Measurement Models, Estimation, and the Study of Change

Kevin Grimm, Anthony P. Kuhl, Zhiyong Zhang

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

The study of change is based on the idea that the score or index at each measurement occasion has the same meaning and metric across time. In tests or scales with multiple items, such as those common in the social sciences, there are multiple ways to create such scores. Some options include using raw or sum scores (i.e., sum of item responses or linear transformation thereof), using Rasch-scaled scores provided by the test developers, fitting item response models to the observed item responses and estimating ability or aptitude, and jointly estimating the item response and growth models. We illustrate that this choice can have an impact on the substantive conclusions drawn from the change analysis using longitudinal data from the Applied Problems subtest of the Woodcock-Johnson Psycho-Educational Battery-Revised collected as part of the National Institute of Child Health and Human Development's Study of Early Child Care. Assumptions of the different measurement models, their benefits and limitations, and recommendations are discussed.

Original languageEnglish (US)
Pages (from-to)504-517
Number of pages14
JournalStructural Equation Modeling
Volume20
Issue number3
DOIs
StatePublished - Jul 2013
Externally publishedYes

Fingerprint

Linear transformations
Social sciences
Longitudinal Data Analysis
aptitude
Social Sciences
Linear transformation
Growth Model
child care
Health
Model
Battery
Recommendations
social science
Metric
Measurement model
ability
health
Children
Meaning
Education

Keywords

  • change
  • growth
  • item response model
  • longitudinal
  • measurement

ASJC Scopus subject areas

  • Modeling and Simulation
  • Decision Sciences(all)
  • Economics, Econometrics and Finance(all)
  • Sociology and Political Science

Cite this

Measurement Models, Estimation, and the Study of Change. / Grimm, Kevin; Kuhl, Anthony P.; Zhang, Zhiyong.

In: Structural Equation Modeling, Vol. 20, No. 3, 07.2013, p. 504-517.

Research output: Contribution to journalArticle

Grimm, Kevin ; Kuhl, Anthony P. ; Zhang, Zhiyong. / Measurement Models, Estimation, and the Study of Change. In: Structural Equation Modeling. 2013 ; Vol. 20, No. 3. pp. 504-517.
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