Factor analytic approaches to personality item-level data

Emerging Issues and Methods in Personality Assessment

Volumn , Issue , 2013, Pages 339-367

  Panter, A T ^a   Swygert, Kimberly A ^a   Dahlstrom, W Grant ^a   Tanaka, J S ^b  

^a UNIVERSITY OF NORTH CAROLINA   (United States)

^b UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85069811434     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4324/9780203774618-26     Document Type: Chapter

References (76)

1. Bernstein, I. H., & Teng, G. (1989). Factoring items and factoring scales are different: Spurious evidence for multidimensionality due to item categorization. Psychological Builetin, 105,467-477.
2. Birenbaum. M. (1985). Comparing the effectiveness of several IRT based appropriateness measures in detecting unusual response patterns. Educational and Psychological Measurement, 45,523-533.
3. Birnbaum. A. (1968). Some latent trait models and their use in inferring an examinee’s ability. In F. M. Lord & M. R. Novick (Eds.), Statistical theories of mental test scores (pp. 392-479). Reading, MA: Addison-Wesley.
4. Bock. R. D. & Aitken, M. (1981). Marginal maximum likelihood estimation of item parameters: Application of an EM algorithm. Psychometrikn, 46, 443-459.
5. Bock. R. D. Gibbons, R.. & Muraki E. (1988). Full-information factor analysis. Applied Psychological Measurement, 12, 261-280.
6. Bock. R. D. & Lieberman. M. (1970). Fitting a response model for n dichotomously scored items. Psychometrikn, 35, 179-197.
7. Bollen. K. A. (1989). Structural equations with latent variables. New York: Wiley.
8. Browne. M. W. (1984). Asymptotically distribution-free methods for the analysis of covariance structures. British Journal of Mathematical and Statistical Psychology, 37, 62-83.
9. Butcher. I. N. Dahlstrom. W. G. Graham. I. R. Tellegen. A. & Kaemmer. B. (1989). Manualfor administration and scoring the Minnesota Multiphasic Personality Inventory-2: MMP/-2. Minneapolis: University of Minnesota Press.
10. Carter. J. E. & Wilkinson. L. (1984). A latent trait analysis of the MMPI. Multivariate Behavioral Research Monographs, 19, 385-407.
11. Childs. R. A. (1992). Applying item response theory to the analysis of educational test items with an external criterion. Unpublished doctoral dissertation. University of North Carolina at Chapel Hill.
12. Childs. R. A., Dahlstrom. W. G., Kemp. S. & Panter. A. T. (1992). Item response theory in personality assessment: The MMPI-2 Depression Scale [Report 92-1]. Chapel Hill: University of North Carolina, L. L. Thurstone Psychometric Laboratory.
13. Christoffersson. A. (1975). Factor analysis of dichotomized variables. Psychometrikn, 40,5-32.
14. Christoffersson. A. (1978). Two-step weighted least squares factor analysis of dichotomized variables. Psychometrika, 42, 433-438.
15. Comrey, A. L. (1978). Common methodological problems in factor analytic studies. Journal of Consulting and Clinical Psychology, 46, 648-659.
16. Comrey. A. L. (1988). Factor analytic methods of scale development in personality and clinical psychology. Journal of Consulting and Clinical Psychology, 56. 754-761.
17. Comrey. A. L.. & Lee. H. B. (1992). Aftrst course infactor analysis (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum Associates. Inc.
18. Dempster. A. P. Laird. N. M. & Rubin. D. B. (1977). Maximum likelihood from incomplete data via the EM algorithm (with discussion). Journal of the Royal Statistical Society, 39(Series B). 1-38.
19. Drasgow. F., Levine, M. V. & Williams. E. A. (1985). Appropriateness measurement with polychotomous item response models and standardized indices. British Journal of Mathematical and Statistical Psychology, 38, 67-86.
20. Ferguson. G. A. (1941). The factorial interpretation oftest difficulty. Psychometrikn, 6,323-329.
21. Gift. A. (1990). Nonlinear multivariate analysis. New York: Wiley.
22. Gorsuch. R. L. (1983). Factor analysis (2nd. ed.). Hillsdale. NJ: Lawrence Erlbaum Associates. Inc.
23. Green. B. F. Crone. C. R. & Folk, V. G. (1989). A method for studying differential distractor functioning. Journal of Educational Measurement, 26, 147-160.
24. Haertel. E. H. (1990). Continuous and discrete latent structure models for item response data. Psychometrikn, 55, 477-494.
25. Hambleton, R. K. (1989). Principles and selected applications of item response theory (pp. 147-2(0)). In R. L. Linn (Ed.), Educational measurement Ord. ed., pp. 147-2(0). New York: Macmillan.
26. Hambleton, R. K., Swaminathan, H., & Rogers, H. J. (1991). Fundamentals of item response theory. Newbury Park, CA: Sage.
27. Harman, H. H. (1976). Modern factor analysis (3rd. ed.). Chicago: University of Chicago Press.
28. Holland, P. W., & Wainer, H. (Eds.). (1993). Differential item functioning. Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.
29. Hoyle, R. H. (Ed.). (1995). Structural equation modeling: Issues and applications. Newbury Park, CA: Sage.
30. Jareskog, K. G. (1974). Analyzing psychological data by structural analysis of covariance matrices. In D. H. Krantz, R. C. Atkinson, R. D. Luce, & P. Suppes (Eds)., Contemporary developments in mathematical psychology (Vol. 2, pp. 1-56). San Francisco: Freeman.
31. Jareskog, K. G., & Sarbom, D. (1988a). LlSREL 7: A guide to the program and application. Mooresville, IN: Scientific Software.
32. Jareskog, K. G., & Sarbom, D. (1988b). PRELlS: A preprocessorofLlSREL. Mooresville, IN: Scientific Software.
33. Kessler, R., & Mroczek, D. (1994). Scoring the UM-C/D/short forms. Ann Arbor: University of Michigan, Institute for Social Research.
34. Kuhl, J. (1985). Volitional mediators of cognition-behavioral consistency: Self-regulatory processes and action versus state orientation. In J. Kuhl & J. Beckman (Eds.), Action control: From cognition to behavior (pp. 101-128). Berlin: Springer-Verlag.
35. Lee, S.-Y., Poon, W.-Y., & Bentler, P. M. (1989). Simultaneous analysis of multivariate polytomous variates in several groups. Psychometrika, 54, 63-73.
36. Lee, S.-Y., Poon, W.-Y., & Bentler, P. M. (1992). Structural equation models with continuous and polytomous variables. Psychometrika, 57, 89-105.
37. Levine, M. V., & Drasgow, F. (1982). Appropriateness measurement: Review, critique, and validating studies. British Journal of Mathematical and Statistical Psychology, 35, 42-56.
38. Lord, F. M. (1980). Applications of item response theory to practical testing problems. Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.
39. McDonald, R. P. (1967). Nonlinear factor analysis. Psychometric Monograph, 15.
40. McDonald, R. P., & Alawat, R. P. (1974). Difficulty factors in binary data. British Journal of Mathematical and Statistical Psychology, 27, 82-99.
41. Mislevy, R. J. (1986). Recent developments in the factor analysis of categorical variables. Journal of Educational Statistics, n, 3-31.
42. Mislevy, R. J., & Bock, R. D. (1986). BILOG I maximum likelihood item analysis and test scoring with binary logistic models [Computer programJ. Mooresville, IN: Scientific Software.
43. Mulaik, S. A. (1972). Thefoundations offactoranalysis. New York: McGraw-Hili.
44. Muthen, B. (1978). Contributions to factor analysis of dichotomous variables. Psychometrika, 43, 551-560.
45. Muthen, B. (1984). A general structural equation model with dichotomous, ordered categorical, and continuous latent variable indicators. Psychometrika, 49, 115-132.
46. Muthen, B. (1987). LlSCOMP user’s manual. Mooresville, IN: Scientific Software.
47. Muthen, B. (1988). Some uses of structural equation modeling in validity studies: Extending IRT to external variables. In H. Wainer & H. I. Braun (Eds.), Test validity (pp. 213-238). Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.
48. Muthen, B., & Hofacker, C. (1988). Testing the assumptions underlying tetrachoric correlations. Psychometrika, 53, 563-578.
49. MutMn, B., & Kaplan, D. (1985). A comparison of some methodologies for the factor analysis of non-normal Likert variables. British Journal of Mathematical and Statistical Psychology, 38, 171-189.
50. Muthen, B., & Kaplan, D. (1992). A comparison of some methodologies for the factor analysis of non-normal Likert variables: A note on the size of the model. British Journal of Mathematical and Statistical Psychology, 45, 19-30.
51. Muthen, B., & Lehman, J. (1985). Multiple group IRT modeling: Applications to item bias analysis. Journal of Educational Statistics, 10, 133-142.
52. Olsson, U. (1979). On the robustness of factor analysis against crude classification of the observations. Multivariate Behavioral Research. 14, 485-500.
53. Ozer, D. J., & Reise, S. P. (1994). Personality assessment. Annual Review of Psychology, 45, 357-388.
54. Panter, A. T., Tanaka, J. S., & Wellens, T. R. (1992). The psychometrics of order effects. In S. Sud man & N. Schwarz (Eds.), Context effects in social and psychological research (pp. 249-264). New York: Springer-Verlag.
55. Rasch, G. (1960). Probabilistic modelsfor some intelligence and attainment tests. Copenhagen: Danish Institute for Educational Research.
56. Reise, S. P., & Gomel, J. N. (1995). Modeling qualitative variation within latent trait dimensions: Application of mixed-measurement to personality assessment. Multivariate Behavioral Research, 30, 341-358.
57. Reise, S. P., & Waller, N. G. (1990). Fitting the two-parameter model to personality data. Applied Psychological Measurement, 14, 45-58.
58. Reise, S. P., & Waller, N. G. (1993). Traitedness and the assessment of response pattern scalability. Journal of Personality and Social Psychology, 65, 143-151.
59. Reise, S. P., Widaman, K. F., & Pugh, R. H. (1993). Confirmatory factor analysis and item response theory: Two approaches for exploring measurement in variance. Psychological Bulletin. 114. 552-566.
60. Reiser, M. (1989). An application of the item response model to psychiatric epidemiology. In C. C. Clogg (Ed.), Sociological methodology (pp. 66--103). Washington, DC: American Sociological Association.
61. Samejima. F. (1969). Estimation of latent ability using a response pattern of graded scores. Psychometrika Monograph, 34(No. 17).
62. Schaeffer, N. C. (1988). An application of the item response theory to the measurement of depression (pp. 271-307). In C. C. Clogg (Ed.), Sociological methodology. Washington, DC: American Sociological Association.
63. Spielberger, C. D., Gorsuch, R. L., & Lushene, R. E. (1979). Manualfor the STAt. Palo Alto, CA: Consulting Psychologists Press.
64. Steinberg, L. (1994). Context and serial-order effects in personality measurement: Limits on the generality of measuring changes the measure. Journal of Personality and Social Psychology. 66. 341-349.
65. Steinberg, L., & Thissen, D. (1995). Item response theory in personality research. In P. E. Shrout and S. Fiske (Eds.), Personality research. methods. and theory: Afestschrift honoring Donald W. Fiske (pp. 161-181). Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.
66. Swygert, K. S., Panter, A. T., Dahlstrom, W. G., & Reise, S. (1996). The use of appropriateness indices in the MMPI-2. Chapel Hill: University of North Carolina. L. L. Thurstone Psychometric Laboratory.
67. Takane, Y., & de Leeuw, J. (1987). On the relationship between item response theory and factor analysis of discretized variables. Psychometrika, 52, 393-408.
68. Tanaka, J. S., Panter, A. T., Winborne, W. c., & Huba, G. J. (1990). Theory testing in personality and social psychology with latent variable models. Review of Personality and Social Psychology, 11, 217-242.
69. Tenopyr, M. L. (1994). Big Five, structural modeling, and item response theory. In G. S. Stokes, M. D. Mumford, & W. A. Ownes (Eds.), Biodata handbook: Theory, research, and use of biographical information in selection and performance prediction (pp. 519-533). Palo Alto, CA: CPP Books.
70. Thissen, D. (1991). MULTILOG [Computer program]. Mooresville, IN: Scientific Software.
71. Thissen, D. (1992, August). Item response theory in psychological research. Invited address at the meeting of the American Psychological Association, Washington, DC.
72. Thissen, D., Steinberg, L., & Gerrard, M. (1986). Beyond group-mean differences: The concept of item bias. P.rychological Bulletin, 99, 118-128.
73. Wainer, H., & Kiely, G. L. (1987). Item clusters and computerized adaptive testing: A case for testlets. Journal of Educational Measurement, 24, 185-201.
74. Waller, N. G. (1993). Seven confirmatory factor analysis programs: EQS, EzPATH, L1NCS, L1SCOMP, L1SREL 7, SIMPLlS, and CALIS. Applied Psychological Measurement, 17, 73-100.
75. 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.
76. Wilson, D. T., Wood, R., & Gibbons, R. (1991). TESTFACT computer manual. Chicago: Scientific Software.