Introduction
One can scarcely describe psychometric theory and practice without unearthing the history of the discipline of psychology itself. That is to say, the history of psychometrics is tied in important ways to the history of psychology as an independent discipline, as it was largely the promise of subsuming inquires of a psychological nature under a natural science rubric – complete with its quantitative methods – that opened the door for psychology to formally break from philosophy. Moreover, the relationship between substantive psychological theory and psychometric theory has historically been closely entangled, and the two have mutually informed and constrained one another as they have developed over the past century, one consequence of which is that the concept of “psychometrics” extends widely. It refers not only to a body of psychological measurement theory but also to a wide array of methods, instruments, and procedures that are applicable in a broad range of contexts –...
References
Aiken, L. S., West, S. G., & Milsap, R. E. (2008). Doctoral training in statistics, measurement, and methodology in psychology: Replication and extension of Aiken, West, Sechrest, and Reno’s (1990) survey of PhD programs in North America. American Psychologist, 63, 32–50.
American Psychological Association. (1954). Technical recommendations for psychological tests and diagnostic techniques. Psychological Bulletin, 51(2, Pt. 2), 1–38.
Blinkhorn, S. F. (1997). Past imperfect, future conditional: Fifty years of test theory. British Journal of Mathematical and Statistical Psychology, 50, 175–186.
Borsboom, D. (2006). The attack of the psychometricians. Psychometrika, 71, 425–440.
Cliff, N. (1992). Abstract measurement theory and the revolution that never happened. Psychological Science, 3, 186–190.
Cronbach, L. J., & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52, 281–302.
Debreu, G. (1960). Topological methods in cardinal utility theory. In K. J. Arrow, S. Karlin, & P. Suppes (Eds.), Mathematical methods in the social sciences (pp. 16–26). Stanford, CA: Stanford University Press.
Hattie, J. A. (1985). Methodology review: Assessing unidimensionality of tests and items. Applied Psychological Measurement, 9(2), 139–164.
Luce, R. D., & Tukey, J. W. (1964). Simultaneous conjoint measurement: A new type of fundamental measurement. Journal of Mathematical Psychology, 1, 1–27.
Maraun, M. D. (1998). Measurement as a normative practice: Implications of Wittgenstein’s philosophy for measurement in psychology. Theory & Psychology, 8, 435–461.
McDonald, R. P. (1981). The dimensionality of tests and items. The British Journal of Mathematical and Statistical Psychology, 34(1), 100–117.
Michell, J. (1990). An introduction to the logic of psychological measurement. Hillsdale, NJ: Lawrence Erlbaum.
Michell, J. (1997). Quantitative science and the definition of measurement in psychology. British Journal of Psychology, 88, 355–383.
Schmidt, F. L., Le, H., & Ilies, R. (2003). Beyond alpha: An empirical examination of the effects of different sources of measurement error on reliability estimates for measures of individual differences constructs. Psychological Methods, 8(2), 206–224.
Slaney, K. L., & Maraun, M. D. (2008). A proposed framework for conducting data-based test analysis. Psychological Methods, 13(4), 376–390.
Slaney, K. L., Tkatchouk, M., Gabriel, S. M., & Maraun, M. D. (2009). Psychometric assessment and reporting practices: Incongruencies between theory and practice. Journal of Psychoeducational Assessment, 27(6), 465–476.
Spearman, C. (1904a). The proof and measurement of association between two things. The American Journal of Psychology, 15, 72–101.
Spearman, C. (1904b). General intelligence, objectively determined and measured. The American Journal of Psychology, 15, 201–293.
Steiger, J. H. (1996). Coming full circle in the history of factor indeterminacy. Multivariate Behavioral Research, 31, 617–630.
Trendler, G. (2009). Measurement theory, psychology and the revolution that cannot happen. Theory & Psychology, 19(5), 579–599.
Online Resources
Psychometric Society. http://www.psychometrika.org/
Division 5 of the American Psychological Association – Evaluation, measurement, and statistics. http://www.apa.org/divisions/div5/index.html
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer Science+Business Media New York
About this entry
Cite this entry
Slaney, K. (2014). Psychometrics. In: Teo, T. (eds) Encyclopedia of Critical Psychology. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-5583-7_249
Download citation
DOI: https://doi.org/10.1007/978-1-4614-5583-7_249
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-5582-0
Online ISBN: 978-1-4614-5583-7
eBook Packages: Springer Reference Behavioral Sciences