Table 3.
Model Fit Statistics for Test of Measurement Invariance in 7-item CESD over time: Americans’ Changing Lives Study (1986–2011).
|
Items Modeled as: |
Configural Invariancea |
Metric Invarianceb |
Scalar Invariancec |
|||
|---|---|---|---|---|---|---|
| Categorical | Continuous | Categorical | Continuous | Categorical | Continuous | |
| d | – | – | 1.9 | 2.1 | 6.5 | 9.3 |
| CFI | .95 | .88 | .96 | .88 | .96 | .87 |
| TLI | .95 | .87 | .96 | .87 | .96 | .87 |
| RMSEA | .03 | .04 | .03 | .04 | .03 | .04 |
CFI = Comparative Fit Index TLI = Tucker-Lewis Index RMSEA = Root Mean Square Error of Approximation.
Same indicators of the latent construct are specified at each occasion.
Weak factorial invariance = Constraining factor loadings for items to be equal over time.
Strong Factorial invariance = Additionally constraining item intercepts to be equal across time.
For models with categorical items the chi-square difference test (DIFFTEST option in Mplus) is used to compare nested models.