Hostname: page-component-5f745c7db-tvc9f Total loading time: 0 Render date: 2025-01-06T21:45:19.534Z Has data issue: true hasContentIssue false
  • English
  • Français

Psychometrics in Psychological Research: Role Model or Partner in Science?

Published online by Cambridge University Press:  01 January 2025

Klaas Sijtsma
Klaas Sijtsma*
Affiliation:
Tilburg University
*
Requests for reprints should be sent to Klaas Sijtsma, Department of Methodology and Statistics, FSW, Tilburg University, PO Box 90153, 5000 LE, Tilburg, The Netherlands. E-mail: k.sijtsma@uvt.nl
Get access Rights & Permissions [Opens in a new window]

Abstract

This is a reaction to Borsboom’s (2006) discussion paper on the issue that psychology takes so little notice of the modern developments in psychometrics, in particular, latent variable methods. Contrary to Borsboom, it is argued that latent variables are summaries of interesting data properties, that construct validation should involve studying nomological networks, that psychological research slowly but definitely will incorporate latent variable methods, and that the role of psychometrics in psychology is that of partner, not role model.

Keywords

construct validitylatent variable modelsrole of psychometrics in psychologystatus of latent variables
Type
Original Paper
Information
Psychometrika , Volume 71 , Issue 3 , September 2006 , pp. 451 - 455
Copyright
Copyright © 2006 The Psychometric Society

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Borsboom, D. (2006). The attack of the psychometricians. Psychometrika, 71, 425–440.CrossRefGoogle ScholarPubMed
Borsboom, D., Mellenbergh, G.J., Van Heerden, J. (2004). The concept of validity. Psychological Review, 111, 1061–1071.CrossRefGoogle ScholarPubMed
Bouwmeester, S. (2005). Latent variable modeling of cognitive processes in transitive reasoning. Tilburg, Tilburg University (PhD dissertation).Google Scholar
De Boeck, P., Wilson, M. (2004). Explanatory item response models. A generalized linear and nonlinear approach, Dordrecht: Springer-Verlag.CrossRefGoogle Scholar
Hofstee, W.K.B. (1980). De empirische discussie. Theorie van het sociaal-wetenschappelijk onderzoek. (The empirical discussion. Theory of social science research). Meppel, The Netherlands: Boom.Google Scholar