The trait-state-error model for multiwave data.

Abstract:

:Although researchers in clinical psychology routinely gather data in which many individuals respond at multiple times, there is not a standard way to analyze such data. A new approach for the analysis of such data is described. It is proposed that a person's current standing on a variable is caused by 3 sources of variance: a term that does not change (trait), a term that changes (state), and a random term (error). It is shown how structural equation modeling can be used to estimate such a model. An extended example is presented in which the correlations between variables are quite different at the trait, state, and error levels.

journal_name

J Consult Clin Psychol

authors

Kenny DA,Zautra A

doi

10.1037//0022-006x.63.1.52

subject

Has Abstract

pub_date

1995-02-01 00:00:00

pages

52-9

issue

1

eissn

0022-006X

issn

1939-2117

journal_volume

63

pub_type

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