TY - JOUR
AU - Zautra, Alex
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.
TI - The Trait–State–Error Model for Multiwave Data
JF - Journal of Consulting and Clinical Psychology
DO - 10.1037/0022-006X.63.1.52
DA - 1995-02-01
UR - https://www.deepdyve.com/lp/american-psychological-association/the-trait-state-error-model-for-multiwave-data-E5cnOmw2E0
SP - 52
EP - 59
VL - 63
IS - 1
DP - DeepDyve
ER -