Supersymmetry, shape invariance, and exactly solvable potentials
Factorial Invariance: A Primer
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Transcript of Factorial Invariance: A Primer
Factorial Invariance:
A Primer
Thomas J. Gross, Ph.D. University of Nebraska-Lincoln
Presented to
Tennessee State University
Psychology Department
Overview
• Confirmatory Factor Analysis (CFA)
• Longitudinal Invariance
• Issues with Short-forms
• Alabama Parenting Questionnaire-9
Confirmatory Factor Analysis
(CFA)
• How well measured variables (factors) represent a construct
• Confirm or reject
• Model Fit – how plausible a model is
• χ2
• Root Mean Square Error of Approximation (RMSEA)
• Standardized Root Mean Residual (SRMR)
• Tucker-Lewis Index (TLI): AKA Non-Normed Fit Index (NNFI)
• Comparative Fit Index (CFI)
Fit
Confirmatory Factor
Analysis
X1 X3 X2
θ22 θ11 θ33
λ11 λ21 λ31
Construct –
Latent Variable
Factors –
Manifest Variables
or Items
Ψ11
Factor Loadings –
Factors relationship to the Construct
Positive
Parenting
Praise Compliment Good job
Invariance
• The Same or Equal
• Measurement Invariance
• Longitudinal Invariance
• When would this be important?
• Has this measure shown to be invariant?
Invariance: 3 Levels
• Level 1:
• Configural Invariance
• Factors load on their presumed construct
• What does this mean longitudinally?
• What would you expect?
Invariance: 3 Levels
• Level 2:
• Metric Invariance
• Factors load similarly on to the construct
• What does this mean longitudinally?
• What would you expect?
Invariance: 3 Levels
X1 X3 X2
θ22 θ11 θ33
λ11 λ21 λ31
Ψ11
Same Pattern across
factor loadings across
time
Invariance: 3 Levels
• Level 3:
• Scalar Invariance
• Factors means structure is similar
• What does this mean longitudinally?
• What would you expect?
Alabama Parenting Questionnaire
(APQ)
• 42-item
• Parental Involvement (PI)
• Positive Parenting (PP)
• Inconsistent Discipline (ID)
• Poor Monitoring/Supervision (PS)
• Corporal Punishment (CP)
• Difficulty with progress monitoring
Alabama Parenting Questionnaire
(APQ)
• APQ-9
• Positive Parenting (PP)
• Inconsistent Discipline (ID)
• Poor Monitoring/Supervision (PS)
• 3 scales, 3 items each
• Is the youth version invariant over time?
• Level 1: • What would we see if the APQ-9 has Configural Invariance?
• Fit stats?
• What does that mean?
• Level 2: • What would we see if the APQ-9 has Metric Invariance?
• Fit stats?
• What does that mean?
• Level 3: • What would we see if the APQ-9 has Scalar Invariance?
• Fit stats?
• What does that mean?
APQ-9 Longitudinal Invariance
MODEL χ2 df p RMSEA [90% CI] CFI TLI
NULL 3033.065 351 .000 NA NA NA
CONFIGURAL 392.482 261 .000 0.04 [0.031, 0.047] 0.951 0.934
METRIC 407.992 273 .000 0.039 [0.031, 0.047] 0.950 0.935
SCALAR 428.102 285 .000 0.040 [0.032, 0.047] 0.947 0.934
• Does the APQ-9 for Youth pass or fail?
PASS FAIL
APQ-9 Longitudinal Invariance
MODEL χ2 df p RMSEA [90% CI] CFI TLI
NULL 3033.065 351 .000 NA NA NA
CONFIGURAL 392.482 261 .000 0.04 [0.031, 0.047] 0.951 0.934
METRIC 407.992 273 .000 0.039 [0.031, 0.047] 0.950 0.935
SCALAR 428.102 285 .000 0.040 [0.032, 0.047] 0.947 0.934
• Does the APQ-9 for Youth pass or fail?
PASS FAIL
We don’t worry too much about Chi-
Squared because it is too sensitive to
sample size.
RMSEA < .10, and < .05. Low misfit
CFI > .90, or ≥ .95. Good fit.
TLI > .90. Adequate fit.
APQ-9 Longitudinal Invariance
One more hurdle: Δχ2
• Δχ2 = χ12 – χ22
• Δdf = df1 – df2
• Look up value in χ2 table
• Non-significant result at .05-level
• METRIC vs. CONFIGURAL
• SCALAR vs METRIC
One more hurdle: Δχ2
MODEL VS. Δχ^2 Δdf p NULL -- -- -- -- CONFIGURAL -- -- -- --
METRIC CONFIGURAL 15.51 12 0.215
SCALAR METRIC 20.11 12 0.065
PASS FAIL
Next Foci
• Up next:
• Review matrix algebra
• The Greek
Σ = Λ Ψ Λ´ + Θ !!!!!!
• Syntax for the equations
• Level 4: Strict Invariance
• Multiple group models
• Partial invariance
Review
• What is a CFA?
• Name important fit stats.
• What is invariance?
• Why do we care about invariance?
• How do we know if a measure is longitudinally invariant?
References
Dimitrov, D. M. (2010). Testing for factorial invariance in the context of construct validation. Measurement and Evaluation in Counseling and Development, 43, 121-149.
van de Schoot, R., Lugtig, P., & Hox, J. (2012). A checklist for testing measurement invariance. European Journal of Developmental Psychology, 9, 486-492.
• CFA Diagram from: Little, T.D. (June, 2014) Longitudinal Structural Equation Modeling. Texas Tech Institute for Measurement, Methodology, Analysis, & Policy, “Stats Camp.”
• Statistical Software: Muthén, B., & Muthén, L. (2012). Mplus user’s guide (7th ed.). Los Angeles, CA: Authors.
• Looking ahead: Milfont, T. L., & Fischer, R. (2010). Testing measurement invariance across groups: Applications in cross-cultural research. International Journal of Psychological Research, 3, 111-130.