메뉴 건너뛰기




Volumn 68, Issue 4, 2008, Pages 587-602

Comparison of multiple-indicators, multiple-causes- and item response theory-based analyses of subgroup differences

Author keywords

Effect size; Item response theory; Structural equation modeling

Indexed keywords


EID: 47749135845     PISSN: 00131644     EISSN: 15523888     Source Type: Journal    
DOI: 10.1177/0013164407312601     Document Type: Article
Times cited : (15)

References (19)
  • 1
    • 34147168651 scopus 로고
    • Testing for the equivalence of factor covariance and mean structure
    • Byrne, B.M., Shavelson, R.J., & Muthn, B. (1989). Testing for the equivalence of factor covariance and mean structure. Psychological Bulletin, 105, 456-466.
    • (1989) Psychological Bulletin , vol.105 , pp. 456-466
    • Byrne, B.M.1    Shavelson, R.J.2    Muthn, B.3
  • 2
    • 0035529235 scopus 로고    scopus 로고
    • Group differences based on IRT scores: Does the model matter
    • DeMars, C. (2001). Group differences based on IRT scores: Does the model matter ? Educational and Psychological Measurement, 61, 60-70.
    • (2001) Educational and Psychological Measurement , vol.61 , pp. 60-70
    • Demars, C.1
  • 3
    • 0032376367 scopus 로고    scopus 로고
    • Item response theory and classical test theory: An empirical comparison of their item/ person statistics
    • Fan, X. (1998). Item response theory and classical test theory: An empirical comparison of their item/ person statistics. Educational and Psychological Measurement, 58, 357-381.
    • (1998) Educational and Psychological Measurement , vol.58 , pp. 357-381
    • Fan, X.1
  • 4
    • 22144493848 scopus 로고    scopus 로고
    • The MIMIC model as a method for detecting DIF: Comparison with Mantel-Haenszel, SIBTEST, and the IRT likelihood ratio
    • Finch, H. (2005). The MIMIC model as a method for detecting DIF: Comparison with Mantel-Haenszel, SIBTEST, and the IRT likelihood ratio. Applied Psychological Measurement, 29, 278-295.
    • (2005) Applied Psychological Measurement , vol.29 , pp. 278-295
    • Finch, H.1
  • 5
    • 0041497541 scopus 로고    scopus 로고
    • Type i error and power of latent mean methods and MANOVA in factorially invariant and noninvariant latent variable systems
    • Hancock, G.R., Lawrence, F.R., & Nevitt, J. (2000). Type I error and power of latent mean methods and MANOVA in factorially invariant and noninvariant latent variable systems. Structural Equation Modeling, 7, 534-556.
    • (2000) Structural Equation Modeling , vol.7 , pp. 534-556
    • Hancock, G.R.1    Lawrence, F.R.2    Nevitt, J.3
  • 6
    • 0000804180 scopus 로고
    • Simultaneous factor analysis in several populations
    • Jreskog, K.G. (1971). Simultaneous factor analysis in several populations. Psychometrika, 36, 409-426.
    • (1971) Psychometrika , vol.36 , pp. 409-426
    • Jreskog, K.G.1
  • 7
    • 0000270024 scopus 로고
    • Estimation of a model with multiple indicators and multiple causes of a single latent variable
    • Jreskog, K.G., & Goldberger, A.S. (1975). Estimation of a model with multiple indicators and multiple causes of a single latent variable. Journal of the American Statistical Association, 70, 631-639.
    • (1975) Journal of the American Statistical Association , vol.70 , pp. 631-639
    • Jreskog, K.G.1    Goldberger, A.S.2
  • 8
    • 84970332013 scopus 로고
    • Linear versus nonlinear models in item response theory
    • McDonald, R.P. (1982). Linear versus nonlinear models in item response theory. Applied Psychological Measurement, 6, 379-396.
    • (1982) Applied Psychological Measurement , vol.6 , pp. 379-396
    • McDonald, R.P.1
  • 9
    • 0002974773 scopus 로고
    • Recent developments in the factor analysis of categorical variables
    • Mislevy, R.J. (1986). Recent developments in the factor analysis of categorical variables. Journal of Educational Statistics, 11, 3-31.
    • (1986) Journal of Educational Statistics , vol.11 , pp. 3-31
    • Mislevy, R.J.1
  • 11
    • 0001391849 scopus 로고
    • A general structural equation model with dichotomous, ordered, categorical and continuous latent variable indicators
    • Muthn, B.O. (1984). A general structural equation model with dichotomous, ordered, categorical and continuous latent variable indicators. Psychometrika, 49, 115-132.
    • (1984) Psychometrika , vol.49 , pp. 115-132
    • Muthn, B.O.1
  • 12
    • 0001411838 scopus 로고
    • Latent variable modeling in heterogeneous populations
    • Muthn, B.O. (1989). Latent variable modeling in heterogeneous populations. Psychometrika, 54, 557-585.
    • (1989) Psychometrika , vol.54 , pp. 557-585
    • Muthn, B.O.1
  • 13
    • 84988099646 scopus 로고
    • Instructionally sensitive psychometrics: Application of a new IRT-based detection technique to mathematics achievement test items
    • Muthn, B.O., Kao, C., & Burstein, L. (1991). Instructionally sensitive psychometrics: Application of a new IRT-based detection technique to mathematics achievement test items. Journal of Educational Measurement, 28, 1-22.
    • (1991) Journal of Educational Measurement , vol.28 , pp. 1-22
    • Muthn, B.O.1    Kao, C.2    Burstein, L.3
  • 17
    • 85004788542 scopus 로고
    • A general method for studying differences in factor means and factor structure between groups
    • Srbom, D. (1974). A general method for studying differences in factor means and factor structure between groups. British Journal of Mathematical and Statistical Psychology, 27, 229-239.
    • (1974) British Journal of Mathematical and Statistical Psychology , vol.27 , pp. 229-239
    • Srbom, D.1
  • 18
    • 46649093679 scopus 로고
    • On the relationship between item response theory and factor analysis of discretized variables
    • Takane, Y., & de Leew, J. (1987). On the relationship between item response theory and factor analysis of discretized variables. Psychometrika, 66, 507-514.
    • (1987) Psychometrika , vol.66 , pp. 507-514
    • Takane, Y.1    De Leew, J.2
  • 19
    • 84996149945 scopus 로고    scopus 로고
    • What future quantitative social science research could look like: Confidence intervals for effect sizes
    • Thompson, B. (2002). What future quantitative social science research could look like: Confidence intervals for effect sizes. Educational Researcher, 31 (3). 25-32.
    • (2002) Educational Researcher , vol.31 , Issue.3 , pp. 25-32
    • Thompson, B.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.