Message/Author |
|
JackeJR posted on Wednesday, April 27, 2016 - 8:11 pm
|
|
|
A common way to test measurement invariance is to test it across groups e.g. Ethnicity. If however I would like to test for measurement invariance across a continuous variable like age, how do I do it besides breaking age into age ranges? |
|
|
You can use the CONSTRAINT= option to let a measurement parameter vary as a function of say age. See also UG ex 5.23. |
|
JackeJR posted on Tuesday, May 10, 2016 - 12:58 am
|
|
|
Thanks Dr Muthen. I am not so sure I get it. What should I put under the model constraint? And how is this different from a MIMIC model? A simple example below. VARIABLE: CONSTRAINT = AGE MODEL: f1 BY y1-y4; f2 BY y5-y8; f3 BY y9-y12; MODEL CONSTRAINT |
|
|
Give a label to the loading you want to vary with age, say "load". Then say Model Constraint: New(a b); load = a + b*age; This way the loading is a linear function of age. |
|
JackeJR posted on Wednesday, May 11, 2016 - 12:05 am
|
|
|
Thanks Dr Muthen. Just to clarify, I run VARIABLE: CONSTRAINT = AGE MODEL: f1 BY y1-y4; f2 BY y5-y8; f3 BY y9-y12; f1-f3(load); MODEL CONSTRAINT New(a b); load = a + b*AGE; A significant "b" suggests that age predicts the factor loading? or should I be comparing the model with constraints with the one without constraints to see if adding the constraints improve model fit? |
|
|
Yes, a significant b says that age predicts the factor loading. |
|
Back to top |