multi group analysis for dependent samples

[janmicha...@googlemail.com]

Is there a way to modify the multi group analysis and measurement invariance tests in SEM to satisfy that both groups are not independent, but actually have a dependency (i.e., paired observations from a repeated measurement)?

As far as I understand the common test rely on the assumption of independent samples for the groups. Or am I wrong?

[Edward Rigdon]

If the observations are related, make them part of the same record, and use equality constraints to impose invariance. If the assumptions around chi-square hold, then specify nested models and use the chi-square difference to assess the plausibility of the constraints.

--Ed R.

On Fri, Apr 26, 2019 at 12:26 PM janmichaelbecker via lavaan <lav...@googlegroups.com> wrote:

Is there a way to modify the multi group analysis and measurement invariance tests in SEM to satisfy that both groups are not independent, but actually have a dependency (i.e., paired observations from a repeated measurement)?

As far as I understand the common test rely on the assumption of independent samples for the groups. Or am I wrong?

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