TY - JOUR
T1 - The Trait-State-Error Model for Multiwave Data
AU - Kenny, David A.
AU - Zautra, Alex
PY - 1995/2
Y1 - 1995/2
N2 - 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.
AB - 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.
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U2 - 10.1037/0022-006X.63.1.52
DO - 10.1037/0022-006X.63.1.52
M3 - Article
C2 - 7896990
AN - SCOPUS:0028924882
SN - 0022-006X
VL - 63
SP - 52
EP - 59
JO - Journal of consulting and clinical psychology
JF - Journal of consulting and clinical psychology
IS - 1
ER -