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Volumn 19, Issue 4, 2012, Pages 561-579

Measurement Bias Detection Through Factor Analysis

Author keywords

factor analysis; latent moderated structures; measurement invariance; nonuniform measurement bias; random slope parameterization

Indexed keywords

DETECTION METHODS; ITERATIVE PROCEDURES; MEASUREMENT BIAS; MULTI-GROUP; SIMULATION STUDIES;

EID: 84868280002     PISSN: 10705511     EISSN: None     Source Type: Journal    
DOI: 10.1080/10705511.2012.713261     Document Type: Article
Times cited : (27)

References (27)
  • 2
    • 77953916712 scopus 로고    scopus 로고
    • Using restricted factor analysis with latent moderated structures to detect uniform and nonuniform measurement bias: A simulation study
    • Barendse, M. T., Oort, F. J. and Garst, G. J. A. 2010. Using restricted factor analysis with latent moderated structures to detect uniform and nonuniform measurement bias: A simulation study. Advances in Statistical Analysis, 94: 117-127.
    • (2010) Advances in Statistical Analysis , vol.94 , pp. 117-127
    • Barendse, M.T.1    Oort, F.J.2    Garst, G.J.A.3
  • 4
    • 33745711644 scopus 로고    scopus 로고
    • Power and Type I error of the mean and covariance structure analysis model for detecting differential item functioning in graded response items
    • González-Romá, V., Hernández, A. and Gómez-Benito, J. 2006. Power and Type I error of the mean and covariance structure analysis model for detecting differential item functioning in graded response items. Multivariate Behavioral Research, 41: 29-53.
    • (2006) Multivariate Behavioral Research , vol.41 , pp. 29-53
    • González-Romá, V.1    Hernández, A.2    Gómez-Benito, J.3
  • 5
    • 12844259835 scopus 로고    scopus 로고
    • Evaluating the multiple-group mean and covariance structure model for the detection of differential item functioning in polytomous ordered items
    • Hernández, A. and González-Romá, V. 2003. Evaluating the multiple-group mean and covariance structure model for the detection of differential item functioning in polytomous ordered items. Psicothema, 15: 322-327.
    • (2003) Psicothema , vol.15 , pp. 322-327
    • Hernández, A.1    González-Romá, V.2
  • 6
    • 79960674608 scopus 로고    scopus 로고
    • Waterloo, Canada: University of Western Ontario. Unpublished manuscript, Waterloo
    • Klein, A. G. 2007. QuasiML 3.10-Quick reference manual. Waterloo, Canada: University of Western Ontario. Unpublished manuscript
    • (2007) QuasiML 3.10-Quick reference manual.
    • Klein, A.G.1
  • 7
    • 0034559665 scopus 로고    scopus 로고
    • Maximum likelihood estimation of latent interaction effects with the LMS method
    • Klein, A. G. and Moosbrugger, H. 2000. Maximum likelihood estimation of latent interaction effects with the LMS method. Psychometrika, 65: 457-474.
    • (2000) Psychometrika , vol.65 , pp. 457-474
    • Klein, A.G.1    Moosbrugger, H.2
  • 8
    • 54949124739 scopus 로고    scopus 로고
    • Quasi maximum likelihood estimation of structural equation models with multiple interaction and quadratic effects
    • Klein, A. G. and Muthén, B. O. 2007. Quasi maximum likelihood estimation of structural equation models with multiple interaction and quadratic effects. Multivariate Behavioral Research, 42: 647-673.
    • (2007) Multivariate Behavioral Research , vol.42 , pp. 647-673
    • Klein, A.G.1    Muthén, B.O.2
  • 10
    • 2642549077 scopus 로고    scopus 로고
    • A Monte Carlo study of confirmatory factor analytic tests of measurement equivalence/invariance
    • Meade, A. W. and Lautenschlager, G. J. 2004. A Monte Carlo study of confirmatory factor analytic tests of measurement equivalence/invariance. Structural Equation Modeling, 11: 60-72.
    • (2004) Structural Equation Modeling , vol.11 , pp. 60-72
    • Meade, A.W.1    Lautenschlager, G.J.2
  • 12
    • 34147110831 scopus 로고
    • Measurement invariance, factor analysis and factorial invariance
    • Meredith, W. 1993. Measurement invariance, factor analysis and factorial invariance. Psychometrika, 58: 525-543.
    • (1993) Psychometrika , vol.58 , pp. 525-543
    • Meredith, W.1
  • 13
    • 77953913354 scopus 로고    scopus 로고
    • Testing multiple nonlinear effects in structural equation modelling: A comparison of alternative estimation approaches
    • In: Teo T., Khine M. S., editors Rotterdam, Netherlands: Sense Publishers. Rotterdam
    • Moosbrugger, H., Schermelleh-Engel, K., Kelava, A. and Klein, A. G. 2009. "Testing multiple nonlinear effects in structural equation modelling: A comparison of alternative estimation approaches.". In Structural equation modeling in educational research: Concepts and applications Edited by: Teo, T. and Khine, M. S. 103-136. Rotterdam, Netherlands: Sense Publishers.
    • (2009) Structural equation modeling in educational research: Concepts and applications , pp. 103-136
    • Moosbrugger, H.1    Schermelleh-Engel, K.2    Kelava, A.3    Klein, A.G.4
  • 14
    • 0001411838 scopus 로고
    • Latent variable modeling in heterogeneous populations
    • Muthén, B. O. 1989. Latent variable modeling in heterogeneous populations. Psychometrika, 54: 557-585.
    • (1989) Psychometrika , vol.54 , pp. 557-585
    • Muthén, B.O.1
  • 18
    • 0002188601 scopus 로고
    • Theory of violators: Assessing unidimensionality of psychological measures
    • In: Steyer R., Wender K. F., Widaman K. F., editors Stuttgart, Germany: Gustav Fischer. Stuttgart
    • Oort, F. J. 1991. "Theory of violators: Assessing unidimensionality of psychological measures.". In Psychometric methodology Edited by: Steyer, R., Wender, K. F. and Widaman, K. F. 377-381. Stuttgart, Germany: Gustav Fischer.
    • (1991) Psychometric methodology , pp. 377-381
    • Oort, F.J.1
  • 19
    • 84933493102 scopus 로고
    • Using restricted factor analysis to detect item bias
    • Oort, F. J. 1992. Using restricted factor analysis to detect item bias. Methodika, 6: 150-166.
    • (1992) Methodika , vol.6 , pp. 150-166
    • Oort, F.J.1
  • 20
    • 0040197423 scopus 로고    scopus 로고
    • Simulation study of item bias detection with restricted factor analysis
    • Oort, F. J. 1998. Simulation study of item bias detection with restricted factor analysis. Structural Equation Modeling, 5: 107-124.
    • (1998) Structural Equation Modeling , vol.5 , pp. 107-124
    • Oort, F.J.1
  • 21
    • 0035543521 scopus 로고    scopus 로고
    • A scaled difference chi-square test statistic for moment structure analysis
    • Satorra, A. and Bentler, P. M. 2001. A scaled difference chi-square test statistic for moment structure analysis. Psychometrika, 66: 507-514.
    • (2001) Psychometrika , vol.66 , pp. 507-514
    • Satorra, A.1    Bentler, P.M.2
  • 22
    • 77953688621 scopus 로고    scopus 로고
    • Ensuring positiveness of the scaled difference chi-square test statistic
    • Satorra, A. and Bentler, P. M. 2010. Ensuring positiveness of the scaled difference chi-square test statistic. Psychometrika, 75: 243-248.
    • (2010) Psychometrika , vol.75 , pp. 243-248
    • Satorra, A.1    Bentler, P.M.2
  • 24
    • 53849136227 scopus 로고    scopus 로고
    • Measurement invariance: Review of practice and implications
    • Schmitt, N. and Kuljanin, G. 2008. Measurement invariance: Review of practice and implications. Human Resource Management Review, 18: 210-222.
    • (2008) Human Resource Management Review , vol.18 , pp. 210-222
    • Schmitt, N.1    Kuljanin, G.2
  • 25
    • 0002329579 scopus 로고    scopus 로고
    • A review and synthesis of the measurement invariance literature: Suggestions, practices and recommendations for organizational research
    • Vandenberg, R. J. and Lance, C. E. 2000. A review and synthesis of the measurement invariance literature: Suggestions, practices and recommendations for organizational research. Organizational Research Methods, 3: 4-70.
    • (2000) Organizational Research Methods , vol.3 , pp. 4-70
    • Vandenberg, R.J.1    Lance, C.E.2
  • 26
    • 79959254279 scopus 로고    scopus 로고
    • Testing for nonuniform differential item functioning with multiple indicator multiple cause models
    • Woods, C. M. and Grimm, K. J. 2011. Testing for nonuniform differential item functioning with multiple indicator multiple cause models. Applied Psychological Measurement, 35: 536-556.
    • (2011) Applied Psychological Measurement , vol.35 , pp. 536-556
    • Woods, C.M.1    Grimm, K.J.2
  • 27
    • 0034555721 scopus 로고    scopus 로고
    • Three likelihood-based methods for mean and covariance structure analysis with nonnormal missing data
    • In: Sobel M. E., Becker M. P., editors Washington, DC: ASA. Washington, DC
    • Yuan, K. H. and Bentler, P. M. 2000. "Three likelihood-based methods for mean and covariance structure analysis with nonnormal missing data.". In Sociological methodology 2000 Edited by: Sobel, M. E. and Becker, M. P. 165-200. Washington, DC: ASA.
    • (2000) Sociological methodology 2000 , pp. 165-200
    • Yuan, K.H.1    Bentler, P.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.