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AD-AOM 2 360 —
TEXAS CHRISTIAN UNIV FOIT WORTH INST OF BEHAVInRAL R—ETC F/G 5/10PSYCHOLOGICAL AND OROANIZATIONAL CLIMATE: DIMENSIONS AND RCLATI——flC (lj)JUl. 77 A P JOICS’ I. R JAMES. a n BRUNI N00014—76— C—0008
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institu te of behavioral 1~eoearchTexas Chtlstlon Unlvetslty
rott Worth1Texos 7b12~Reproduction in whole or in part ispermitted for any purpose of the UnitedSta tes (ov2 rnnlent. Approved for pub l icre lease; d istr ibut ion unlimited.
Psychological and Organ1zation~ 1 Clima teDimensions and Rela t ionshi ps
Al lan P. Jones and Lawrence R. James
Iii c o l l a b o r a t i o n ~d th John R . Br un i ,Chris W . I lornick , and S. B. Sells
F i na l Repor t
July, 1977 0 ~~~~~~
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Psycholog!cal Climate StructureOrganizational Climatl’ “on t~~vL - Situational Varian e Perceived Climate
T Interaction
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The present stud y represented an ottemp t to develop a comprehensivemeasure of psychological climate and to investigate the appropriateness ofaggregating psychological climate scores to describe subunit or organizationalclimate. Theoretical assumptions underlying the two constructs were reviewedand r~’latfonsh ips with various situational , positional , and ind ividual vari-ables were posited as indices of cons t ruc t va l id i ty . Analyses i n d i c a t e d t ha t :(a) five of six psychological climate dimensions found for 4,315 U.S. Navy
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enlisted men were generalizable tc’ comparison samples of firemen (n 398) and
~~ health care managers (n~5O4); (b) aggregating psychological climate scores todescribe subunit climates appeared appropriate only for homogeneous subunits
1 (e.g., divisions): (c) subunit climates were significantly related to divisioncontext , structure , and personnel compos I tion , whi 1~ psychological climate
I appeared more related to individual r ’ se ’or ”ec and position variables,~ and• (d) subunit climate , structure , conte ct , and personnel composition m~~sureswere significant predictors of division performance criteria. Result~ ~~ reinterpreted relat ive to the t orot~~ca1 p’op€ ’rtien of climate and pr i4~,
rresearch on structure and con”e ’
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The p r e s e n t st n d . ‘ p r o ’ ’ ’ n t t ’ ~ an ~t t . :~~~ T t o ~o ’ v ’ ] ; a c ” .;~ ’. ’ h o n s i ’ .” “ . a o u r ~
of p s y c h o l o g i c a l c i i ~~ t ’ ’ and I~~v ’ ’~ i~~.i t a’ :I ; ) r ’r o p r i a t e n o’s s’ ’, t .‘o~~~’r . ’ ,’a t n~ ç
p sycho log ica l c l i ma t e s o r e s to d t ’ . ’r ~ht ’ ‘a l i w t or ‘r ; ;on I za~ i t , J ci io dte
T h e o r e t i c a l assunptic ’~ s under1 yin~’, the ‘~ constrocts were r e v l I ’L o d , .‘n~d rela-
t ionships with various situat Ic” h”I i , p ” ~ i t ional , a nd individual variables were
posi ted as indices of c o n s t r u c t v . , l i d i t v . A n a i v s c s indi~~-Ite d t n a t : ( a ) five
of six psychological clinar e dimensions found for L,,315 1’. S. ~ a vv en isted men
were general izable to comparison samples of fir ’ nen (n = 398’) and health care
managers (n = 504); (b) aggregating psvch ’logical clinat e scCres to describe
subunit climates appeared appropr iate only for homogeneous subunits (e.g., di-
visions); (c) subunit climates were s i g n i f i c a n t ly r e l a t ed to d iv i s ion con tex t ,
structure , and personnel composition , whi]e psycho~ o~ ical c 1~~nate appeared more
related to individual resources and position variables; and (d) subunit climate ,
s t r u c t u r e, context , and personne l composition measures were significant predic-
tors of division performance criteria. Resul~~ were interpreted relative to the
theoretical proper ties of climate and prior research on structure and context.
PF.ycholog Icai Cli nate
2
Psycholog ical and Organizati onal Clinate : Dimensions and Relationshi ps
Several recent artlclos and r ev i ews have . at t e s t d to the current popularity
of climate research and , more irportant , have off er€ ’~ su~~est1ons for future
theoretical and emp irical efforts (cf. Campbell , Dunnette , Livier , & Weick , 1970;
Guion, 1973; }Iellrelge l & ~ locun , 1974; Jar- es & Jones , 1974; Payne & Pugh , 1976;
Schneider , 1975a; Howe & Gavin , N o t e 1). The stron~ vnt , most f~ equent reconnen—
dation was for a clear , explicit description of t~~e conceptual properties of
climate that identified variables relevant to measur !oc~ the construct and speci—
fied relationships with various situational and in ’ividual attrfbutes. As a
first step in this process , James and Jones (1974) suggested that a d i s t i n c t i o n
be made between climate as an individual , perceptua l a t t r i b u t e (psychologIca l
• climate) and climate as a situational attribute (organizational climate). In
light of this distinction , certain of the reccr-~mendations ~n the above articles
appeared especially relevant.
Regarding psychological climate, for example , it was recommended that the
focus of perceptual measurement be descriptive , that measures Include task as
veil as person and social characteristics , and that studies investigate the
direct and interactive influences of situational and individual attributes upon
climate perceptions. With respect to organizational climate , it was suggested
that a further differentiation be made between organizational climate and subunit
climate (e.g., workgroup climate , division climate , etc.), with the former term
~e.erved for descrip tions of the total organization . This suggestion was partic-
ularly importan t given the popular procedure of basing subunit and organizational
climate measures on aggregated psychological climate scores and was consistent
vith a recommendation that criteria be developed to assess the appropriateness
of such aggrega tion. Finally, it was suggested that research on each of the
•0~0 ,~~~~~~ — -~~~~~~~ - - -
Psyc h o lopi ca l CUrate
3
level s of c l i m a t e ( i n c l - J d l r d p v c h o 2 o g ~ cal c U r - a t e) should Incorp orate long itu—
tinal as well as cross—s ectional d c p ~ ’: and t;hould explore the construct valid-
ity of d ir-ate In term s of relationships with a variety of situa tional and Indi-
vidual characteristics , and with performance by individuals , subunits , and
organizatIons .
The present stud y addressed a subset of the above recorsoendations concerning
needs for theoretical development and emp irical research. The objectives of the
study were: (a) to develop a comprehensive ‘rea~ ure of p s y cl i o io g i c a l c li ma t e ;
(b) to investigate the appropriateness of aggregating psvcbological climate
scores to describ e subunit and organizational climate~ (c) to investigate the
construct validity of psychological and subun it climate scores in terms of rela-
tionships wi th selected s i tua t iona l and individual variables; and (d) to explore
relationships between subuni t c l imate scores and subuni t performance.
The theoretical basis for the development of the psychological climate meas-
ure is presented below. Included in this presentation is a comparison of assump-
tions for psychological climate and for climate treated as a situational attrib-
ute. This comparison Is then used to explore the appropriateness of aggregating
psychological climate scores to describe the climate at various levels of the
organization , including the total organization . A brief overview of probable
relationships betveen psychological and subunit climate and selected situational ,
tmdivid ual , and subunit performance variables is also presented. Finally, a
specific stat ement of the research strategy is provZded .
Theoretical Properties Underl y ing Psychological Climate
In the literature describing climate as an Individual , perceptual attribute ,
there appeared to be certain common assumptions regarding properties of the con—
•tr uct. Before discussing such assumpr.Ions, however, it must be noted that ,
vhile the authors cited below stressed psychological or perceptual attributes
— ~~-=t=.-, ,--
~~~.-
~~,_
~~_ •—- . - - — —
Psycholopi cal Clf’-at e
4
of climate , nost of then spe clficaUv o~ ed ‘he tern “org anIzational cu rate ”.
Thus, describing their work as psychological cUr-ate represents an Interpretive
liberty.
1. One of the most common assumptions was that psycholog ical climate repre-
sents a perceptually based , psychologicall y processed description of the situa-
tion, where the individual filters , interprets , and structures perceived situa-
tional attributes. For example , Schneider (1975a) described climate as a set
of macro perceptions which reflected processes of concep t formation and abstrac-
tion based on micro perceptions about specific organizational conditions , events ,
and experiences. Campbell and Beaty (Note 2) expressed similar ideas of percep-
tual filtering , summation , and cognitive structuring. Ittelson , Proshansky ,
R.ivlin, and Winkel (1974) suggested that the indIvidual organizes perceptions
of the env ironment into an abstract “cognitive map” that serves to guide future
predic tions and behavior . This cognitive map refers to the Individual ’s Inter—
ualized representation of the situation and reflects an inherently inseparable
combination of perceptual and cognitive processes.
The above authors stressed the descriptive, cognitive nature of psycholog-
ical climate, divorcing it from the affective , evaluative aspects that would
render it tautological with job—related attitudes such as satisfaction. At a
conceptual level, authors in both the climate (cf. James & Jones , 1974 , 1976;
Payne & Pugh, 1976; Payne, Finetnan, & Wall , 1976) and job satisfaction literature
(cf. Locke, 1976) carefully distinguished between p~rceptual/cognitive represen-
tations of the situation and affective/evaluative reactions to that situation.
Although empirical findings have been somewhat mixed , recent research has tended
to suppor t this distinction between psychological climate and satisfaction
(La Folle tte 6 Sims , 1975; Schneider & Snyder , 1975). It should be noted that
dynamic interrelationships were generally assumed and often found in climate—
—-~~~
-~~~~
-,-‘--. - - ,
~~~~~~~~~~~~~~~~~~~~~ --.
~~—-.
~ C———
Psy choiog ical C1f~- ate
S
satisfaction studies (cf. Helirc i gel & Slocun , 197 6 ) .
2. Another common assumption re~ ard 1n~ n sycholo glcal cUr-ate was that a
limited number of dimensions can character ize a large and varied group of social
environments. Insel and Moos (197’.) propos ed three such dimensions-—re lationship,
personal development , and system maintenance. Campbell et al. (1970) Isolated
four d imensions as common to a number of emp irical climate studies in organiza-
tions. These dimensions (individual autonomy ; degree of structure imposed on
the situation ; reward orientation; and consideration , w a r m t h , and support) were
supported by subsequent factor analy t ic studies of perceptual data (Sir-s &
La Folle tt e , 1975; Waters , Roach , & Bat h s , 1974), although it was noted that
a communality of items might have contributed to such results and that the number
of dimensions was perhaps too few . In this respect , Payne and Pugh (1976) added
a fifth dimension, orientation toward development and progressiveness , and sev-
eral authors noted that specific dimensions might be needed to describe
particular situations .
The major divergence from the idea of a common core of dimensions appeared
when Schneider (1975a) postulated that the question of dimension salience was
relevant only in the context of a particular criterion . He viewed organizations
(subunits and workgroups) as having many climates (e.g., climates for creativity,
motivation, etc.) and concluded that the term climate “should refer to an area
of research rather than a construct with a particular set of dimensions.”p
Schneider ’s viewpoint represe nts a serious divergenee requiring empirical
examination.
3. Another important assumption was that psychological climate represents~
an intervening variable in a model of org anizational functioning. The interven’-
ing nature of psychological climate is inherent in the concept of a cognitive
map , whereby the individual transforms situational stimuli into perceived situ—
Psycho1e~ 1ca1 Climate
6
ationa In fluences (I.e., perc ep t irn5 ; of how t i . situation Influ ences ~he ind i-
vidual). Such perceived influences (e.~~., amb ly u it y , wi r r - ti , progr eu~~iver.ess,
etc.) are emp loyed to achieve a “fit ” with the situation by “ap p r e h e r d i n~ o r d e r ”
and “gauging appropriateness of behav ior ” (Ittels on et al., 1974; Schneid er ,
1975a). Thus, psycholog ical climate acts as an internalized , psycho logicaUv
meanin~. ful reprt- st-ntat i~’n of t h e sit u at ion th:.. t ~u id e s f’~tu r a t i tudes and be-
haviors (Cannbell et al., 1~~’0; It~ elson et al. , 1974 ; J~tn . s i~ Jones , 1974).
4. There also appeared to be considerable agreement that the situational
var 4ables that are most related to psychological climate are those with rela-
tively d irect and immediate ties to individual experience. For example , it was
pointed out that characteristics that are conceptually more distal or remote from
individual experience require more complex , in tervening linkages to be related
to individual perceptions and behavior (Ind ik, 1968; Jessor & Jessor , 1973; JamesI
& Jones, 1976). In a similar vein , Lawler, Hall , and Oldham (1974) argued that
percep t ions of climate were more related to relatively immediate characteristics
such as organizational and subsystem processes than to structural attributes.
In summary, certain common assumptions appeared to underlie treatments of
climate as a psychological , perceptually based attribute , namely, that psycholog-
ical climate: (a) is primarily descriptive; (b) involves a psychological pro-
cessing, abstracting, and structuring of perceived situational attributes into
an internalized representation (or cognitive map) that reflects influences of
P the situation ; (c) is multidimensional , with a central core of d imensions
(although specific dimensions might be added to describe particular situations);
Cd) tends to be most closely related to situational characteristics that have
relatively direct and immediate ties to individua l experience; and (e) occupies
an intervening role in a model of organizational functioning, where the poin t
of intervention is within the individual. Based on these assumptions , it was
— —
ho O~t i d l (;i ] c i T .
7
Cu~1C 1c ed t h i t , ri~- i~z c - ~ .ss~ ’d i n t t l it i . r at re , 2cv - j~± - i 1 c f l~~n t & - r e f e r s to
— — i1 ’ S T I r t n t it lot ‘,i t i iona l i. e i t lo ~s t h i n
t e o r ~- i ~~i . - t i n a: t~~~ i - i c h i n i t ~~, t r i d s t im p si ;~e c on d I t i o n s t h a t ar e re a—
t i : e1v i ~v- . e d i a t e t o i n d i v i d u a l ex r i e n c i~~~ ffId r e f l e c p ~~~~~~~~~ n i t i v e transforin a—
t i o n and structu in~~~cf t hei-i e c o n d i t i o n s l it o e r c ei ve d s it u a t i o n a l influences.
Imp l ic a t i on s for Measurement. of_j oia~~cal Climate
The foregoing discussion of assumptions appears to have important imp lica-
tions for measuring ps-- i.hological chircnte . The assumptions that psychological
climate is primaril y descri ptive , represents a psychological transformation of
perceived situational characteristics into perceived situational influences , and
is most closely related to situational attributes that are relativel y proximal
to individual experience indicate that emp irical indices of psychological climate
might be based on perceptions of such proximal attributes. Previous reviews and
research (Hellriegel & Slocum , 1974; Indik , 1968; James & Jones , 1974, 1976;
Payne & Pugh, 1976; Schneider , 1975a; Sells , 1963, 1968a) have suggested a var—
iety of relevant situational attributes , including: (a) job or role character-
istics such as job variety and challenge , job pressures , and role ambiguity; (b)
leadership characteristics and behavior such as support , goal emphasis , and m i —
tiation of structure ; (c) workgroup and social environment characteristics such
as friendliness and cooperation; and (d) cer ta in subuni t and o rgan iza t iona l char—
acteristics with relativel y direct ties to individual experience (e.g., manage—
ment awareness of employee needs , fairness of the reward process , etc.). Thus,
the empirical exploration of relationships among perceptions of these various
attr 4butes would seem important in developing a measure of psychological climate.
p Assumptions Underlying Climate as a Situational Attribute
Many of the assumptions regarding psychological climate appeared to have
rela~ ively direct parallels in the literature treating climate as a situational
P
-- ~~~~~~~~~~~~~~~~~~ - - - - - — — - ---
~~~~~~ -— —!!i.. --- ~~- ‘a~--’ ~~~~~~~~~~~~~ - - - ________
I’Sy ( h I ‘,~‘ l ea I ( I i it
a t t r i b t ~~e . Fir c t , S i b tre t t s ass i~~ed t h a t c l im~i t . b~~c r i h es s i t u a t i o n a l
c o n d i t i o n s (P~i v n i . ~ P i t h , i i) and se cond , t h a t t h i s d e s c r i p t i o n i s m u l t i d i ~ u e n —
s i ona l ~‘i t h w h a t a p p e a r s t o hi. - a common core of d i m e n s i o n s ( l n s e l :~ M o s , 1 9 7 4 ) .
The c a u t i o n h y S c h ne i d e r ( 19 7 5 a ) i s i m p o r t a n t , however , b e c a u s e some dimensions
of c l im a t e may be m o r e a pp r o p r i a t e l y i n t e r p r e t e d at leve]s b e l o w the t o t a l or-
ganization. For examp le , cooperation and friendliness may vary across different
subunits and thus might be interpreted most meaning fully at the subunit and work-
group levels of analy sis. Third , it has been assumed that the variables that
are most closely related to workgroup , subunit , and organizational climate are
p those proximal situational variables that are most likely to h ave psychol og ical
importance to individuals in the situation (Payne & Pugh , 1976).
There has been considerable agreement also that climate treated as a situ-
ational attribute represents an intervening variable in an organizatioi-ial model.
Insel and Moos (1974) characterized organizational environments as having “per-
sonalities” tha t exert directional influences on behavior , while Ittelson et al.
(1974) pointed out that environments possess a “demand character ” that not only
describes the imm edia te sensory s t imul i of the situation but also encompasses
a social and symbolic meaning. In a related vein, Payne and Mansfield (1973)
described organizational climate as a conceptual linkage between organizational
and individual levels of analysis. From this perspective , climate intervenes
between specific situational attributes or events and individual perceptions ,
attitudes , and behavior (Payne & Pugh, 1976) and has often been viewed (albeit
implicitly) as a summary description of how the situation influences individuals.
Heliriegel and Slocum (1974) referred to climate as a set of organizational or
subsystem attributes that may be induced from the way an organization or its
subsystems deal with its members. For example , relatively specific situational
attributes such as unstructured role prescriptions , unclear reward contingencies ,
P
-
- - Jffi - ~~. - — - -
I ’ s ye h o l ~~ i c . ! C l i i . it e
9
in 1 i t h r e ct i v i 1 t e r s h i p n i g h t he t ratt ’;foru~ i i i n t o t h e s i t of S i t u j ~~~ m e l
i n ? I r i c s r c f c r r t J 1 as a c o n f l j c t i n ’ a r t ! a m b i p u o u i s c l i m a t e . T h i s t r a n s f , r m a —
t i o n of s p e c i f i c s i t u a t i o n a l i i t t r i h i t s i n t o situatio nal i n f lu en c e s is u r i l i e r
e v i d e n t in the names given to most clima te dimensions (e .g., autonomy ,
consideration , warmth , etc.) .
In summary , theo retical treatments of climate as a situational attribute
(i.e., organizationa l or subunit climate) suggested that it: (a) is primarily
descri ptive of organizational and subunit situations; (b) is multidimens ional
with what appears to be a central core of dimensions (although specific d imen-
sions might be added to describe particular situations or nopulations); (c) tends
to reflect primarily aspects of the organizational and/or subunit environment
that are most proximally related to individual experience and behavior; and (d)
indicates an intervening variable in a model of organizational functioning where
the point of in te rvent ion lies between the relatively specific characteristics
and events of the situation and the individual and represents a transformation
of situational attributes into situational influences. Based on these assump-
tions, therefore , it appears that climate as a situational attribute describes
a set of situational influences within the organization and its subunits, tends
to emphasize those conditions that are relativel y immedia te to individual exper-
ience, and reflects relationships among situational characteristics in terms of
the ways the situation influences people.
P In terms of the current literature , therefore , the basic differences between
climate viewed as a psychological attribute and climate viewed as a situational
variable appear to rest on assumptions about the point of intervention . For
P psycholog ical climate , the assumed point of intervention lies within the indi-
vidual , so that any transformation of situational attributes into psychologically
meaning ful , internalized representations of the situation and its influences must
p
___________________
Psy ;hological Cl li- tat e
10
involve the individua l as a perceiver and as a cognitive processor. For climate
viewed as a situational attribute , however , the assumed point of intervention
lies outside the individual. Thus , the latter concept describes only the situ-
ation, although this descri ption includes the social and personnel characteris-
tics of the situation , as well as structural , technolog ical , process , and other
such variables.
The concept of intervening variable as applied to situational climate is
a difficult one. It is perhaps clearest in considering experimental studies of
climate , where one does not attempt to manipulate climate directly but rather
manipulates variables such as structure , leader behavior , etc., which presumably
result in variations in climate that equally influence all persons within a par-
ticular treatmen t condition. Thus, it appears that situational climate cannot
be assessed directly but must be inferred either from the configuration of sal-
ient situation characteristics which are presumed to lead to a particular climate
or from consistencies in the responses of individuals who are assumed to have
P experienced that climate.
Conceptually, it appears that situational climate refers to the character
of the situation that is represented by the pattern of relationships among a
variety of situational events, organizat ional processes , role expectations , and
so forth and which exerts a common core of influence on workgroup (subunit , or
organizational) members, whereas psychological climate represents the individual ’s
cognitively transformed , internal represen tat ion based on perceptions of such
characteristics , events , rol e expectations , and influences. Thus, the most im-
portant difference between the two constructs as discussed in the current liter-
ature appears to lie in the assumed presence or absence of individually based ,
cognitive processing of the external situat ional characteristics and influences
tha t have potentia l impact on individual members .r. -
-, ‘- - ‘i~~~~ -_ _ _ _ _ _ _ _ _ _
Psyrholo :’ica~ Cu rate
11
Given such a perspective , one would expec t dynamic and substantia l in ?.r-
relationships between the two constricts. Although such interrelatedn ess ciues
not negate basic conceptual distinctions between the constructs and , as discussed
below , does provide a rationa le for the use of aggregated psychological climate
scores to infer situational climate , the same overlap makes it difficult to de-
vise independent empirical indices of the two constructs in any given study.
Aggregation of Psychological Climate Scores to Represent Subunit and
Organizational Climate
Many organizational researchers have sought to develop measures of the sets
of situational influences referred to as subunit or organizational climate be-
cause of the presumed relationships between these influences and organizational
or subunit performance . For example, climate has been discussed as a direct
predIctor of various criteria or as a moderator of certain predictor-criterion
relationships (cf . Campbell et al., 1970; James & Jones , 1976; Payne & Pugh ,
1976). The most popular approach to measuring subunit or organizational climate
has been by aggregating psychological climate scores.
The rationale for aggregating psychological climate scores to describe sub-
unit or organizational climate appears to rest primarily on the communali~y of
assumptions underlying the two constructs. Of major importance are the assump-
tions that both constructs describe situational influences and represent some—L.
thing more than a simple listing of relatively specific situational attributes.
This dual emphasis on description and transforma tion of specific situational
attributes into situational influences appears to provide the basic conceptual
linkage between the two concepts. In othe r words , to the extent that individuals
perceive part icular aspects of the situation that are reflected as situational
influences, it appears reasonable to expect a corresp ondence between organiza—
tionsl (and/or subunit) climates and the perceived situational influences which
- ~~ ~~~~~~~~~~~~~~~~~~~~ j i • .- —,---
- —
Psychol og ica l Cl ima te
12
form psychological climate.
The use of aggregated psychological climate scores to measure subunit or
organizational attributes requires , however , that the aggregated scores meaning-
fully represent the situation. 1 A common strategy to assure such representative—
ness has stipulated that agreement must exist among perceivers before aggregation
is justified , on the basis tha t percep tual agreemen t implies a common situ ational
Influence (ef. Culon , 1973; Insel & Moos, 1974; James & Jones, 1974; Schneider ,
1975a).
Various methods have been used to assess perceptual agreement , including
differences in mean perceptions across different situations or trea tmen ts, inter—
rater reliability within a single group , and correlations among the perceptions
of individuals occupying different organizational levels. h igh indices of inter—
rater reliability or statistical power connote that the perceptions primarily
reflect differences across situations and thus Imply perceptual agreement whereas
within situation variance implies a lack of perceptual agreement. Empirical
indices of statistical power (eta-squared , omega—squared) or interrater reliabil-
ity (intraclass correlation) have generally been low to moderate , varying between
.06 and .35 (Bass, Valeozi, Farrow, & Solomon, 1975; Schneider , 1975a; Campbell
6 leaty, Note 2). Converted to Spearman-Brown estimates of reliability of the
mean (aggregated) score (Ebel, 1951) , values have varied between .70 and .91
(Sc1m~eider, 1975a). Unfortunately, when many individuals are involved , aggrega—
tion across relatively heterogeneous individual per~eptions might still yield
high estimates of the reliability of the mean, questioning this procedu re as an
index of perceptual agreement.
mother potential index of the representativeness (and thus appropriateness)
of aggregated psychological climate scores concerns the degree to which various
climate—related , situationa l measures differ from subunit to subunit or from
-~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Psychological Climate
13
individual to individual. For example , recent reviews suggested that context
(technology , goals , etc.) and structure (size , centralization of decision making,
span of con trol , etc.) are among the situational variables that influence organ-
izational or subunit climate (James & Jones, 1976; Payne & Pugh, 1976). These
and other authors (Litwak, 1961; Mahoney & Frost, 1974; Scott , 1975), however ,
have questioned whether many context and structure measures are meaningful when
used to describe organizations consisting of heterogeneous subunits wIth varying
goals, technologies , subgroup sizes , and so forth. Thus, to the extent that
climate r2flects variations in such variables, aggregation of perceptions across
subunits with heterogeneous context or structure attributes would appear
questionable.
P.rceptions of climate also have been shown to reflect differences In organ-
izational position such as hierarchical level and job type (Hei.lreigel & Slocuui,
1974; Johnston, 1974; Jones, James, & Bruni, 1975; Payne & Mansfield , 1973;
Schneider & Snyder., 1975; Stone & Porter , 1975). Newman (1975) demonstrated that -
organizational position (functional division, department , workgroup , and hierar-
chical level) accounted f or more variance in climate perceptions than did per—
p sonal characteristics (age, sex, number of dependents , education , and tenure).
Be concluded that different positions were subject to differen t experiences andp
that positional differences were more Important than personal characteristics
in the development of the individual’s perceptual—cognitiv e map of the
organizationa l situation.
Conclusions that different organizational positions experience different
situational influences have important implications f or the aggregation of psycho-
logical climate scores. That is, although many studies (e.g., Gavin, 1975;
Pritchard & Karasi ck, 1973; Schneider , 1975b; Schneider & Snyder , 1975) have
shown that climate perceptions vary by organization or subsystem , it is dubious
‘S- - — - - - —---~~~~~~~~~~~~~~ -:
~~~~~- — - - - - - . ——— _____ - --------- ---- - - -. - - - - -. .-- _ _
Psychological Clim ate
whether aggregated individual scores represent all the various positions within
a heterogeneous organization or subsystem (Payne & Mansfield , 1973). Furthermore ,
heterogeneity of pos ition , by limiting communality of experience for different
individuals , limi ts probable interperceiver agreement and provides a potential
explanation for some of the low to moderate Indices of interrater reliability
and statistical power reported earlier . Thus, it appears that psychological
climate scores should be aggregated only for relatively homogeneous organizational
units.
Mother factor related to agreement on climate perceptions across members
of organizations or subunits reflects the influences of individual charac ter is-
tics on the perceptual process. For example , previous studies have shown that
climate perceptions covary with a variety of individual characteristics including
personality attributes , cognitive styles, ability , adaptability (Johnston , 1974;
Kerr & Schreisham, 1974; Schuler , 1975; Vannoy , 1965), alienation from cul tural
norms (Blood & Hulin, 1967; Hulin & Blood, 1968), and need strength (Hackman &
Lavler, 1971; Hacknan & Oldham , 1975; Pritchard & Karasick, 1973; Steers , 1975),
as well as age , race , sex, and intelligence (Helireigel & Slocum, 1974). There-
fore, to the extent that an organization or its subunits contain a wide range
of individual characteristics , a greater diversity of perceptions might be
-~~~~ ixp.cted .
A final index of the appropriateness of using aggregated psychological cli-
mate scores as situational measures would appear to be the empirical d emonstra—
tion that such aggregated scores were meaningfully and predictably related to
p various situational measures and to organizat ional or individual criteria . In
other words, Ii. rationale for using aggregated perceptual data is enhanced to
0 the extent that it is possible to establish the construct validity of the aggre—
P gated scores by emp ir ically demonstrated utility in predict ing and understanding
- - - —~~~~~~~~ ---~~~~=--~~~ -- - - ----
S - - . —- ----~~~~~~~~_-
Psychological C1i~ ate
15
organizational and subunit functioning .
In summary, the assumed correspondence between situational influences and
individ ual perceptions of those Influences appeared to provide a logical basis
for using aggregated psychological climate scores to represent shared situational
influences . Other factors (differences In position , technology, type of job,
etc.) contribute to a heterogeneity of influences across individuals or subunits,
however, requirIng an empirical demonstration of shared situational experiences
before aggregation to a particular subunit or organization is undertaken. Poten-
tial criteria which might justify aggregation include the demonstration of: (a)
differences in aggregated or mean perceptions across different organizations or
subunits; (b) interperceiver reliability or agreement; (c) homogeneous situa—
tional characteristics (e.g., similarity of context , structure , job type , etc.);
and (d) construc t validi ty for the aggregated score in terms of meaningful rela-
tionships to various organizational, subunit, or individual criteria .
Issues Related to the Construct Validity of Psychological and Subunit Climate
In regard to the construct validity of psychological , subunit , and or gani—
aational climate scores , it was noted that such scores should be meaning fully
and predictably related to other indices of subunit and organizational situation
and functioning. The following section therefore presents a brief overview of
hypothesized relationships among measures of psychological and subunit climate and
subunit measures such as context , structure , and personnel composition. (Rela-
tionships with individual resources and position vafiables were reviewed in the
arlier discussion of factors related to aggregation.) These hypotheses were
derived from extensive reviews of the literature published elsewhere (cf. Campbell
.t .1., 1970; Forehand & Cilmer, 1964; Helireigel & Slocum, 1974; James & Jones,
1976; Lawler et al., 1974; Payne & Mansfield , 1973; Payne & Pugh , 1976; Porter
& Lawler , 1965; Por ter , Lavler , 4 Hacksan , 1975) and , in the interests of brevity .
- _
‘c~~~~~. — ~~~ -
~~~~~~~ ‘.- -~ - - — —~~~~~~ __________ -
Psychological Clinate
16
are presented generally and in su~-.rnary .
The first general hypothesis regarded relationships between climate (both
subunit and psychological) and Context measures , especially technology . It was
hypothesized that the more complex , nonroutine technologies would be associated
with climates reflecting higher levels of task complexity, variety, imp or tance ,
and challenge as well as higher levels of role ambiguity and autonomy. Further ,
because complex, nonroutine jobs tend to be intrinsically satisfying and motivat-
ing, it was expected that there would be less emphasis on efficiency and morale
as direct subunit goals , although the subunits with noriroutine technologies were
also expected to have more capable , better trained personnel and to achieve
higher levels of subunit performance .
-The second general hypothesis concerned relationships with measures of
“anatomical” structure , that Is, variables describing distributions and formal
relationships among subunits or positions (Porter er al., 1975). It was expected
that high levels of anatomical structure as reflected by large size , tall confIg—
nrations, large spans of control, and high specialization (division of labor)
would be associated with climates characterized by relatively uncooperative,
unfriendly workgroup relationships, coimsunication difficulties, unsuppor tive
leadership, and monotonous, low challenge tasks . Also expected were relativel y
unskilled , low aptitude personnel compositions as well as low levels of subunit
P performance.
The third general hypothesis concerned relatioi~ships with measures of “oper—
ational” structure or measures reflecting the structuring of events (Katz & Kahn ,
1966). It was expected tha t high levels of operationa l structure , defined by
high centralization of auth ority, for malized roles and communication procedures ,
and standardized procedures , would be associated with climates characterized by
b y levels of role conf lict and ambiguity, task—oriented leadership , low levels
- - - -~~~~~~~~~~~r~~E~ L - - -•--—----—-- —- - -
Psycholog ical Clim ate
17
of ind ividual autonomy , and monotonous , unchallenging tasks that were low In
complexity. Also expected were lower scores on subunit performance measures and
less capable, less trained personnel.
The final hypothesis reflected a general theme of a social system , integrat-
ing model approach to organirational investigatIon (cf. James & Jones , 1976).
Eased on the linkage concept that variables in direct conceptual proximity would
be more highly intercorrelated than variables connected by indirect linkages or
intervening variables (Indik, 1968), it was hypothesized that subunit context
and structure measures would be more highly related to subunit climate than to
psychological climate which by definition includes the additional elements of
perception and psychological processing of situational attributes.
Strategy of the Present Research
Development of a psychological climate measure. The development of a meas-
ure of psychological climate involved three steps. Following a comprehensive
review of the literature (cf. James & Jones, 1974 , 1976; Jones , James , & Hornick,
lote 3; Jones , James, Bruni, Rornick, & Sells, Note 4), measures of a var iety
of perceived situational attributes with relatively direct ties to indivIdual
experience were constructed and administered to a sample of U. S. Navy enlisted
man. Second, these measures were component analyzed and the resulting components
• were used as indices of psycholog ical climate. Third, component solutions were
conpared across two additional types of organization to assess dimension general—
izability and the potential for a coweon core of dimensions.
Aggregation of psychological climate scores. Within the Navy sample , psy-
chological climate scores were aggregated to describ e subunit and organizational
climate. The represeatativeness of each level of aggregation was empirically
assessed on th. basis of: (a) significant differences in subunit mean psycho log—
ical cl imate scores, (b) indices of statistical power and interrater reliability,
— - .-— .-.
— ~~~~~- --
Psychological Climate
18
(c) estimates of the reliability of the mean scores , and (d) representativeness
of other climate—related situational measures (e.g., structure). As treated
later , the data suggested that aggregation should be res tricted to the level of
the smallest (and most homogeneous) subunit studied .
Construct validity of psychological c l ima te and subun i t c l i m a t e ne~isures.
The construct validity of the psychological and subunit climate scores was further
assessed by relating such measures to measures of subunit context and structure
and to measures of individual resources and position variables (for psychological
climate) and personnel composition (for subunit climate).
Prediction of subunit perfo rmance. The relationships of situational attrib-
utes (includ ing subunit climate) with subunit performance were investigated by
using subunit context, structure, climate, and personnel composition measures
to predict subunit performance.
Method
Sample -
The U. S. Navy sample consisted of male, enlisted personnel (n — 4,315) on
20 ships operating in the Atlantic and Pacific Oceans during the latter half of
1973. The ships included two aircraf t carriers with crews of approximately 4,000
men, and four classes of destroyer with crews averaging between 225 and 375 men.
Ships were organized into four or more departments , each responsible for a major
set of duties (e.g., engineering , ope ration s, supply, weap ons) . Departments were
further subdivided into divisions ; for example , the ’Engineer ing Department con—
sisted of divisions concerned with the main pro pulsion unit , boilers , electrical
systems, and so forth. The total possible subunit sample was 105 departments
and 281 divisions.
Individual sampling on carriers was limited to non—aviation personnel and
stratified by department and division; destroyers were sampled on a 100% basis.
—
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -
~~~~ -r~~ ---- - ---~~~~~~~~r-,~~ ~~~ — .~~~___.___— _---_ -
Psycholog ical C l i m a t e
19
Individual questionnaire data were collected in group sessions during the first
weeks of deployment. Responses were obtained from 76% of the available men on
destroyers and 45% of the men in sampled divisions on carriers (90% of the dis-
tributed questionnaires). Age (M 23.8 years) and time in the Navy (M = 4.8
years) indicated that most respondents were in their first enlistment. Levels
ranged from E—1, the lowest enlisted pay ra te, to E—9, the highest enlisted grade;
mean education was 12 years.
Two additional samples were studied to explore the generalizability of the
psychological climate measures. One sample consisted of 393 male firemen below
the rank of district chief in two departments in thz. southwest United States.
lire stations consisted of one to four companies of four men each; questionnaires
were administered to groups of 8 to 16 persons. Data were obtained from 72% of
eligible respondents. The average age was 36 years; mean tenure was 11.3 years;
432 of the sample had completed one or more years of college.
A second comparison sample consisted of 504 exemp t emp loyees of a private
health care program, ranging from top regional management to first—line superv I-
sora. Fourteen functional areas (e.g., nursing, data processing, accounting)
p and 42 separate locations (including seven large hospitals were represented .
Questionnaires were administered by mail, with a 742 usable return rate. Females ,
primarily nursing supervisors, represented 52% of the sample. Mean age was 42
P years; approximately half the sample possessed a college or professional degree .
Individual Level Measures
Psy~cho1ogical climate questionnaire. The psychological climate question—
p maiz e (administered to all three samples ) consisted of 145 items that described
relat ively specific aspects of the work situation. The items represented 35
a priori composites , many of which had been shown by previous research to be
interna lly consistent , psychologically meaningful measures of the work environ—
- ~~~~~~~~~~~~~~~~~~~~~ -‘---‘- -~~~—-
Psychological Climate
20
aent (see Table 1). Each composite consisted of two to seven items , each wIth
a stem and three to five scaled responses. Composites were scored by summing
across relevant item responses (variances were similar).
Insert Table 1 about here
Job or role related measures included role ambiguity, role conflict (House
& Rizzo, 1972a; Kahn, Wolfe, Quinn, Snoek, & Rosenthal, 1964; Lichtman & Hunt ,
1971), autonomy (Campbell et al., 1970; Hackman & Lawler, 1971; Turner & Lawrence,
1965), task variety , task identity, job challenge (Forehand & Cilmer, 1964;
Hackman & Lawler , 1971; Porter & Lawler, 1965), and opportunities for growth and
advancement (Herzberg, 1966; House & Rizzo, 1972a , 1972b). Other measures
reflected job pressure and standards of performance (Rouse & Rizzo, 1972a; Sells,
1963 , 1968a).
Leader related measures included support, interaction facilitation , goal
emphasis , and work facilitation (Bowers & Seashore, 1966; Campbell et al., 1970;
Rslpin, 1966; Rouse 6 Kerr , 1973; Likert, 1961; Litwin 6 Stringer, 1968; Taylor,
1971), as veil as measures of the leader’s ability to plan and coordinate actlv—
ities and influence superiors (Rouse & Kerr , 1973) . Also included were measures
reflecting confidence and trust between supervisors and subordinates (Flacks,
1969; Jones et al., 1975; Sells , 1968a; Wood , 1974).
Measures of the workgroup environmen t included cooperation , fr iendl iness ,
prid e, and workgroup image (Blau , 1954 ; Parris , 1971; Hackman & Lawler , 1971;
P 1*11, 1971; Steiner , 1972). Finally , variables primarily related to larger sub-
units and th. total organizat ion included organizational level ambiguity and
conflict (Rizzo, Mouse, 6 Lirtaman , 1970) , communication patterns (Sells, 1968b;
Thaw, 1971), consistency and fairness of organizational policies and reward rol— -
-v — -— - - —-—--——- — -
Psychological C1~~ate
id es and reward processes (Hacknan & Lawler , 1971; Porter & Lawler , 19’~8; Vroom ,
1964), esprit (Friedlander & Margulis, 1969; HalpIn & Croft , 1963; Litwin &
Stringer , 1968) , and professional and organizational identification (Farris ,
1971).
Individual resource T~easures. Measures of individual characteristics and
resources were obtained for the Navy sample. These measures included age , mar-
ital status, years of formal education, intelligence (Navy General Classification
Test or GCT scores), number of grades failed in school, size of preenlistment
home town (5—point scale ranging from small town to large city), number of rooms
in childhood house (5—point scale ranging from four or fewer rooms to 11 or more),
and three composites measuring Ego Needs (three items reflecting needs for recog-
nition and appr oval , a .59), Self—Esteem (four items reflecting self—confidence
and self—rated ability , a — .54), and preenlistment disciplinary record (three
items reflecting school and discipline problems, a — .64).
Position variables. In an earlier article, Herman and Rulin (1972) sug—
geared that variables primarily controlled by the organization (e.g., size, tech-
nology, etc.) are situational and thus may be distinguished from variables such
as age or education which are brought into the situation by the individual andp
are relatively Independent of organizational control. In attempting to apply
this distinction , however , they found that the classification of some var iables
(e.g., tenure , hierarchical level) was arbitrary because such variables were
~ itually controlled by both the individual anc! the •rganization. Thus, in the
present study, variables which reflected mutual organizational and individual
influences were considered separately as a third category . Because such vari-
ables are typically related to the individual ’s position or status in the
organization they were referred to as “position variables”.
Position measures obtained f rom the Navy sample included self—report meas—
- - - - —~~- - -.
Psychological Cl m ate
22
ures of tenure , leve l or pay gr ade , number of men supervised , number of advanced
or technical training schools (A or B schools) completed , and number of func-
tional or other training schools completed. In addition , measures of job spe-
cialty were obtained from ship records and grouped into four types——unskilled ,
requiring little training; medium level mechanical; clerical and low level tech-
nical; and high level skilled (Orr, 1960; Seymour, Gunderson , & Vallacher, 1973).
Organizational and Subunit Situational Measures
Although situational measures were obtained from the Navy sample for ships ,
departments , and divisions, analyses were restricted to the subunit level for
reasons discussed later. Thus, situational measures are described only for the
levels at which subsequent analyses were conducted (i.e., departments and
divisions).
Subunit structure measures. Measures of the anatomical aspects of subunit
structure were obtained from ship records. These measures included: size—the
number of men in the division/department; specialization——the number of separate
occupational titles in the division/department; configuration/shape——the number
of actual ranks between the lowest and highest ranking enlisted men in the
division/department; and configuration/span of control——a ratio of the number
of enlisted supervisory personnel (E—6 or above) to the number of men below that
rank (a high score reflected a low span of control).
P As shown in Table 2, operational aspects of subunit structure were measured
by 21 questionnaire items (4 or 5-point Llkert scal~s) derived from interviews
with Navy personnel and from the research literature (James & Jones, 1976; Inkson,
Pugh, & Uickson, 1970; Pugh, Bickson, linings, & Turner, 1968). Questionnaires
were administered during the first weeks of deployment; responses were obtained
from the heads of 91 departments and 224 divisions.
-
- - - - —
.. . - . T —- — —— -V ________ ______
Psych o1~ig ic a1 C 11r~ate
Insert Table 2 about here
P A principal components analysis of the 21 items yielded seven components
with elgenvalues > 1.0. The seven components were: (a) General Centralization
of Decision Making , (b) General Standardization of Procedures , (c) Interdepend—
ence with Other Work Units, (d) Formalization of the Role Structure , (e) Central-
ization of Work Allocation and Scheduling , (f) Formalization of Communication ,
and (g) a unique component reflecting Standardization of Procedures for Expending
Funds. Separate analyses for departments and divisjons yielded similar results.
Component scores (N = 50, SD = 10) were calculated for each department and
division by a direct solution method (see Harman, 1967 , p. 349).
Internal consistency estimates of reliability were based on item s with load-
ings > ~~~~~~ Except for Formalization of Communication (a .27) and the one
item component for Standardization of Expenditures , alpha varied from .52 (Inter—
dependence with Other Work Units) to .72 (General Centralization of Decision
Meking) and was considered acceptable given the limited number of items. The
Vormalization of Communication and Standardization of Expenditure components were
deleted from remaining analyses .
— Context measures. Context measures (also based upon questionnaire data from
r the 315 division and department heads) included technology and emphasis on var-
ious goals , as well as personnel , habitability , and’equipment resources. Tech-
nology was measured by a 4—item composite (range — 4 to 19). A high score
reflected a nonroutine , complex technology where success was difficult to eval-
uate and subject to uncertainty (cf. Hage & Aiken , 1969; Mohr , 1971; Perrow, 1967;
Pugh, Hickson, Hinings, & Turner, 1969; Woodward, 1965). Coefficient alpha was
only .44, but significant item intercorrelation . suggested that they sampled one
-V-V.— ~~~~~~~~~~~~~~~~~~~~~~~~ ~~~~~~~
. :.~~~~~. -.
~~ - . -~~ .~~~
.
P s y c h o ] ‘;- ca~ Cl 1 ’ - V l ’
conceptual area (i.v-,es & E~ hson , ~973) .
The e—p hasls p iaced rn v:rious goals w~ir; measured in te~ -s of two conpo ncnt
scores. Fe~ r—point , L~kert t ype item s were con~;truct~~ to r~~nsure n~ nc mijor
division and department goals as defined by av~’ p er c o n r ~e~~. Components a n a l y s e s
of these items vIe~ded tw: ’ c e-~ s (X = 1.0 , 42% of trace): (a) Erp hasis on
Morale , ref .ecting the e~ phasis on ~rr .n r ov i ng nc r a l e , deve lop ing new procedurec
and programs , promotion of personnel , and doing better than ether departments !
d1v1s~ens aboard ship (~ = . 62 ) ; and (b) Emp hasis on Following Standardized Pro—
cedures , reflecting the emphasis on f o f l ow i r~ s t a n d a r d i z e d procedures , r e l i ab il-
i ty of perfcrmance , and overall e~ fec tiveness (:~ = .51). Component scores (~
V — 50, SD = 10) were computed for each departmen t and division by a direct
solu tion m et h od (Harman , 1967).
Other context measures included single , s—point , questionnaire items for:
(a~ condi t Ion of work equi p m e n t ; (b) ava i l ab i l i ty of funds and supp lies for work;
(c) availability of funds for habitability improvements; and (d) personnelrresources within the department/divi sion.
Subunit cri’er a. The primary measures of s~hcrnlt performance were devel-
oped through a multistage process. First , interviews with naval officers and
ship commanders generated eight aspects of effectiv e division performance: (1)
—. Quality of Work, (2) Adherence to Planned !lainteoance schedules , (3) Readiness
to FulfiF Commitments , (6) Performance under Pressure , (5) Efficiency, (6) Coop—
eretion with Other Divisions , (7) Safety, and (8) t~adership Abitity of Enlisted
Supervisors. Following Identification and definition of these dimensions, off 1—
cers were asked to suggest three statements describing levels of performance
(i.e., poor , adequate , superior) for each dimension.
The resulting 24 statements were randomly mixed (Arvey & Hoyle , 1974). Each
dep~-rtme nt head rated subordinate divisions on each statement by indicating
~~~~~~~~~~~~~~~~~ ~~~~~~~~~~~~~ — -.—-~~~~~~~ . - w— - -V . , - ‘ -‘ — - V . -—-——
Psy rho1o~;Icai Clinat e
whe ther the division p r fernvd : (a) bet ter t h a n , (b ) e q u a l t o , or ( c ) he~~~v t h e
perfor r-ance leve described in t~~’ - s t a t e m e n t (cf . Blanz & hh~ sel11 , 19 7 2 ) .
• Scores on each of the eL~ht d~ m en e i on s wc r~ calculated by surnminp the app r~ :n late
ratings wliure a “better than ’ rat ing was scored as a 3, “equal t o ” r e c e i v e d a
2, and “worse than ” recei ved a 1. (T: e Cuttmon scalin~ n-rnoe dur e recnnmr— ’~ed
by Blanz and Ghlselli provi ded no Improver -nt av er the aPeve approach .~
p Mdit~ ona cr I~~- nia included rat ~np~ by divIsion bea ds c~~nrern rp prc~ ens
caused by the use of drugs and alcoho ’. (4—o cint scale va r v~~ng f t n n f r e ç u e n t to
nonexistent) and f r e q u c r : v of re- :’st to transfer from the division (3—point
P scale ranging from many requests to no requests).
Criterion data were collec ted at the end of each ship ’s dep loyment period
(five to seven months after the context , structure , and ind ividual questionnaire
data). Data were obtained from 1 0 divisionrn, represen ting 19 ships and a~ 1
division types. Despite attempts to obtain data for all divisions , some of the
departmen t and dIvision heads h ad been ro ta ted from the ship near the end of thep
cruise and their replacements lacked sufficient observations to provide the
ratings.
Results
Results are presented as follows: (a) dimensions of psychological climate ,
(b) comparison of these dimensions across samples , (c) agreement and representa—
tiveness analyses for agg regated scores, (d) correlates of psychological and
div ision climate, and (e) prediction of division crtteria.
Dimensions of psychological cl imate . A principal components analysis of
the 35 a priori composites was conducted on the Navy sample (see Table 3). Reli-
ability estimates (coefficient alpha) for these composites ranged from .44 to
.81 m d were considered acceptable because alpha is a function of the number of
p iteirs in the composite and tends to be conservative (Lord & Novick, 1968).
- ~~~~~~~~~~~~~~~~ ~
-~~~~ ~~~~ - ~~~
.——._~_-_--—-— ,
~~ _____________
Psycholog ical C~~~- a t~
Simi la r v a l u e s were f o u n d f o r t he o the r sa-~p l e s .
Insert Table 3 abou t he re
Six c o m p o n e n t s w i t h e lg env a l ue s > 1.0 were found (59% of trace). Follnwing
verimax rotation , the fir t compo nen t reflected perceived conflict In organiza-
tional goals and objectives , combined with amb iguIty of organizational structure
and roles , a .ack of interdepartm ental cooperation , and poor communica tion , from
management. Also Incl uded were poor planning, inefficien t job design , a lack
of awareness of employee needs and problem s, and a lack of fairness and objectiv-
ity of the reward process . This component was labelled “Conflict and Ambiguity. ”
The second component reflected a job perceived as challenging, Imnortan t
to the Navy , and involving a var ie ty of dut ies , inc luding dealing wi th other
people. The job was seen as providing autonomy and feedback , and demanding h igh
standards of quality and performance. This component was designated “Job
Challenge , Importance , and Var ie ty . ”
The third component , “Leader Facilitation and Support ,” reflec ted leader
behavior such as the extent to which the leader was perceived as helping to accom-
plish work goals by means of scheduling activities , planning , etc., as well as‘~~~
the extent to which he was seen as facilitating interpersonal relationships and
p providing personal support.
The fourth component , “Workgroup Cooperation, Friendliness, •and Warmth,”
generally described relationships among group members and their pride in the
P workgroup. Only composites describing the workgroup loaded on this component.
The fifth component , “Professional and Organizational Esprit,” reflected per—
cei ’ed ex ternal image and desi r able growth potential offered by the job and by
thq Navy . Also included were perceptions of an open atmosphere to express one’sp
.
Ip
~~ - .-
- .-— —-— - - _____________
Psycllol ’- g ica C li’ ~~~ e
f e e l i n g s and thougbt~~, o nfl d nce I n t h e h-ud:r , an ! cc nuln ;tentl y tp l lr ’d
izational policies , coc± i~a’d with non— conf ltct ing role rxpec ta ti cns and red uced
job pressure.
The sixth and final component had loadings for onl y three composites. ThIs
componen t , “Job Standards ,” reflected th c degree to which the job was seen as
having rigid standards of quality and accuracy , combined with Inadequate time ,
manpower , t ra ining , and resources to complete the task. Also reflected were a
perceived lack of confIdence and trust by supervisors and manage m ent per sonne l .
Scores for the six components (M 50 , SD = 10) were computed by a direct
solution method (Harcian , 1967 ) .
Comparison of~psvchological climate dimensions across samp les. Psycholog—
ical ,clitnate components from the Navy sample were compared to components derived
from the other two samples (James, Hartman , Stebbins, & Jones, in press; Jones
& James, Note 5). Each comparison sample also yielded six components with eigen—
values > 1.0 (62.8% of trace for firemen , 66.8% for health managers). As m di—I
cated in Table 4, five of the six components——Leadership Facilitation and Support;
Workgroup Cooperation , Friendliness, and Warmth ; Conflict and Ambiguity; Prof es—
sional and Organizational Esprit ; and Job Challenge , Importance , and Variety——
vere similar across the three samples.2
L.
Insert Table 4 about here
The sixth component tended to be somewhat less generalizable. For health
V asnagers, this component appeared to represent a finer breakdown of the Challenge ,
Impor tance, and Variety Component, with loadings by Job Importance (.70), Job
Challenge (.58) , and Job Standards (.40). 8oth latter variables, however, also
ha? loadings ) ~±.40~ on components similar to the five mentioned previously for
$- —m
~~_-- ~~
---~ ~~~~~~~~~~~~~~~~ ~~~,t_ ,._ ~ ~~~~~
-~-—-~~~.-~~
— -- — -~~
P sy~ !to l o g I c a 1 C1~~-~~t~
the Navy s a m p l e . The s i x t h cc~ p o n e n t f o r t h ~ f 1r e r ~~n a p p e . lr e u to r e f ic-ct r ’ ’u a
trust , with loadings by Confide nce and Trust In Suh ord1rat ~ s ( . ~~8) and In th~•
Leader (.50).
Ag~re~ at i o n of p s v ch o l o~ i c a l c l i m a t e s c o r es . As d i scussed e a r l i e r , the- use
of aggregated (I.e., mean) p s y ch o l o 7 i c al c l i m at e scores to d e s c r i b e o rgan iza -
tional and/or subunit climates required an emp irical demonstration that various
criteria were met. Suggested analyses included the demonstration of differences
in perceptions across different situations , an assessmen t of the reliability of
the aggregated score , and a demonstration of the construct validity of the aggre—
gated score. In the present stud y, these analyses were conducted for each of
the six psychological climate components. A subset of the Navy sample was used
and aggregated scores were constructed for 223 divisions , 97 departments , and
20 ships (3 ,693 Individuals). Only divisions with psychological climate data
for six or more persons were included in these and subsequent analyses.
Between group differences in perception were assessed by means of separate1
one—way ANOVAs computed for each climate component , where each division repre-
sented a treatment cell and individual scores on the component were the dependent
variable. Similar analyses were run for departments and ships. All resulting
! ratios were significant.
-‘ ~~~‘-~ As described In Ebel (1951), the ANOVA results were converted to intraclass
correlation coefficients as estimates of statistical power and interrater reli—
ability (McNeniar , 1969). These values were relativ ly low, however. Median
intraclass correlations were approximately .12 for divisions, .06 for departments,
P and .02 for ships . Only the values for divisions were within the range of power
estimates reported in earlier studies . The reliability of each aggregated (mean)
sco -e was then w~asured by applying Spearman—Brown (S. B.) estimates to the intra—
class correlation, where the harmonic mean for the appropriate organizational
— - - . ~~ — -‘.-~~~-.~~~~~ --
Psy c1olo ,~ica1 C] imat’-
level (e.g., division) ~a s u - ed as the a d j u s t i ng f a c t o r ( G u i l f o r d , 195 4 ) . The
resulting estimates wore cono~~crably higher , with medians of approxim ately .68
for divisions and .71 f o r d e p a r t n r n t s and s h ip s .
The S. B. estimates Indicated stability for the aggregated scores , but
appeared to be somewhat fallible indicators of perceptual agreeme nt where larger
sample sizes were involved (e.g., departments and ships). This conclusion was
further supported when d e p a r t m e n t context and s t r uc t u r e measures were compared
with division context and structure scores (see Table 5). Department scores were
added to the appropriate division data records (i.e., all divisions within a
department received the same department score) and correlated with division
scores (n — 205 divisions). Except for size and the two configuration variables ,
relationships were low or nonsignificant, indicating considerable Intradepartment
heterogeneity for context and structure measures. In other words , the majority
of department context and structure scores did not appear to meaningful ly
describe their respective divisions. Such results coincided with the information
provided by the intraclass correlations (rather than the S. B. estimates) that
departments (and ships) consisted of relativel y heterogeneous subunits.
Insert Tables 5 and 6 about here
The meaning of the aggregated score was further addressed by exploring rela-
tionships of psychological and subunit climate scor~s with various situational ,
individua l, and position variables . Based on the results described above and
p because divisions were the most homogeneous subunits in term s of technology ,
function, personnel composition , etc., the remainder of the study focused on the
division as the most meaningful organizational subunit. Thus, the division was
P the highcst level of organizational subunit used in the remaining anal yses and
-—~~~~~~~~ —“~~~~~~~ — . —~~~ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
P s y r h o l n ;~~ca ] Cl f r a t r
psychologica l clima t ’ scores ~ ‘r e ac~g r e n a t e d o n l y to t he d i v i s i o n l e v e l .
Corre1a~ es of rnv~~~~~~i cal c lI- ~’ate . Correlations with psychological cli-
mate were based on a sanpie of 3,726 sailors for whom all data were available.
No differences were found bet~-een the total sample and this reduced samp le in
terms of psychological clim ate , indiv idual resource , or position variable scores.
Each man In a particular division was assigned that division ’s context and struc-
ture scores and these scores were correlated with his Individual scores (see
Table 6). In the Interests of brevity, only significant correlations were
reported (complete analyses are available from the authors).
Relationships between psychological climate and division context and struc—
ture scores were low and generally nonsignificant. Only the Workgroup Coopera-
tion, Friendliness , and Warmth component showed any consistent pattern of rela-
tionship with these measures and then only in terms of low correlations with size—
related variables (e.g., size, span of control , number of levels). The pattern
of relationships between psychologl’al climate and individual resource and posi—
Ption variables was somewhat stronger, although corielations were again low except
for the Job Challenge, Importance , and Variety me.-~sure. This component was posi-
tively related to age, time in the Navy, hierarchical level, number of men super—p
vised , number of other training schools, and self—esteem , bvt was negatively
related to assignment to unskilled jobs. Such corr dations appeared to reflect
an increased responsibility and challenge associated with promotion. Individual
resources and position variables were also related to Workgroup Cooperation,
Priendliness, and Warmth and to Professional and Organizational Esprit. Higher
scores on the latter component were generally found for the older, less educated
sailors in the relatively unskilled jobs.
The major interest of the present study was identify ing relationships with
p psychological and division climate. Some knowledge of relationships among the
- - —--——- -
~~ . ~~~~~~ - -r~~~ ~~~~~~~— _ ---— — - -
Psycliol cigi cal Cl i r a te
_i I
v a r i ous n o n c l i m a t e d o m a i n s wa s e s s e n t i a l to f u l l y i n t erpr- t these flnd ir ; ;s , how-
ever. In t h e i n t e r e s t s of b r e v i t y , such n o n c l i n a t e I n t e r r e l a t i o ns h i p s are pre-
sented In summary only. In general terms: (a) relationships among div ision
context variables were generally low or nonsignif icant; (b) correlations among
anatomical structure measures were generally significant b u t m o d e r a t e , opera-
tional structure measures represented uncorrelated components , and relationships
between anatomical and operatfonal structure me’sures were general l y low and
nonsignificant; (c) with the exception of the four job—type measures , relation-
ships among the position variables were significant and greater than ~±.40!; (d)
relationships among individual resource measures were low but significant; (e)
relationships between division context and structure measures tended to be low,
although nonroutlne technology and higher rated personnel resources were assocI-
ated with smaller division sizes and low role formalization; (f) relationships
between position variables and Individual resource measures were low to moderate ,
where significant relationships among tenure, number of men supervised , hierar-
chical level , and training reflected general patterns of promotion In the mili-
tary; and (g) relationships of division context and structur~ with position var—
tables and individual resource measures tended to be low or nonsignificant,
al though d ivisions with higher levels of technology tended to have more
intelligent men in more highly trained job specialties.
p Correlates of division climate. In order to study the correlates of divi-
sion climate, a typology of division climate was de~eloped and the resulting
climate types were correlat ed with the nonclisiate variable domains . The division
P climate typology was obtained by clustering divisions with similar profiles on
the six division climate scores . The profile analysis was simplified , however ,
because the divisions represented certain existing (formal) types based on homo-.
ge-ieity of functio n or task. Twelve types were represented (e.g., Navigation ,
I~ _- —~~-~ ~~~~~~~~~~~~~ - - -~~------ — —,-—-...-.-—-- —~~~~~—-~.--—_______________
- -
Psycholog ical Clima te
32
Deck Maintena nce , Electror. Ics , Communication , etc.) and divisions within each
type tended to have similar climate profiles (e.g., the climate profiles for all
Deck Maintenance divIs~ens across the 20 ships were similar). Furthermore , the
vectors of mea n division climate scores , were visibly similar for some of the
12 functional types. Thus, it appeared that the functional types might be
further collapsed on the basis of similarities In climate score profiles.
Both an a priori grouping and a hierarchical clustering of the 12 functional
types (Ward & Hook , 1963) suggested seven meaningful climate clusters (a separate
hierarchical clustering of the 223 separate divisions corroborated this conclu—
sion) . Finally , a multiple discriminant analysis (MDA) was conducted with the
seven clusters as partitioning variables and the division climate scores (n =
223) as dependent variables. The MDA results supported the division climate
typology and demonstrated that 78% of the variance in the discriminant space was
attributable to between group differences , based on significant discriminant
functions and the multivariate analog of w2 (Ta tsuoka , 1970). An average of 727.
of the climate score variance was included in the discriminant space.3 Thus,
the seven division climate types appeared to provide a meaningful basis for the
remaining analyses addressing division climate.p
Each of the seven division clusters was described and named on the basis
of differences between the climate mean of that division cluster and the grand
maans for all divisions (see Table 7). For example, Cluster I was named “Coop-
erative and Friendly” because of comparatively high scores on Workgroup Cooper-
ation , Friendliness, and Warmth. This cluster consisted of divisions concerned
with navigation , antisubmarine warfare , and gunne ry duties. Cluster 2, labelled
“Conflicting and Ambiguous” because of a comparatively higher mean on Conflict
and Ambiguity and a low mean score on Job Standards, was comprised of divisions
concerned with missiles, nuclear weapons, fire control for the weapons system ,
Psychological Cli mate
and divisions concerned with maintenance and repair of t ’r c sh i p ’s electrical ,
air conditioning, and life support systems . The means for Cluster 3 (Communica-
tions and Intelli gence Divisions) suggested an uninvolving atmosphere which had
relatively high , rigidly adhered to job standards. This cluster was Interpreted
as an “Alienating and Constrictive” division climate. Cluster 6 (Boilers and
Main Propulsion Divisions) had a lower mean on the workgroup climate component ,
connoting an “Uncooperative and Unfriendly ” climate. Comparatively lower means
on Job Chall enge, Importance , and Variety, Leadership Facilitation and Support ,
and Workgroup Cooperation , Friendliness , and Warmth suggested that Cluster 5
~Deck Maintenance) describ ed a “Monotonous, Cold , and Unsupportive” climate.
Insert Table 7 about here
Cluster 6 reflected jobs that were challenging, important , multifaceted ,
and flexible, in conjunction with a cooperative, friendly, and warm workgroup
atmosphere. Such a profile suggested an enriched and warm work environment.
A low mean on organizational esprit, however , indicated that these divisions
(primarily concerned with sophisticated electronics) did not provide opportun-
ities that compared favorably with other organizations, especially civilian occu—
pations. This cluster was therefore labelled “Enriched and Warm Work Environment!
Organizationally Uninvolving.” In contrast, Cluster 7 (Supply Division) sug—p
gested a climate that was “Organizationally Involviflg” with high esprit and iden-
tification with the Navy and the ship, connoting a climate that compared favor—
ably with alternatives. As discussed later, however, both Clusters 6 and 7
appeared to be influenced by the nature of their personnel and may thus be
somewhat idiosyncratic .
• Relationships between division climate and other variable domains were exam—
— -~~
-—~~~
-.~~-— — -
~-~~
__ _.: - . • —— —— —- —
~~~~~~~---
Psycholo~;1ca l Clim ate
m e d by means of an MDA. The seven division clim ate clusters provid e! t~~e ;~~r—
titloning variables , and divi~~ion con tex t , structure , and aggr ega t d ~~sit1’n
variables and individual resource scores served as depen dent variab~~- s. Indivi-
dual resource and position variables were aggregated only if the resu~ tin~ scor es
appeared meaning ful at the division level of analysis. Such aggregated var iables
were viewed as situational attributes representing the personnel composition of
the division. Finally, whenever variab1 es evidenced substantial conceptual ano
statistical overlap (e.g., age and tenure), only one was included .
The resulting MDA produced four significan t discritninant functions (2~
< .05 ,
Bartlett ’s V statistic). The first function accounted for 56.09% of the between
cluster vari anc e, the second 21.61%, the third 11.47%, and the fourth 5.077..
The multivarlate analog of u2 for the four functions was .91. (Separate MDAs
for each of the nonclimate domains provided w2s of .38 for division context , .67
for division structure , .62 for aggregated position variables, and .55 for
aggregated individua l resources.)
The first function discriminated most clearly between Clusters I and 6 and
Clusters 4 and 5. Enriched and Warm Work Environment/Organizationally Uninvolv—
jug climates and, to a lesser extent, Cooperative and Friendly climates had a
~~re intelligent and highly trained personnel composition than the Monotonous,
Cold , and Unsupportive , and to some extent, Uncooperative and Unfriendly climates.
In addition , the latter two climates were more specialized (i.e., more jobs per
division) than the enriched and warm climates, but less specialized than the
Cooperative and Friendly climates. These results were consistent with the char—
p acteristics of t’ie divisions comprising the climate clusters; for example, Elec-
tronics and Navigation Divisions required advanced, technical training, while
Dsc’~ Maintenance , Boilers , and Machinery Divisions did not require the same
cotbination of technical training and personnel intelligence.
Psycholog ical C lim ate
3 -~
The second d i sc r i m f n ~ nt function m o st clearl y identified the Org ani zation—
ally Involving climate cluster. A defining variable for this function was tenure ,
partly reflecting the somewhat Idiosyncratic nature of the cluster. The divi-
sions comprising this cluster (Supply) contained several foreign—born individuals
who had enlisted in the Navy as stewards because such assignment was seen as
preferable to organizations and careers available In their own country . Thus,
an above average percentage of these Individuals had reenlisted . Supply Divi-
sions were also the most structurally specialized of the divisions studied , pro-
viding a variety of personnel services (ship’s store , food service , barber ,
P laundry , etc.),
The third discriminant function differentiated most distinctly between the
Uncooperative and Unfriendly and the Monotonous , Cold , and Unsupportive climates.
The latter (I.e., Deck Maintenance Divisions) had comparatively flatter division
configurations , larger spans of control , less formalization of roles, and better
work equipment than the former. Moreover, Deck Maintenance Divisions had the
lowest average tenure and training of all divisions studied.
The last discriminant function indicated that a Conflicting and Ambiguous
division climate (e.g., Missile and Nuclear Weapons Divisions), and to a lesser
extent an Enriched ~“~d Warm Work Environwent/Organizationally Uninvolving climate ,
bad comparatively higher degrees of interdependence with other divisions, more
nonroutine and complex technologies, higher ratings of personnel, and more formal
education, tower overall standardization of proced~res and a higher emphasis
on morale were also indicated. These latter variables, however, had
nonsignifican t univar iate V ratios and thus were interpreted with caution.
In su~~ary, the psychological climate measures had generally low relation—
ships with variables reflecting division context and structure as well as m di—
p vidual resources and position , although many of these variables differentiated
Psycholog ical Clima te
among the d ivision clImat e clusters. This contrast in results reflected both
theoretical and statistical factors discussed later.
Prediction of division c’-iteria. Divi sion per f orm ance r a t i n gs evi d ence d
a moderate positive leniency (range = 3 to 9, M 6.34 to 7.41 , SD = 1.10 to
1.60). Also indicated were few requests for transfer and infrequent problems
with drugs and alcohol. Except for the safety rating , criterion intercorrela—
tions were significant , positive , and of moderate magnitude (see Table 8). While
not indicating large amounts of “halo,” the correlations did suggest the possi-
bility of a more parsimonious composite criterion. Thus, a unit—weighted crite—
non composite excluding safety (ci = .94) was constructed for subsequent validity
analyses.
For cross—validation purposes, the 160 divisions with criterion data were
p randomly separated into two subsamples (after stratification by ship type and
number of divisions with data); all divisions from a ship were placed in the same
subsample. This provided “true” cross—validation samples (ns 84 and 76) where
the two subsamples were independent (i.e., from different ships).
Initial predictive validities for each subsample are reported in Table 9.
Predictors included all the division context, structure, and aggregated position
and individual resource variables employed in the MDA for division climate.1’
Validities for these variables were calculated as product—moment correlations.
A somewhat more complex procedure was needed to calculate the validities for the
seven division climate clusters. The validity coefficient for the climate clus-
ters was based on a unit—we ighted regression procedure (cf. Wainer, 1976; Wainer
1 Thissen, 1976) whereby a correlation was computed between a unit—weighted corn-p
posite of the division climate clusters (represented by dummy variables) and the
criterion. The formula f or the procedure was presented by Cui]ford and Fruchter
(1973) and James and Elltson (1973). It is important to note that the initialp
~~~~~~- ,-_---~~
.-- -- ~~~~~~ -. - - -- --—
Psycholog ic~il Cl im at e
3/
and cross—validities were identical because of the use of unit— ’-’eights and t he
inclusion of all climate clusters when calculating the val idities.
Insert Tables 8, 9, and 10 about here
The cross—validities for the nonclitnate domains are reported in Table 10.
These cross—validities were calculated as follows. Only variables In each domain
which had significant initial validities in the other sam ple were included in
these analyses. Predictors were standardized , combined into a unit—weighted
• composite, then correlated with the criterion. For example, the cross—validity
for division context for Sample B was based on Emphasis on Mcrale , condition of
equipment, ra ting of personnel , and availability of funds and supplies for work
needs, all of which had significant initial validities in Sample A. The overall
cross—validity reported in Table 10 was based on all variables used to compute
the cross—validities for the reported subsample.
The cross—valid ities (also predictive validities) were, with one exception ,
significant and at least moderate in magnitude . Among the nonclimate domains ,
the variables of greatest interest were those with significant predictive valid—
ities for both subsamples. For example, the context variables with significant
validities for both samples were the rating of personnel and the availability
of funds and supplies for work. In terms of personnel composition , all the aggre-
gated individual resource and position variables exeept tenure contributed to
prediction in both samples. The relationship between the climate clusters and
the criterion was assessed in terms of the mean criterion scores for each climate
cluster . The Enriched and Warm Work Environment/Organizationally Uninvolving
and Cooperative and Friendl y climates received the highest criterion scores,
while the Monotonous, Cold, and Unsupportive climate received the lowest.
-a____________________________ - -
~~‘- p p .crfl ~~~~~~~ .._ P _ - — — -~~~~~ — - ~ - - - —- —- — -—
Psycholog ical C limit e
Discussion
The discussion of results is presented in terms of four basic issues: (a)
the development of a measure of psychological climate , (b) the construct valid-
ity of the psychological climate measure , (c) the use of aggregated psychological
climate scores to describe subunit and organizational climates , and (d) the con-
struct validity of subunit climate measures. When interpreting the findings of
the present study , however, certain idiosyncracies of the U. S. Navy sample
should be noted . For example , decisions regarding personnel selection , training,
assignment, promotion , pay, and so forth tended to be outside the immediate juris—
diction of the ship. Enlistment contracts were for designated terms, with high
turnover after the first enlistment. Further , although the data demonstrated
variance in many aspects of context: and structure, ships have rela tively for mal ,
mechanistic structures compared to many other organizations; many context and
Structure characteristics are determined by levels of command above the ships.
Such factors might dampen relationships among structure , context, individual
resources , position variables , and subunit and psychological climate, thus
reducing generalizability of results.
Development of a psychological climate measure. In regard to the psycho].og—
ical climate measure , findings were strengthened by the use of multiple , diver—
gent samples (i.e., military/civilian , managerial/nonmanagerla l , large/small
•ubunits). For example , assumptions that psychological climate represented
multid imensional descriptions of the situation and that a common core of dimen—
•ions applied across organizations were supported by the similarity of components
across samples. Such similarity also argued for component stability and
generalizability .
The components themselves appeared psychologically meaning ful , were lacking
) in st att~ tical complexity, and reflected distinctions among various organiza—
•
—- ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ~~~~~~~~~~~~~~~~~~~~~ -.-.~~~.
——- --—-- - ________
Psych olr~~ical Cli m at e
tional levels of explamat ion. One component described task and role cha r a cter —
istics; a second reflecte’i workgroup aspects; a third described leadersh1~ char-
acteristics ; and two ccm~ onents generally reflected subunit and organizational
attributes. Such results suggested that work environment perceptions are not
en tirely global or diffuse but reflect organizational and conceptual-distinctions.
This interpretation was bolstered by other findings (Mowday, Porter , & Dubin ,
1974) that workgroup perceptions (and attitudes) differed from those about the
total organization. Conversely, components reflecting the total organization
also had load ings by variables describing leader and task or role characteristics.
Such findings were consistent with the hypothesis that characteristics at more
macro organizational levels were linked to individual experience in terms of
influences on more immediate aspects such as those of the task, role , and so
forth.
The psychological climate components generally reflected dimensions reported
in the literature. Workgroup Cooperation, Friendliness, and Warmth was similar
to dimensions labelled Team Spirit (Meyer, 1968), Distant vs. Close Working Rela-
tionships (Thornton , 1969), Intimacy (Friedlander 6 Margulis, 1969) , Social Rela-
tions (Pritchard & Karasick, 1973), and Friend ly—Unfriendly (Lawler et a].., 1974).p
Conflict and Ambiguity was reflected as conflict by Litwin and Stringer (1968),
Schneider and Bartlett (1968), and Pritchard and Karasick (1973), while ambiguity
was reflected (although negatively) by structure (Campbell et al., 1970; Litwin
& Stringer, 1968; Pritchard 6 Karasick, 1973; Schnefder & Bartlett, 1968) , Organ-
izationa l Clarity (Meyer , 1968), Normative Contro l (Payne & Pheysey, 1971), Effec—
tive Organizational Structure (Waters et al., 1974), and Efficiency and Clarity
of Purpose (Thornton, 1969). Similar comparability was evident for Job Challenge ,
Importance, and Variety and Professional and Organizational Esp r it .
p Leadership Facili tation and Support , however , was not as directly general—
— ~~r — ,- — - — ‘.- - _ _ _ _ _ _ _ _ _ _ _ _ _ _—
Psycho I r~~ I -a 1 Cl irn;i to
40
izable , although most studies incorporated one or more leadership d imensions.
For example , Schneider and Bartlett (1968) mentIoned Managerial Support , and
Car~pbe ll et a l. (1970) discussed Conside r a t i o n , Wa r m t h , and S u p p o r t . Wa te r s
et al. (1974) mentioned Close, Impersonal Supervision and Employee Centered Ori-
entation , whereas Friedlander and Margulis (1969) mentioned four separate leader—
ship factors——Aloofness , Production Emphasis, Trust , and Consideration . Closer
inspection 1 however , revealed that most of the factors from these other studies
were represented as a priori composites in the present study, indicating that
the Leadership Facilitation and Support component might reflect a more abstract
P variable representing relationships among a number of aspects of leadership.
In sum, the psychological climate instrument yielded components that ap-
peared to be: ~~~~~‘ conceptually meaningful , (b) internally consistent , (c) gen-
eralizable acr ss organizations and organizational levels , and (d) compatible
with the existing literature. Other indications of the construct validity of
the instrument were less clear , however.
Construct validity of the psychological climate measure. It was suggested
earlier that psychological climate represents an individual processing of situ-
ational data and thus reflects both the situation and the individual. The pres-
ent study, however, generally failed to identify significant relationships be-
tween psychological climate and subunit context and structure , although differ—
ences in pny cholo~,ical climate were found across divisions. A partial explana—
tion for such findings might lie in the “level of explanation” argument (cf.
Campbell et al. , 1970; Indik , 1 968; Payne & Pugh , 1976) that influences of con-
text and/or structure upon climate perceptions are mediated by organizational,
subunit , or group “processes” such as leadersh ip , communication, workgroup in-
teraction, and reward mechanisms. Thus, psychological climate should be more
highly related to process variables than to context or struc~’tre . in the pres—p
Psycho logical C I i va t~-
~$ I
ent study, altho ugh percepri~ ns of such processes were reflected by ma n y of t h e
a priori composites i n the questionnaire , psychological climate was viewed as
involving a psycholog ical processing, abstracting, and struct uring of these per—
ceptions and is thus somewhat removed from direct ties to context and structure.
Such reasoning suggested that the influences of subunit context and structure
upon psychological climate are indirect so that such relationships would not be
expected to be as large as relationships with more directl y linked variables
(note the fourth general hypothesis).
The sane reasoning suggested that position variables and individual re—
sources should be more highly related to psychological climate because different
positions are expected to have different organizational experiences and thus
different psychological climates. Moreover, it has been suggested that indivi—
dual resources influence entry into various positions (Herman , Dunham , & Hulin ,
1975; Newman, 1975). Such expectations received but limited support. For exam-
ple , Job Challenge, Importance, and Variety evidenced positive but moderate re—
lationships with correlates of hierarchical level (e.g., age, training, tenure ,
men supervised , and self—esteem) and reflected perhaps the responsibility and
challenge inherent in supervisory positions as well as the trend for men in more
technical jobs to be promoted more rapidly. Other correlations between psycho-
logical climate, position variables, and individual resources were considerably
lower and often nonsignificant ; however, although certain patterns were indicated .
For example, more technically trained, intelligent sailors tended to perceive
more cooperation, friendliness, and warmth in their workgroup, while at the same
time perceiving the Navy as not providing careers that compared favorably withI,
civilian orga nizations .
The suggestion that position variables accounted for more psychological
climate variance than individual resources (Herman et al., 1975; Newman, 1975)I,
— - - ~~~~~~~~~~~~~~~~~~ — ~~~~~~~~~~~~~~ ~~~~ .. -. . ~~~-- ~~~ —--~~ — — — -—-
l’s’i h ’i u , l e d C I j r : I a t c
was general: n e t sup :~: r t e d . ( e r r e l i r i o n s ‘ i t h p s y c h n l o~, i c a i ir ~~t c were sim i—
b r in p a t em and i~~~, - i d e f~~r ho t ii ~a t s 1 v a r i a b l e s . I is I i k c l v , heweve r ,
tha t such f m d i n~ s r e f l e e t ed c er t a in samp le c h a r i c t c r i s t i c s as w~- 1 I as t h e f a c t
that pos i t i on va r i ab l~~ r e p re s e n t m u t u a l i n f l u e n c es by situational and individual
characteristics. For e x a r p i & , p r o m o t i o n to a higher level requires a specified
time in pay grade and thus a minimum age. In a similar vein , selection for var-
ious types of training de7ended upon the attainment of certain test scores.
Finally, the sample included enl y enlisted personnel , thus limiting the variance
on some variables , espec .allv those related to position.
In sum , ind icatiens of the construct validity of the psycholog ical climate
measure were , at “~st , mixed . The similarity of components across samples and
the resemblance to cPmp -~nents reported by other studies supported assumptions
of validity, but the low magnitude of correlations with situational , individual ,
and positional measures remains troublesome . The patterns of significant corre-
lations were generally as hypothesized , but most were too low to produce clear
evidence of construct validity for the measure. While the level of explanation
concept provides a partial rationale for such findings , many questions remain
unanswered about the nature of the linkages between ind ividual perceptions as
represented by the psychological climate components and the relatively ,bjective
aspects of the situation reflected by the structural and context measures.
Aggregation of psychological climate scores. Indications of construct Va—
tidity for the aggregated climate scores were generally stronger than for the
individual scores in t erms of both the magnitude of correlations and the predic-
tive validities against division performance criteria. The level of explanation
argument again provided a possible rationale for such findings insofar as divi-
sion climate represented a situationa l attribute and was thus expected to be more
highly related to other situational measures (i.e., division context and struc—
_ _ _ _ _ _ _ _- - — — - - - —.---—-~~~~~ —- — ---- --—---
Ps v ( h I , l o~’ I I ~I de
P t u r e ) than was p s y c h o l o g i~ a l el i n i at e , w h i c h wa~ ind iv i d u a l I n n a t u r e . On the
other hand , t h e use o f aC~~re~ ated (mean) individual scores t e represen T d i v i s i e n
climate part ialled out variance due to individual differences In p e r c e p t i o n and
P raised questions of aggregation bias. Thus , justification of such aggregation
was of major importance.
Both the aggregation of psychological climate to the division level and the
decision to limit aggregation to that level were based on several factors , in—
cluding: (a) the apparent predictive and construct validity of the division
climate scores, (b) the apparent inappropriateness of higher levels of exp lana-
tion for interpreting aggregated psycholog ical climate scores , Cc) the low in—
dices of perceptual agreement for departments and ships, and (d) the lack of
representativeness for many of the department context and structure variables.
With respect to perceptual agreement, estimates of variance attributable to or-
ganizational units (e.g., intraclass correlations) appeared to be more meaning-
ful than Spearman—Brown estimates adjusted for the average number of raters per
organizational unit . The Spearman—Brown estimates for departments and ships were
substant ial in spite of findings of heterogeneous division context , structure ,
personnel compositions , and climates. Thus, while the Speamman-Brown formula- P
indicated the reliability of the mean score, it appeared misleading when used
— as an estimate of perceptual or situational homogeneity.
Construct validity of subunit climate measures. An important index of theP
validity of the division climate scores was the pattern of relationships of the
seven division climate clusters with both the potential correlates and with the
division performance criteria. In terms of such relationships, Monotonous , Cold ,P
and Unsupportive climates were associated with large spans of control and large
division sizes, low interdependen ce with other divisions , relatively routine and
noncomplex technologies, and lower average in tell igence , education , training,
—~.--~~~-- -~~~~ — - - -
—- ____
Psy cho I ogi cal C l i r n a t e
46
and t tni r e . Furth& rmc re , the d i v i s i on i n t h i s c lu s t e r ( e . g . , De ck M i i n t e n a n c e )
had t h e lowest o v e ra l l r a t i n g s on t h e c r i t e r i a . S i m i l a r l y , U n c o o p e r a t i v e and
Unfr iendly cljma tts (e..~., Boiler Divisions ) were relate d to comparativel y large
spans of con t ro l , t a l l c o n f i g u r a t i o n s , low i n t e r d e p e n d e n c e , and low average ten-
ure , education , and training. Criterion ratings also tended to be below average .
In contrast , Enriched and Warn Work Environment/Organizationa lly Uninvolving
climates (Electronics Divisions) tended to have comparativel y nonroutine , complex
technologies, flat configurations , low specialization , small division sizes , and
high average intelligence , education , and training (but not tenure). Cooperative
and Friendly climates (e.g., Navigation Divisions) had the lowest average span
of control of all climates studied and were further characterized by high
averages on intelligence and training as well as above average criterion ratings.
P - Such results at least partially supported the hypothesis that comparatively
large subunit siz~~~and~ tall configurations were related to uncooperative and
unfriendly workgroup interrelationships (Payne & Mansfield , 1973; Porter & Lawler,
1965) , unsupportive leadership , communication difficulties (Payne & Pheysey ,
1971) , reduced group involvement , and less harmonious interpersonal relationships
(Pheysey , Payne, & Pugh, 1971). Also supported were hypotheses that the above
forms of anatomical structure , when combined with routine technology and special-
ization (also related to size and tall configuration), were associated with low
task complexity, variety, challenge , and importance (Hackinan & Lawler, 197 1 ;P
Hackman & Oldham, 1975; Woodward , 1965), monotony (Blood & Hulin, 1967; Hulin
& Blood , 1968); and reduced autonomy (Forehand & Gilmer, 1964). Finally, cli-
mates related to higher levels of anatomical structure (i.e., large size , tallP
configuration, and high specialization), and, to a lesser extent routine technol-
ogy , tended to be associated with low subunit criterion scores , whereas the oppo-
site wa s true for climate s reflectin g low levels of anatomical structure and
- — — — -~~~ - fl — - - - ~~~~~~~ - ______ - —
P s y c h l~~~ i i a l C l f l i t
4r )
nonroutIn~ technolo~;v.
Of further interest were findings that small spans of control , often link ed
to mechanistic structures , were associated with warn and enriched climates ,
whereas large spans of control , often linked to organic structures , were associ-
ated with cold and monotonous climates . Such findings reflected the nature of
the divisions comprising the above climates . For example , divisions with warm
and enriched climates tended to be more technologicall y advanced , smaller , and
comprised of individuals at higher pay grades. These results appeared to support
suggestions that appropriate spans of control depend upon such factors as tech-
nology, job, and personnel characteristics and that no one span of contro l is
ideal for all situations (cf. House & Miner, 1969).
With respect to the rd~maining climate clusters , Conflicting and Ambiguous
climates (e.g., Missiles, Nuclear Weapons) were characterized by comparatively
high interdependenc ies with other divisions and by nonroutine , complex technol-
ogies. A partial explanation of these results was provided by Corwin (1969) who
noted that increased interdependencies and interactions among organizational
units increased the nrobability for organizational conflict , and by House (1971)
who hypothesized that nonroutine jobs tended to be inherently ambiguous. On the
other hand , Conflicting and Ambiguous climates were not associated with such
measures as low role formalization, decentralized decision making, and low stan-
dardization , as suggested by Hickson (1966), House (1971), House and Rizzo
(1972a), and Pheysey et al. (1971). In fact , a high level of standardization
was indicated for these divisions .
Alienating and Constrictive climates (e.g., Communications and Intelligence
Divisions ) were most closely related to personnel compositions with high average
scores on intelligence and training, although small division size and low special—
ization were also indicated . In contrast , the Organizationally Involving cli—
- - — —~ - — —~~~-.
~~~~~_ . . — .-
Psyeli ’ I ~‘gic~ ( - - -~
mates (Supp ly D i v i s i e n s ) cctis stud of personnel with longer avera;y~ t c n n r t b u t
below average traini t .: n~ i n t e l l i g en c e . Large d i v i s i o n s i ze s , h i gh s p € — t ~~l i z a —
tion , high role ~orra liia: ion , routine technolog ies , and below wi-rage criterion
scores were also indicated . These results , when combined with those for the
Enriched and Warm Work Erivirontnent/Organlzatlonally Uninvolving climate cluster ,
indicated that involving climates were positively related to routine technologies
and high levels of anatomical structure , whereas uninvolving climates were re-
lated to nonroutine technologies and low levels of anatomical structure. Certain
aspects of personnel composition are important in interpreting these findings ,
however. That is, uninvolving climates failed to provide relatively intelligent
and trained individuals with careers that compared favorably to civilian occupa—
tions, while the opposite appeared to be the case for involving climates (which,
as noted earlier, included several foreign-born individuals for whom the Navy
provided a comparatively advantageous career). Such points further emphasized
the need to consider personnel compositions when interpreting relationships
among measures of subunit climate, context , and structure (Payne & Pugh, 1976) .
In Summary , it appeared that the division climate clusters (and thus the
division climate measures) were related to both situational and personnel char—
acteristics in predictable and meaningful ways. Except for the measures of oper-
ational structure , relationships were generally as hypothesized . Moreover , the
5— to 7—month predictive validities against div ision performance measires were
quite encouraging given the low magnitude of such relationships normally reported
in the literature . Such findings appeared to argue for the construct validity
of aggregated psychological climate scores used to describe subunit climate when
the subunits are relatively homogeneous.
Implications. The present study had a number of implications for future
research involving psychological and/or subunit climate. Among these was the
4 . . - -_--- -~~~~~~~~~— -- - -.- - - .-—-
l’sy i ho lo~ I en C l i r’~;J
A 7
find I n~ of a common t . ~: I t : n . i ons t h a t c h a r a c t e r I z u l m d iv i no 1 ~~~~~~~ i o n n
(psychological clir.a t ..-~ i - russ diverse s i t u a t i o n s . S u c h r e s u l ts i m p l i e d t h a t
a parsimonious set of di ensions may desc ribe diff erent situations , although
additional , more specific dimensions might be needed to describe certain idio—
syncracies of each situation . Also important was the finding that the use of
aggregated psychological climate scores or profiles of aggregated scores to de—
scribe situational influences was appropr iate only for relativel y homogeneous
subunits and that these tended to be at lower levels of the organization. In
a related vein , it appeared tha t the functiona l type of division was a more im—
portant facet of its climate than~~as the superordinate organization . In other
words, cliniates in similar div isions from different ships were more alike than
were climates in disparate divisions from the same ship. Similar results were
found for context and operational structure. Such findings have numerous m ph-
cations for future organizationa l research and development programs , suggesting
that attention should be focused on relatively homogeneous units rather than
larger subunits and total organizations .
One of the most important findings of this study was that division climate
appeared to provide a meaningful linkage between situational attributes such as
context and structure and subunit criteria. That is, division climate reflected
situational differences that appeared to portray how such measures were opera—
tionalized into situational influences on subunit performance. Regarding psy—
chological clima te, on the other hand , division context and structure appeared
to be several steps removed from individual perceptions and perhaps mediated by
intervening variables such as processes and division climate. Moreover , psycho—p
logical climate appeared to reflect complex relationships among positional and
individual characteristics as well as situational measures. The present study
addressed a number of these relationships, with only partial success. Future
- ~~~~~~~~~~~~~~~~~~~~~~~ ~~~~~~~~~~~~~~ ~‘.-~~~~— - ‘ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
P sv lu 1 o~~i c a l C l i n a t e
48
resea rch is need ed ~~~~- mor e adequately id en t if y sal ieut m di’; idual and ~o si t ion
variables and th i r r los I the format ion of psychologic al cli rate . Such stu-
dies will li kely ben -f it from the inclusion of objectively menu ured process var-
iables to explore relation shi ps with psychological , subunit , and o r g a n i z a t i o n a l
climate.
The present study must be viewed as a preliminary step, awai ting additional
investigations with other types of organizations to extablish the generalizabil—
ity of results and the further incorporation of longitudinal designs to provide
a basis for causal interpretation. This study, however , suggested several ap—
p parently fruitful areas for future research regarding conceptual properties of
subunit and psychological climate .
p
p
p
- p
•1___________ -
- ~~~~~~~~~ Z ~~~~~~~~~~~~~~~~~~~~~~~~~~~ -
Psycholog ical Cli m ate
4 b
Reference Notes
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P Fort Worth, TX.: Texas Christian University, Institute of Behavioral
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Research , 1975.
3. Jones, A. P., & James , L. R. Dimensions of psychological climate among
firemen (Technical Report No. 75—9). Fort Worth , TX.: Texas Christian
University, Institute of Behavioral Research, 1975.
PS
l’sych c-l o’, ’, i c . t l C l i - - - t i
(~)
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____________________________________ - ~~~~~~~~~~~~~~~ ~~~~~~~~~~~~~ ~~_~~~~~_ __
-‘ - -— ~ — -
Psychological Cu rate
58
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— ~~~~~~~~~~~~~~~~~~~~ -w r~~~~~~~— ~~~~~~~
—
Psychological Climate
59
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-
•
.
_ _- ~~~~~~~~~~ ~~~~~~~~~~~~ -..~~~ .
- ~~~~~~~~~~~~~~~~~~~~~ - —~~~~~ ~~- . - - -
Psycholog ical Climate
60
Footnotes
- Support for this project was provided under Office of Naval Research Con-
tracts N00014—72—A—0179—000l , and N00014—76-C—0008, Office of Naval Research
Project RR 042—08— 01—NRI 7O—743 , and by the Bureau of Medicine and Surgery, Depart-
~~nt of the Navy , under Research Work Unit 51 524 002—5OISDXSF. Opinions
expressed are those of the authors and are not to be construed as necessarily
reflecting the official view or endorsement of the Depart ment of the Navy .
Senior authorship was assigned randomly because thought , work , and writing
responsibility were equally divided .
The authors wish to thank Clifford Abe , Mark C. Butler , Bill Curtis , Robert
L. Ellison, E. K. Eric Gunderson , Joseph Schneider , and John W . Slocum , Jr. for
their helpful suggestions and advice.
Requests for reprints should be sent to Allan P. Jones, Naval Health
Research Center , San Diego , California 92152.
1Tvo points should be discussed regarding the uses of aggregate d scores.
Pirst is the form of aggregation. Most frequently used are mean perception
scores. As discussed by Payne et *1. (1976), the mean score appears to provide
$ legitimate situational descriptor as long as the perceptual referent is the
situation and not the individual. Second, aggregated and individual scores will
be functionally dependent on each other thus limiting the researcher’s ability
to simultaneously investigate psychological and subunit or organizational climate
(cf. Hannan , 1971). -
‘Sampling distributions are not available for coefficients of congruence ,
tlss significance tests could not be conducted. Mulaik (1972), however , pointedp
ut that ft is a ccmmon practice to accept two factors as equivalent if the index
of factor similarity is .90 or greater. On the other hand , this practice , or
subjective criterion, is generally employed only after a least squares approx i—
- — - — -
- ~~~~~
— ~~~~~~~~~~~~~~~~~~~~~~~~~ - .r~- . ’ -
~~--
~~~- - -
~ - -- -
Psychological Climate
61
mation (i.e., Procrustes rotation) of one factor pattern from the other. Other-
wise , the coefficients of congruence may undere stimate the actual degree of fac-
tor similarity. Due to recent questions regarding Procrustes rotations (Horn
6 Knapp, 1974; Katzenmeyer & Stemmer , 1975), such a procedure was not employed
in the present study . Rather , the component structures prov ided by the varimax
rotation s were compared . Although a point—estimate for equivalence could not
be provided , .90 appeared somewhat conservative.
2The multivariate analog of w2 provides an estimate of the proportion of
variance in the discriminant space attributable to group differences . It is
usually not , however , an index of redundancy or the proportion of variance in
the dependent variables attributable to group differences . Procedures for
assessing redundancy are unclear at the present time (cf. Nicevander & Wood , 1974 ,
1975). Thus, the proportion, .72, reflects the average amount of variance of
the dependent variables accounted for by the discriminant space, based on the
sum of the squared correlations between the dependent variables and the signifi-
cant discriminant functions divided by the number of variables (cf. Nicevander
6 Wood, 1975).5Tb. context scores , the operational structure scores, and the two global
ratings (reques ts for transfer and use of drugs and alcohol) were all provided
by the division head , thus experimental dependence may have contributed to the
predictiv e validities . However , the magnitude of the predictive validitie s for
t)i~ context—globa l rating criteria (same rater) were approximately equal to the
median pr edictive validit ies for the context—perfor mance rating criteria (differ-
met raters). A similar result was also found for operational structure. Thus,
p.r iou. relationships based on experi mental dependenc e were not indicated.
..
-~!~ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ~~~~~~ - I
• . Psychological Climate
~.., 62
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Psychological Climate
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- . Psychological Clinate
64Table 2
— Principal Co.poneuits for Iteas Reflecting Four Proposed Dlmensiona of Operational Structure
Couponent Loadings
1 2 3 4 5 6 7 h’Viriables —
Pornslizatics
1. Job responsibilities are defined .85 .75
2. ActivitIes specified In writing .24 .73
3. ~~ ha.is on written co~~mication .79 .72
4. Ma st follow chain of co and - .59 .58
~itaa4ardizati on
S. Procndurea for and fr.qvsncy of inspections .43 .42
• 6. Reporting performance .S7~ .37
7. Procedure, for discipline .4$ .42
S. Initiating .f maettngs and formal activities .74 .37
~~. ~~~enditure of funds .17 .79
10. Training personsel .59 .46
lacowdependenee
• 11. Depend on other units for r.sosrc.s .70 .31
11. Consider other units’ needs is prepari ng .70 .52
mart schedule -
13. .3.1st decision making bearing en act .70 -, .36
Centralization of Decision Making -p
$4. Ostarsins own budgetS .32 .40
• IS. Allocate mark .12 .74
1$. Determis. work scheduls • .20 .74
• 17. Mopt n.w- progren .r policy .67 •
.47-
1$, lit standards of port or..sca .70 .5)
• 1~. let overall goals .77 •‘1
IS. Mta is asking decisions . .66 .52
33. Deserains netted, for g.sls d acttvtti s .48 . U
34
- bii. Proportion .f trace ae~~est.d for • .56; only loadings ‘ ~t.40~ are reported~r p • 315 41,1st... and d.psrtmcet s.
‘ .l ~ •.~.v.. r.flect bitt c.etr. ttz att ea.-
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Psycho ]o~ ical C]i ri.ite
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Psychologica] Clir~att.
67
Table 5
Correlations Between Department and Division Context and Structure
Department/DivisionVar iables Correlations
Context
1. Emphasis on Morale .15*
2. Emphasis on Following Standardized Procedures .06
3. Technology .13
4. Funds for Habitability .03
5. Condition of -Equipment -.
6. Rating of Personnel .23*5
7. 7’unds and Supplies for Work ~~~~
Structure
8. Size of Department (Division) .62**
9. Specialization — Jobs/Department (Division) .11
10. Configuration — Span of Control ~~~~
11. Configuration — Number of Levels .645*
12. General Centralization .215*
13. General Standardization — .01
14. Interdependence •
. .14*
~~~~ Formalization of Roles •
.16k
16. Centralization of Work .07
~~~~~~~~~~ ~ • 205 divisions with both depart ment and division data.
< .05.
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Psycho]o~ ical CIITT151 t (-
Table 97 1
Predictive Validities for a Cornposite Division Criterion for Two Subsamp 1e~
Pr edictive Validi t ies
Sanp)e A Samp le B• Predictors — 76) (a — 84)
• Division Context
1. Y~pbasis on Morale .23k .02
2. F~phasis on Standard Procedures .07 .01
3. Technology .10 .05
4. Funds for Habitability —.02 — .13
S. Condit ion of Equipnent •37** .16
6. Rating of Personnel - .364* ~~~~
7. Funds and Supplies for Work .23* .364*
Division Structure
8. Size of Division — .23k — .22k
, Specialization — Jobs/Division —.10
- 10. Configuration — Span of Control .21 .11
11. ConfIguration — Number of Levels —.06 .11
12. General Centralization .05 — .06
13. General Standardization .10 — .09
14. Interdependence .12 .07
13. Poraali.zation of Role. .12 .08
16. Centralization of Work — .08 — .03
Division Climate
17. ClImate Clusters •~~~** •~~a*
Position Variables
18. Time in Wavy - •33** .10
1~. Vuabar of Advanced Training Schools .46~~ .52*4
• . 20. Wuaber of Other Training Schools and Courses .34” .25*
• Individual Resources . -
21. Tears of Formal Education •
.32*~ •35**
22. IntelLectual Aptitude •37** •33**
~~~~~ .01
— -~ . -- - - • ~~~~~~~~~~ —i- —
~-—-• .
P svc o l ’ - y ~ c. 1 C 1 i ”~~~t -
Table 10
Cross—Validities for a Composite Division Criterion
Based on Unit—Weighted Predictors
Cross—Validities
- - Sam ple A Samp le ~Predictor Domains 76) (n 84)
Division Ccntext .~ l** •43**
Division Structure .21 .22*
Climate Clusters .41** 39**
Position Variables •55**
Individual Resources •39**
Overall ~~~~ .55**
*~~~< .05.
**~~~< .01.
1
a
I
— —5,- - —I — - - f~ -~!4’~~~~~ - - - - - -~~~~- ~~~~~~~~~~~~~~ ~~~~~~~~~~~ ~~ -: - — - - - -
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-
Distribution List
Mandato ry
• Office of Naval Research (3 copiss) Library, Code 2029 (6 copies)(Code 452) U~ S. Naval Research Laboratory800 N. Quincy St. Washington, DC 20390Arlington , VA 22217
Science & Technology DivisionDirector Library of Congress~U . S. Naval Research Laboratory (6 copies) Washington , DC 20540Washing ton , DC 20390ATTN : Technical Information Division Mr. Frank Lucas
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Principal Inv atig*tors
Dr. Alvin J. Abren. Dr. Milton R. BloodNavy Personnel R 6 D Center School of Business
P San Diego, CA 92152 Ceorgia Institute of TechnologyAtlanta, GA 30332
Di.. C~ayton P. Ai.derferDept. of ~~ inistrative Sciences Dr. Davis B. BobrowTel. University University of Maryland
SW Raven, CT 06520 College Park, PU) 20742P
Dr. J .. A. My ton Dr. David G. Bower.Dept. of Psychology Institute for Social ResearchRovard University University of MichiganWashington, DC 20001 Ann Arbor , MI 48106
P Dr. Carl 8ennett Dr. Robyn N. bayeslattelle Ma~~ ria1 Institute Oregon Research Institute4000 N. 1. 41st St. 488 B. 11th Ave.Seattle, WA 98105 Eugene, OR 97403
Dr. B. ~ assel1 Barnard Dr. Barry R. DayDept. of Sociology 6 Anthropology University City Science CenterWont Virginia University Center for Social DevelopetentP~ r$mntonn, WV 26306 3508 Science Center
Philadelphia , PA 19104
-
~~~~~~
. . - ~~~~~~~~~~~~~~~~~~~ ~~~~~~~~~~~~~~~~~~ 4 _ _
~~ ~~~~~~~~~~~~~~~~~ -
-
Principal Investjg tor. (continued)
Dr. Dyne. Dr. Norman 3. JohnsonOhio State University Research Foundation School of Urban & Public Affairs1314 Ltnnear Road Carnegie—Mellon UniversityColumbus, OR 43212 Pittsburgh , PA 15213
Dr. Fred K. Fiedler Dr. David C. McClellandDepartment of Psychology McBer and CompanyUniversity of Washington 137 Newbury St.S attl., WA 98105 Boston , MA 02139
Dr. Al lan H. Fisher, Jr. Dr. Elliott M. McGinniesBay Associates Psychology Department1625 Eye St., N. V. Suits 1001 American UniversityWashington, DC 20006 Washington, DC 20016
Dr. Sanuel L. Gaertner Dr. Terence R. MitchellDepartment of Psychology School of Business AdministrationUniversity of Delaware University of Washington220 Wolf Hall Seattle, WA 98195Newark, DE 19711
Dr. Peter R. MongeDr. Paul S. Goodman Department of Speech—ComeunicationGraduate School of Industrial Administration California State UniversityCarneige—Meilon University, Schenley Park San Jose, CA 95192Pittsburgh, PA 15213
Dr. James A. MooreDr. Gloria L. Grace CAd , Inc.Syst Development Corporation 800 Garden St.2500 Colorado Ave. Santa Barbara , CA 93101Santa t~~nica , CA 90406
Dr. Stanley M. NealeyDr. Eric Cusd.rson Battelle Memorial InstituteNaval Health Research Center 4000 N. E. 41st St.San Diego, CA 92152 Seattle , WA 98105
Dr. Richard Hark~*n Dr. Herbert R. NorthrupD.psrtment of Administrative Sciences Industrial Research UnitTale University University of PennsylvaniaNew Haven, CT 06520 Philadelphia, PA 19174
Dr. Thomas V. Rarrell Dr. Benson F. PenickGraduate School of Business Carnegie—Mellon UniversityStanford University Margaret Morrison 410Stanford, CA 94305 Pittsburgh , PA 13213
PDr. Qtarlss F. Heraann Dr. Chester N. PierceOhio State University Research Fowidation Harvard University1314 Linn.sr Road Nichols HouseColumbus , OH 43212 Appian Way
Cambridge, MA 92138Dr. Charles L. BullnDepartment of Psychology Dr. Diane N. Ramsey-Lie.University of Illinois R-E Research & System DesignCh~~ aig~’i, IL 61820 3947 Ridgamont Dr.
Malibu , CA 90265
P
— - - — - - --
Frjncipal Inv.ati&ators (coot 1.nusd)
Dr Eariens B. Roberts Dr. Victor H, VroomSchool of Business Administration School of Organization & ManagementUniversity of California Yale UniversityBerkeley CA 94720 56 Hillhouas Ave.
New Haven , CT 06320Dr. )4osho F. tubinst.inUniversity of Californi a Dr. Paul Wall405 Rilgard Ave. Div. of Behavioral Science ResearchLos Angeles , CA 90024 Tuskegee Institute
Tuskegee, AL 36088Dr. John RubeUniversity of Nor th Carolina Dr. WilkenfeldDept. of Business A’4lnistration University of MarylandCharlotte, NC 28223 College Park, Ml) 20742
Dr. Rudolph J. ~~~~~ Dr. Philip C. ZimbardoPolitical Science Department Dept. of PsychologyUniversity of Hawaii Stanford UniversityHonolulu, HI 96822 Stanford , CA 94305
p Dr. Irvin Sarason _————— __ —__ Department of Psychology MISCELLANEOU SUniversity of WashingtonSeattle, WA 98195
Air ForceDr. Edgar H. SchsinSloan School of lanagemsnt AFOSR (NL)
1400 Wilson Blvd .Meseachuaetts Institute of TechnologyArlington, VA 22209cambridge, MA 02139
Dr. Saul B. 5.11.Texas Christian UniversityFort Worth , ~~ 76129 Army Research Institute (2 copies)
Comsonwealth Bldg.1300 Wilson Blvd.Dr. Siegfried Streu f art Rosslyn, VA 22209Department of Psychology
Purdue University~~~~~~~ II 47907 Coast Guardp
Dr. Richard I. s,t~ Chief , Psychological Research BranchMinnesota systems Research, i~~. U. S. Coast Guard (G—P- l/ 62)
.. —..P 2412 University Awe., S. 1. 400 7th St., S. V.((nasapolis, MR 55414 Washingtoz~ DC 20590
Marine CorpsDr. Lorand I. SealayA.srican Institutes for ResearchFoxhall Square Dr. A, L. Slaf kosky3301 Rev Mexico Ave. • i. w. Scientific AdvisorWashington, DC 20016 Coamandant of the Marine Corps
(Code RD—i)Dr. I. H. Vr..lam d III Washington, DC 20380W’~~~’ Sciences Research , Inc.Wee tsate Research Park7710 Old pringhov.. RoadMeLeen, ¶ A 22101
P
- ~~~~~~~~~~~~~~~~ ~ - -
—
~~~~~NEOUS (continu-~
J Chief of ~~~~ Per,on~~ Offtcer th ~~~~~ ‘Code L5)Are:~~~ r for R~’seareb Liaiaon c~~ r~’—0r)
~~~~~~~~~ ~ ;-‘-osp~c~ ~e~~ir~~ Research L~~W*~~~~~t’~’~ -r ’ , ~~ 20i~7O ~~~~~~ ‘~~‘?ace ~~c Center
?~~ - - - .ico1a , ? 32512B~iri~u of Naval Personnel (Pera—6)Assistan t thief of Naval Personnel for C~~ -
~c~ C. Sto~’-~ . U.~~.N.p Human Goals (Code N--33 )
Wasbi ug -~v , ~C 202’-O D~ recto-r , ~ducstirm & Training
~“t~earch ~ ~~~~~an Developnen tCdi. Paul D. ~~~~~~ !1tSC , U SN Chief ~-f ~ ‘i - - ci Educa~ - :-t & Training~.a~ ,Humar P,rfor~-~ --~-”- 2’viston (Cod e 44) StaffNa’vy M.dJ R & ~~ aad Naval Air .‘-stion , ~‘ensacola. FL 32~ -?8
~~~ 20014Dr. H. H, Wolff
‘~.dr. C. ~~~. Patlc!, ~~~. S. Technical 5~ -~~~t~:r (“oc~ N—2)
Director, ~~~~~~ Ck~a1a iept . N~’v~1 Tr~~.ning ~- -~ - ~~~•r~ C’~nt~~r
Code 1 ~, Ni~i —.al Training Center Or lando. ~ 2 ~? 813Orlando, ~T. 32813
p Humz~n Re~o’rce r age~ent Center2f~~.ce of M~~~-~-.~er MAnagew~~ t
~~ ~z~ aent Evaluat Ion ~‘-~rvh C- ; ~~~~~~ -~~~~or ~
- Activity
~~*r~ton, DC 20390 c/c ~~;C ~~‘i~ York, NY 09521~~~ Nelson
Ass~stant Officer in Chargep Navel Internal Relations Activity Chief , Naval Tec~~~-~~ . TrainitgPentagon 5 P5oos -~~~
‘-~~~. “As ~~- —- -“-~:.a (75~Washingto~~. DC 20350 M~~~~~~ing - r - r
~ , ~‘N 8128
Na val Postgraduate School OtherMonterey , CA 9394Q
p ATTN : Library ‘~o~e 2124) Division ~~r~ctor for Social Science
~~~~~~~~ Science Foundation~~of,~ r,r John Senger 1800 C St., N. W.
~~era’io- -.~ T~r~ earcb & Washingt ‘-- , DC 20550Adminiatrt ion Sciences
Naval Pos~~~~A-~,te ~~o—d Mr. Luigi -~et r-uilop Mouterrev, -
~~~~ 93960 2431 ‘- . &‘~ewood St.- ~~~t cn , VA 22207
T-~eIr-~ ng Officer —-- —- --- — _
~umAr2 R.esot~rce Management C C.- AdditionsNTC, C.~~ ~~~~~~~~~~ CA 92133 to Dt8tr ibut ion List
p Sa~~ Pe’~ onrte1. B ‘i D Center (5 copies) Cdr. Anthony C. Cajka, U. S. N.Cods 10 ~~
-: .~~~~~~~~~~~ ‘- -~~ of the Navy
Sv~ Diego , CA 92152 Human Resource Management CenterWashington, DC 20370
Officer in ~~~~~~~Naval Sub~isrl~e ‘~e~~ ca1 Research Lab Dr. C. Brooklyn Derr
p Navel Submar~ o Baa~’ New London , Bcx 900 Associate Professor, Code 55Groton , (T 06340 Naval Postgraduate School
Monterey, CA 93940
)
~~~~~~ ~—~
--~~~~ ~~ ~~~~ ~~--.-- .------ .~~~
-~~ —~~~~~~~~—-—------—-—— .---—— -- —
Ad.dit ions_ (cont1nue-’~)
Dr. Robert A. Zavecki Capt. Charles Baldwin, U. S. N.Assistant ~rc~~e-o- ~~ Behaviora l Bureau of Naval Personnel
Sc~.n’e, (Cr~’-” 6a2)
645Th W.shington , DC 2’~370• Jr -ed State. Air Force Acad emy
t7 8&!A. CC- 80.840 M~-~ Joe F~’l.t rmei.rNavy Personnel. R & D Center
Capt&th ~~. I.. Johnson, U.S.N. Code 30~Office of t e Chief of ~aval Operation. San Diego , CA 92152(OP—009T)Navy ~~~Prtmant ‘ ffice of Naval ReEce’-r-hWashington , DC -2350 ~C~de 200)
Ar1t-~~ton, V~ 22217burr -~u of N~vp7. Personnel~esssrch & Fvaiuatlon ~1-~ v’~~iou ARI ?lf ld Unit—Leaven-worthCode : “ers—65 P. 0. Box 3122
~~ 70371’ ForC Leavenworth, KS f~ -C27
~ men Resource M.an~s ii#nt Center, London Mr. Ric’crd T, Mowday- ~~y ~ sio Co’lng& of Business Administratfon
University of Nebraska , Lincolnp ~~~~~~~ ~~~~~~~~~~~~~~~~~~ !~~~~~~~ -‘~~~~!~ t L~~ ’.o1i , ~Center, WashingtonWashington , DC 20~70 Dr. WF~~Cam F. Gaymon
Anerl ’-m- Cnatitutes for “eaearch~uman Resource Management Center, Norfolk 3301 New Mexico Avenue , N~- ’5621—23 Tidewater ~r. Foxha~~ Sqt~~reNorfolk , VA 2351. ton , DC 20016
~~~~~~ n Resource Management ~~.‘- . C~
-. ~~~. 0. Milan
Center~ San Diego SMC 265Naval T’-~~.ning Center Naval ~e”-tgraduate SchoolSan Diego , r~ 0;
~3 ~‘D:P ~~~!- , CA 93940
Pi~~an Resour ce M*nag~~~nt Center , Eugene F. StonePearl Harbor Aar ’-~ ant
professor of ManagementV~~ Sara Francisco, CA 96610 De b t . of —~-~r’ “i~trstive Sciences
Purdue UniversityHuman Resource Management School. West Lafave~ te , IN 47907Naval Air SCe - t-~n, Memphis (96)Mill ton . “N 3 ’3/~ ~~~~~ M - q t q ~rial Co and
Fnp~~-v ce ~e’.-elopme~~t Office~~- -~..._ P Capt. ~r~’ce Stove 1~.S.N. Code SA—65
Director Room 150 Jefferson Plaza, Bldg. #2Pi-ogrem ~‘ - £o-~ei~t Div. (Code N—35) 1429 Jeff Davis HighwayChief of Naval Edice~~ cv & Training Arlington , VA 20360Naval Air Sta onPensacola, - 32rCQ Headquarters , Forces Comeand
APPE - HRMr. ~si:h Taylor Ft. McPhersonOffice of Civ’lian Manpower Management Georgia 30330(Cods 21)Navy DepartmentWashington, DC 20390
I - -
- •
‘~_‘__•-_!~~~_~
- 2T T~~~~~-~~~~~~~~ - — ~~~ ~~~~~~~~~~~~~~~~~~ -~ - - —~-• .--— - ________
/
Additions (continued)
Captain Joseph Weker Dr. Bill CurtisDepartment o’ the Army Weyerhaeuser l~r mpa i :yHeadquarters, 32D Ara 7 UHB #2
• Air Defenee C~~~ .and ~‘.i -on~~, ~~ ~-~4OlAPO N. V~ 091751r. Al lan P.
E~~ ind D. Th~~~ a Code 8030(Code 307t’) Naval H- ; 1~~- Research CenterNavy Personnel Rsssarch ~nn ~~~~~~~~ CA 32152
and Deve lopment CenterSan Diego, -
~~~‘~ 97152
Dr. Robert L. Holabach, .r.t)epartmsnt of the NavyNavy PersonneL ~e~~’z’ - -:~iand Development Center
Sam Diego, CA 92132
Johann.s N. Penningsr~ J ” n t - 3cho. . of ~~~~ ?rta l Admin.
Carnegie— tie ’ ‘n’ ~si ’vSchanley ~~~~~~ - -
Pittsburgh , PA 15213
Personnel Resea rch andDevelopmen t ~~~~~~~
U.S. Civil Service Comeisujonbureau of Policies & StandardsWashington, D. C. 20415
Department of the Air Forcep Air Force Institute c’ Tech . (AU )
ATTT/St.CR (Lt . Col. t~as t rWright—Patterson Air Force
Base , Ohio 45433
Dr. John A. ~refc’r , Jr.Bat t e ‘ ~r 1~~m.n Af f I re
- Cen ter4000 N.!. &lst StreetSeattle, Washington 98105
Dr. Doug lap T , HallEarl •
“~~~~-‘ Howard Professorend Chairman
Dept. of Orga*izational BehaviorGraduate Senoo l of Management
~venaton. rJinoie 60201
H
_ _ _ ____________ -- - -~~~— — ~
.—-—---.-——- - -
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