Covariance structure analysis in experimental research: Comparing two word translation models

Janet G. Van Hell, Paul Oosterveld, Annette M.B. De Groot

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


Covariance structure analysis is a statistical technique in which a theoretical model, or a covariance structure, is constructed, and the covariances predicted by the theoretical model are compared with those of the observed data. The adequacy of the model in reproducing the sample covariances is reflected by estimates of the parameters of the model and measures indicating the goodness of fit. Covariance structure analysis is frequently used for analyzing data obtained in nonexperimental or quasi-experimental research, but is seldom employed in experimental research. In this paper, the applicability of this technique in experimental research is discussed and illustrated by covariance structure analysis studies in which two models for word translation - the symmetrical model and the asymmetrical model - are described, refined, and contrasted.

Original languageEnglish (US)
Pages (from-to)491-503
Number of pages13
JournalBehavior Research Methods, Instruments, and Computers
Issue number4
StatePublished - Nov 1996

All Science Journal Classification (ASJC) codes

  • Experimental and Cognitive Psychology
  • Psychology (miscellaneous)
  • Psychology(all)


Dive into the research topics of 'Covariance structure analysis in experimental research: Comparing two word translation models'. Together they form a unique fingerprint.

Cite this