New psychometric approaches to the measurement of change

Authors

Christian Geiser, Utah State UniversityFollow
Michael Eid, Freie Universität BerlinFollow
Fridtjof W. Nussbeck, Bielefeld UniversityFollow

Document Type

Article

Journal/Book Title/Conference

Zeitschrift für Gesundheitspsychologie

Volume

56

Issue

3

Publisher

Hogrefe

Publication Date

6-11-2008

First Page

181

Last Page

189

Abstract

In the present paper, the authors provide an overview of new psychometric approaches to the measurement of change that are of interest to clinical psychology. Based on the distinction between models for measuring (1) situation-specific variability, (2) developmental changes, and (3) changes caused by interventions, approaches for both, continuous and categorical outcomes are discussed. A special focus is on new developments in the area of mixture distribution models (e. g., mixture distribution state-trait models, growth mixture models). These models allow for a classification of individuals according to their specific pattern of change. Finally, the authors show how mixture distribution models can be applied to detect a priori unknown subgroups of individuals who differ in their response to treatments.

Recommended Citation

Geiser, Christian; Eid, Michael; and Nussbeck, Fridtjof W., "New psychometric approaches to the measurement of change" (2008). Psychology Faculty Publications. Paper 1305.
https://digitalcommons.usu.edu/psych_facpub/1305