Covariance structure analysis in experimental research

Comparing two word translation models

Adriana Van Hell, Paul Oosterveld, Annette M.B. De Groot

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

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
Volume28
Issue number4
DOIs
StatePublished - Jan 1 1996

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Theoretical Models
Research
Experimental Research
Goodness
Asymmetrical
Adequacy

All Science Journal Classification (ASJC) codes

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

Cite this

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Covariance structure analysis in experimental research : Comparing two word translation models. / Van Hell, Adriana; Oosterveld, Paul; De Groot, Annette M.B.

In: Behavior Research Methods, Instruments, and Computers, Vol. 28, No. 4, 01.01.1996, p. 491-503.

Research output: Contribution to journalArticle

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