Abstract
Ben Wright has influenced cognitive psychology both through his own work and through his training of cognitive psychologists. We provide several examples of our efforts to apply the Rasch measurement techniques Ben taught us to cognitive psychology. We describe results from studies employing fit analysis, differential item functioning analysis, Rasch item design techniques, and item linking. These studies address several aspects of human cognition, including spatial visualization, working memory, vocabulary ability, foreign language learning, and cognitive aging. None of these results would be possible without the Rasch measurement techniques we learned from Ben Wright.
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References
Andrich, D. (1978). A rating scale formulation for ordered response categories. Psychometrika, 43, 561–573.
Bayroff, A. G., & Fuchs, E. F. (1968). The armed services vocational aptitude battery. Proceedings of the Annual Convention of the American Psychological Association, 3, 635–636.
Bowles, R. P. & McArdle, J. J. (2000). An Item Response Theory (IRT) analysis of WAIS and WJ-R sub-scales. In McArdle, J. J (Ed.), A summary of recent results from the National Growth and Change Study (NGCS). Department of Psychology, University of Virginia, Appendix to NIH Grant AG7467, National Institute on Aging.
Bowles, R. P., & Salthouse, T. A. (2003). Assessing the age-related effects of proactive interference on working memory span tasks using the Rasch model. Psychology and Aging, 18, 608–615.
Campbell, S. K., Kolobe, T. H. A., Wright, B. D., & Linacre, J. M. (2002). Validity of the test of infant motor performance for prediction of 6-, 9- and 12-month scores on the Alberta Infant Motor Scale. Developmental Medicine and Child Neurology, 44, 263–272.
Carroll, J. B. (1993). Human cognitive abilities: A survey of factor-analytic studies. New York: Cambridge University Press.
Chang, C.-H., & Wright, B. D. (2001). Detecting unexpected variables in the MMPI-2 social introversion scale. Journal of Applied Measurement, 2, 227–240.
Embretson, S. E. (1984). A general multicomponent latent trait model for response processes. Psychometrika, 49, 175–186.
Embretson, S. E. (1991). A multidimensional latent trait model for measuring learning and change. Psychometrika, 52, 495–516.
Embretson, S. E., & Schmidt McCollam, K. M. (2000a). A multicomponent Rasch model for measuring covert processes: Application to lifespan ability changes. In M. Wilson & G. Engelhard (Eds.), Objective measurement: Theory into practice (Vol. Vol. 5, pp. 203–218). Norwood: Ablex.
Embretson, S. E., & Schmidt McCollam, K. M. (2000b). Psychometric approaches to understanding and measuring intelligence. In R. J. Sternberg (Ed.), Handbook of human intelligence (pp. 423–444). New York: Cambridge University Press.
Fischer, G. (1973). The linear logistic test model as an instrument in educational research. Acta Psychologica, 37, 359–374.
Hasher, L., & Zacks, R. (1988). Working memory, comprehension, and aging: A review and a new view. In G. H. Bower (Ed.), The psychology of learning and motivation (Vol. Vol. 22, pp. 193–226). New York: Academic Press.
Heinemann, A. W., Linacre, J. M., Wright, B. D., Hamilton, B. B., & Granger, C. (1994). Measurement characteristics of the functional independence measure. Topics in Stroke Rehabilitation, 1, 1–15.
Joy, S., Fein, D., Kaplan, E., & Freedman, M. (2001). Quantifying qualitative features of block design performance among healthy older adults. Archives of Clinical Neuropsychology, 16, 157–170.
Kaplan, E. (1988). A process approach to neuropsychological assessment. In T. Boll & B. K. Bryant (Eds.), Clinical neuropsychology and brain function: Research, measurement, and practice (pp. 129–231). Washington, DC: American Psychological Association.
Kaplan, E., Fein, D., Morris, D., & Delis, D. (1991). The WAIS-R as a neuropsychological instrument. San Antonio: Psychological Corporation.
Kaufman, A. S. (1990). Assessing adolescent and adult intelligence. Boston: Allyn and Bacon.
Kline, T. L., & Schmidt, K. M. (2005). Rasch analysis examining processing mechanisms of the object location memory test revised. Journal of Applied Measurement, 6, 382–395.
Lezak, M. D. (1995). Neuropsychological assessment (3rd ed.). Oxford: Oxford University Press.
Linacre, J. M. (1989). Facets [Computer software]. Chicago: MESA Press.
Linacre, J. M., & Wright, B. D. (1994). Chi-square fit statistics. Rasch Measurement Transactions, 8, 350.
Linacre, J. M., & Wright, B. D. (2001). Winsteps (Version 3.02) [Computer software]. Chicago: MESA Press.
Lunz, M. E., Bergstrom, B. A., & Wright, B. D. (1992). The effect of review on student ability and test efficiency for computerized adaptive tests. Applied Psychological Measurement, 16, 33–40.
May, C. P., Hasher, L., & Kane, M. J. (1999). The role of interference in memory span. Memory and Cognition, 27, 759–767.
McArdle, J. J., Ferrer-Caja, E., Hamagami, F., & Woodcock, R. W. (2002). Comparative longitudinal structural analyses of the growth and decline of multiple intellectual abilities over the life span. Developmental Psychology, 38, 115–142.
McArdle, J., Grimm, K., Hamagami, F., Bowles, R., & Meredith, W. (2009). Modeling life-span growth curves of cognition using longitudinal data with multiple samples and changing scales of measurement. Psychological Methods, 14(2), 126–149.
McArdle, J. J., Hamagami, F., Meredith, W., & Bradway, K. P. (2000). Modeling the dynamic hypotheses of Gf-Gc theory using longitudinal life-span data. Learning and Individual Differences, 12, 53–79.
McArdle, J. J., & Nesselroade, J. R. (2003). Growth curve analysis in contemporary research. In J. Schinka & W. Velicer (Eds.), Comprehensive handbook of psychology, Research methods in psychology (Vol. Vol II, pp. 447–480). New York: Pergamon.
McCollam, K. M. (1997). The modifiability of age differences in spatial visualization (Doctoral dissertation, University of Kansas, 1997). Dissertation Abstracts International, 59, 1409.
McGrew, K. S., Werder, J. K., & Woodcock, R. W. (1991). WJ-R technical manual. Allen: DLM.
Ohio State University Foreign Language Center. (2002). MultiCAT. Columbus: Ohio State University.
Perline, R., Wright, B. D., & Wainer, H. (1979). The Rasch model as additive conjoint measurement. Applied Psychological Measurement, 3, 237–256.
Rost, J. (1990). Rasch models in latent classes: An integration of two approaches to item analysis. Applied Psychological Measurement, 14, 271–282.
Salthouse, T. A. (1987). Sources of age-related individual differences in block design tests. Intelligence, 11, 245–262.
Schmidt McCollam, K. M. (1998). Latent trait and latent class models. In G. M. Marcoulides (Ed.), Modern methods for business research (pp. 23–46). Mahwah: Erlbaum.
Shepard, R. N., & Feng, C. (1972). A chronometric study of mental paper folding. Cognitive Psychology, 3, 338–243.
Shepard, R. N., & Metzler, J. (1971). Mental rotation of three-dimensional objects. Science, 171, 701–703.
Silverman, I., & Eals, M. (1992). Sex differences in spatial abilities: Evolutionary theory and data. In J. Barkow, L. Cosmides, & J. Tooby (Eds.), The adapted mind: Evolutionary psychology and the generation of culture (pp. 487–503). New York: Oxford University Press.
Stone, M. H., & Wright, B. D. (1983). Measuring attending behavior and short-term memory with Knox’s cube test. Educational and Psychological Measurement, 43, 803–814.
Storandt, M. (1977). Age, ability level, and method of administering and scoring the WAIS. Journal of Gerontology, 32, 175–178.
Troyer, A. K., Cullum, C. M., Smernoff, E. N., & Kozora, E. (1994). Age effects on block design: Qualitative performance features and extended-time effects. Neuropsychology, 8, 95–99.
Verhaeghen, P., & Salthouse, T. A. (1997). Meta-analyses of age-cognition relations in adulthood: Estimates of linear and nonlinear age effects and structural models. Psychological Bulletin, 122, 231–249.
Wechsler, D. (1981). Wechsler adult intelligence scale- revised. New York: Psychological Corporation.
Wilde, M. C., Boake, C., & Sherer, M. (2000). Wechsler adult intelligence scale- revised block design broken configuration errors in nonpenetrating traumatic brain injury. Applied Neuropsychology, 7, 208–214.
Woodcock, R. W., & Johnson, M. B. (1989). Woodcock-Johnson psycho-educational battery- revised. Allen, TX: DLM.
Wright, B. D. (1977). Solving measurement problems with the Rasch model. Journal of Educational Measurement, 14, 97–116.
Wright, B. D. (1994). Data analysis and fit. Rasch Measurement Transactions, 7, 324.
Wright, B. D. (1999). Fundamental measurement for psychology. In S. E. Embretson & S. L. Hershberger (Eds.), The new rules of measurement: What every psychologist and educator should know (pp. 65–104). Mahwah: Erlbaum.
Wright, B. D., & Masters, G. N. (1982). Rating scale analysis. Chicago: MESA Press.
Wright, B. D., Mead, R., & Draba, R. (1976). Detecting and correcting test item bias with a logistic response model (MESA Research Memorandum No. 22). Chicago: MESA Psychometric Laboratory.
Wright, B. D., & Stone, M. A. (1979). Best test design. Chicago: MESA Press.
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Bowles, R.P., Schmidt, K.M., Kline, T.L., Grimm, K.J. (2017). Ben Wright, Rasch Measurement, and Cognitive Psychology. In: Wilson, M., Fisher, Jr., W. (eds) Psychological and Social Measurement. Springer Series in Measurement Science and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-67304-2_13
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