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 language | English (US) |
|---|---|
| Pages (from-to) | 491-503 |
| Number of pages | 13 |
| Journal | Behavior Research Methods, Instruments, and Computers |
| Volume | 28 |
| Issue number | 4 |
| DOIs | |
| State | Published - Jan 1 1996 |
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All Science Journal Classification (ASJC) codes
- Experimental and Cognitive Psychology
- Psychology (miscellaneous)
- Psychology(all)
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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 journal › Article
TY - JOUR
T1 - Covariance structure analysis in experimental research
T2 - Comparing two word translation models
AU - Van Hell, Adriana
AU - Oosterveld, Paul
AU - De Groot, Annette M.B.
PY - 1996/1/1
Y1 - 1996/1/1
N2 - 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.
AB - 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.
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UR - http://www.scopus.com/inward/citedby.url?scp=0041025534&partnerID=8YFLogxK
U2 - 10.3758/BF03200538
DO - 10.3758/BF03200538
M3 - Article
VL - 28
SP - 491
EP - 503
JO - Behavior Research Methods
JF - Behavior Research Methods
SN - 1554-351X
IS - 4
ER -