The Multidimensional Personality Questionnaire (MPQ; Tellegen, 1982) was parameterized using the two-parameter logistic item response model. This en tailed assessment of the suitability of personality data for item response analyses, including the assessment of dimensionality, monotonicity of item response, and data-model fit. The latter issue received special em phasis. Similarities and differences between maximum performance and typical performance data are dis cussed in relation to item response theory. Results suggest that the two-parameter model fits the MPQ data and that researchers engaged in the assessment of nor mal-range personality processes have much to gain from exploiting item response models. Index terms: item fit, item response theory, Multidimensional Per sonality Questionnaire, personality measurement, two-parametermodel.
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References
1.
Barton, M.A., & Lord, F.M. (1981). An upper asymptote for the three-parameter logistic item-response model (Research Bulletin 81-20). Princeton NJ: Educational Testing Service.
2.
Bejar, I.I. (1977). An application of the continuous response level model to personality measurement. Applied Psychological Measurement , 1, 509-521.
3.
Birnbaurn, A. (1968). Some latent trait models and their use in inferring an examinee's ability. In F. M. Lord & M. R. Novick, Statistical theories of mental test scores (pp. 397-472). Reading MA: Addison-Wesley.
4.
Bock, R.D. (1972). Estimating item parameters and latent ability when responses are scored in two or more nominal categories. Psychometrika, 37, 29-51.
5.
Bock, R.D., & Aitkin, M. (1981). Marginal maximum likelihood estimation of item parameters: An application of an EM algorithm. Psychometrika , 46, 443-459.
6.
Bock, R.D., & Lieberman, M. (1970). Fitting a response model for n dichotomously scored items. Psychometrika, 35, 179-197.
7.
Carter, J.E., & Wilkinson, L. (1985). A latent trait analysis of the MMPI. Multivariate Behavioral Research, 19, 385-407.
8.
de Jong-Gierveld, J., & Kamphuis, F. (1985). The development of a Rasch-type loneliness scale . Applied Psychological Measurement, 9, 289-299.
9.
Gangestad, S., & Snyder, M. (1985). To curve nature at its joints: On the existence of discrete classes in personality. Psychological Review, 92, 317-349.
10.
Hambleton, R.K., & Swaminathan, H. (1985). Item response theory: Principles and applications. Boston: Kluwer-Nijhoff .
11.
Hattie, J. (1985). Methodology review: Assessing uni-dimensionality of tests and items. Applied Psychological Measurement, 9, 139-164.
12.
Kingston, N.M., & Dorans, N.J. (1985). The analyses of item-ability regressions: An exploratory IRT model fit tool. Applied Psychological Measurement, 9, 281-288.
13.
Knowles, E.S. (1988). Item context effects in personality scales: Measuring changes the measure. Journal of Personality and Social Psychology , 55, 312-320.
14.
Lord, F.M. (1980). Applications of item response theory to practical testing problems. Hillsdale NJ: Erlbaum.
15.
Lord, F.M., & Novick, M.R. (1968). Statistical theories of mental test scores. Reading MA: Addison-Wesley.
16.
Maxwell, A.E. (1959). Maximum likelihood estimates of item parameters using the logistic function. Psychometrika, 24, 221-227.
17.
McBride, J.R. (1976). Bandwidth, fidelity and adaptive tests. In T. J. McConnell, Jr. (Ed.), CAT/C21975: The second conference on computer assisted test construction. Atlanta GA: Atlanta Public Schools.
18.
McKinley, R.L., & Mills, C.N. (1985). A comparison of several goodness-of-fit statistics . Applied Psychological Measurement, 9, 49-57.
19.
Mislevy, R.J., & Bock, R.D. (1982). Implementation of the EM algorithm in the estimation of item parameters: The BILOG computer program. In D. J. Weiss (Ed.), Proceedings of the 1982 Item Response Theory and Computerized Adaptive Testing Conference (pp. 189-202). Minneapolis: University of Minnesota, Department of Psychology, Computerized Adaptive Testing Laboratory.
20.
Mislevy, R.J., & Bock, R.D. (1986). BILOGI maximum likelihood item analysis and test scoring with binary logistic models [Computer program]. Mooresville IN: Scientific Software Inc.
21.
Mislevy, R.J., & Stocking, M.L. (1989). A consumer's guide to LOGIST and BILOG. Applied Psychological Measurement, 13, 57-76.
22.
Muthén, B. (1987). LISCOMP: Analysis of linear structural equations with a comprehensive measurement model [Computer program]. Mooresville IN: Scientific Software Inc.
23.
Rosenbaum, P.R. (1984). Testing the conditional independence and monotonicity assumptions of item response theory. Psychometrika, 49, 425-436.
24.
Sapinkopf, R.C. (1977). A computer adaptive testing approach to the measurement of personality variables. Unpublished doctoral dissertation, University of Maryland.
25.
Stocking, M.L. (1988). Specifying optimum examinees for item parameter estimation in item response theory (Report No. RR-88-57-ONR). Princeton NJ: Educational Testing Service.
26.
Stout, W. (1987). A nonparametric approach for assessing latent trait dimensionality. Psychometrika, 52, 589-618.
27.
Tellegen, A. (1982). A brief manual for the Multidimensional Personality Questionnaire. Unpublished manuscript, University of Minnesota .
28.
Tellegen, A., & Waller, N.G. (in press). Exploring personality through test construction: Development of the Multidimensional Personality Questionnaire. In S. R. Briggs & J. M. Cheek (Eds.), Personality measures: Development and evaluation (Vol. 1). Greenwich CT: JAI Press.
29.
Thissen, D.M. (1982). Marginal maximum likelihood estimation for the one-parameter logistic model. Psychometrika, 47, 175-186.
30.
Thissen, D., & Wainer, H. (1982). Some standard errors in item response theory. Psychometrika, 47, 397-412.
31.
Waller, N.G., & Reise, S.P. (1989). Computerized adaptive personality assessment: An illustration with the Absorption scale. Journal of Personality and Social Psychology, 57, 1051-1058.
32.
Wright, B.D., & Mead, R.J. (1977). BICAL: Calibrating items and scales with the Rasch model (Research Memorandum No. 23). Chicago IL: University of Chicago, Statistical Laboratory, Department of Education.
33.
Yen, W.M. (1981). Using simulation results to choose a latent trait model. Applied Psychological Measurement, 5, 245-262.
