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Seeking a Balance Between the Statistical and Scientific Elements in Psychometrics

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  • Mark Wilson

Abstract

In this paper, I will review some aspects of psychometric projects that I have been involved in, emphasizing the nature of the work of the psychometricians involved, especially the balance between the statistical and scientific elements of that work. The intent is to seek to understand where psychometrics, as a discipline, has been and where it might be headed, in part at least, by considering one particular journey (my own). In contemplating this, I also look to psychometrics journals to see how psychometricians represent themselves to themselves, and in a complementary way, look to substantive journals to see how psychometrics is represented there (or perhaps, not represented, as the case may be). I present a series of questions in order to consider the issue of what are the appropriate foci of the psychometric discipline. As an example, I present one recent project at the end, where the roles of the psychometricians and the substantive researchers have had to become intertwined in order to make satisfactory progress. In the conclusion I discuss the consequences of such a view for the future of psychometrics. Copyright The Psychometric Society 2013

Suggested Citation

  • Mark Wilson, 2013. "Seeking a Balance Between the Statistical and Scientific Elements in Psychometrics," Psychometrika, Springer;The Psychometric Society, vol. 78(2), pages 211-236, April.
    • Handle: RePEc:spr:psycho:v:78:y:2013:i:2:p:211-236
    DOI: 10.1007/s11336-013-9327-3
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    References listed on IDEAS

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    1. Geoff Masters, 1982. "A rasch model for partial credit scoring," Psychometrika, Springer;The Psychometric Society, vol. 47(2), pages 149-174, June.
    2. Denny Borsboom, 2006. "The attack of the psychometricians," Psychometrika, Springer;The Psychometric Society, vol. 71(3), pages 425-440, September.
    3. David J. Spiegelhalter & Nicola G. Best & Bradley P. Carlin & Angelika Van Der Linde, 2002. "Bayesian measures of model complexity and fit," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(4), pages 583-639, October.
    4. Robert Mislevy & Mark Wilson, 1996. "Marginal maximum likelihood estimation for a psychometric model of discontinuous development," Psychometrika, Springer;The Psychometric Society, vol. 61(1), pages 41-71, March.
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