메뉴 건너뛰기




Volumn 3, Issue MAR, 2012, Pages

Old and new ideas for data screening and assumption testing for exploratory and confirmatory factor analysis

Author keywords

Confirmatory factor analysis; Exploratory factor analysis; Item factor analysis; Structural equation

Indexed keywords


EID: 84867053350     PISSN: None     EISSN: 16641078     Source Type: Journal    
DOI: 10.3389/fpsyg.2012.00055     Document Type: Review
Times cited : (165)

References (58)
  • 1
    • 70449569093 scopus 로고    scopus 로고
    • Exploratory structural equation modeling
    • Asparouhov, T., and Muthén, B. (2009). Exploratory structural equation modeling. Struct. Equ. Modeling 16, 397-438.
    • (2009) Struct. Equ. Modeling , vol.16 , pp. 397-438
    • Asparouhov, T.1    Muthén, B.2
  • 2
    • 0001029742 scopus 로고
    • The sensitivity of confirmatory maximum likelihood factor analysis to violations of measurement scale and distributional assumptions
    • Babakus, E., Ferguson, C. E., and Joreskög, K. G. (1987). The sensitivity of confirmatory maximum likelihood factor analysis to violations of measurement scale and distributional assumptions. J. Mark. Res. 37, 72-141.
    • (1987) J. Mark. Res. , vol.37 , pp. 72-141
    • Babakus, E.1    Ferguson, C.E.2    Joreskög, K.G.3
  • 3
    • 84925813384 scopus 로고    scopus 로고
    • Three faces of factor analysis
    • eds R. Cudeck and R. C. MacCallum (Mahwah, NJ: Lawrence Erlbaum Associates)
    • Bartholomew, D. J. (2007). "Three faces of factor analysis," in Factor Analy- sis at 100: Historical Developments and Future Directions, eds R. Cudeck and R. C. MacCallum (Mahwah, NJ: Lawrence Erlbaum Associates), 9-21.
    • (2007) Factor Analy- sis at 100: Historical Developments and Future Directions , pp. 9-21
    • Bartholomew, D.J.1
  • 6
    • 36248985687 scopus 로고    scopus 로고
    • Can scientifically useful hypotheses be tested with correlations?
    • Bentler, P. M. (2007). Can scientifically useful hypotheses be tested with correlations? Am. Psychol. 62, 772-782.
    • (2007) Am. Psychol , vol.62 , pp. 772-782
    • Bentler, P.M.1
  • 7
    • 84886325048 scopus 로고    scopus 로고
    • Analysis of correlation structures: current status and open problems
    • eds S. Kolenikov, D. Steinley, and L. Thombs, (Hoboken, NJ: Wiley)
    • Bentler, P. M., and Savalei, V. (2010). "Analysis of correlation structures: current status and open problems," in Statistics in the Social Sci- ences: Current Methodological Devel- opments, eds S. Kolenikov, D. Steinley, and L. Thombs, (Hoboken, NJ: Wiley), 1-36.
    • (2010) Statistics in the Social Sci- ences: Current Methodological Devel- opments , pp. 1-36
    • Bentler, P.M.1    Savalei, V.2
  • 8
    • 58149373040 scopus 로고
    • Factoring items and factoring scales are different: spurious evidence for multidimensionality due to item categorization
    • Bernstein, I. H., and Teng, G. (1989). Factoring items and factoring scales are different: spurious evidence for multidimensionality due to item categorization. Psychol. Bull. 105, 467-477
    • (1989) Psychol. Bull. , vol.105 , pp. 467-477
    • Bernstein, I.H.1    Teng, G.2
  • 10
    • 84970491150 scopus 로고
    • Outliers and improper solutions: a confirmatory factor analysis example
    • Bollen, K. A. (1987). Outliers and improper solutions: a confirmatory factor analysis example. Sociol. Methods Res. 15, 375-384.
    • (1987) Sociol. Methods Res. , vol.15 , pp. 375-384
    • Bollen, K.A.1
  • 12
    • 84928833187 scopus 로고
    • Observational residuals in factor analysis and structural equation models
    • Bollen, K. A., and Arminger, G. (1991). Observational residuals in factor analysis and structural equation models. Sociol. Methodol. 21, 235-262.
    • (1991) Sociol. Methodol. , vol.21 , pp. 235-262
    • Bollen, K.A.1    Arminger, G.2
  • 13
    • 0037279420 scopus 로고    scopus 로고
    • Recovery of weak common factors by maximum likelihood and ordinary least squares estimation
    • Briggs, N. E., and MacCallum, R. C. (2003). Recovery of weak common factors by maximum likelihood and ordinary least squares estimation. Multivariate Behav. Res. 38, 25-56.
    • (2003) Multivariate Behav. Res. , vol.38 , pp. 25-56
    • Briggs, N.E.1    MacCallum, R.C.2
  • 15
    • 0002033084 scopus 로고
    • Local influence in structural equation models
    • Cadigan, N. G. (1995). Local influence in structural equation models. Struct. Equ. Modeling 2, 13-30.
    • (1995) Struct. Equ. Modeling , vol.2 , pp. 13-30
    • Cadigan, N.G.1
  • 16
    • 0000534626 scopus 로고
    • Analysis of correlation matrices using covariance structure models
    • Cudeck, R. (1989). Analysis of correlation matrices using covariance structure models. Psychol. Bull. 105, 317-327.
    • (1989) Psychol. Bull. , vol.105 , pp. 317-327
    • Cudeck, R.1
  • 17
    • 0028439090 scopus 로고
    • Applications of standard error estimates in unrestricted factor analysis: significance tests for factor loadings and correlations
    • Cudeck, R., and O'Dell, L. L. (1994). Applications of standard error estimates in unrestricted factor analysis: significance tests for factor loadings and correlations. Psychol. Bull. 115, 475-487.
    • (1994) Psychol. Bull. , vol.115 , pp. 475-487
    • Cudeck, R.1    O'Dell, L.L.2
  • 18
    • 85004857877 scopus 로고
    • Factor analysis of variables with 2, 3, 5 and 7 response categories: a comparison of categorical variable estimators using simulated data
    • Dolan, C. V. (1994). Factor analysis of variables with 2, 3, 5 and 7 response categories: a comparison of categorical variable estimators using simulated data. Br. J. Math. Stat. Psychol. 47, 309-326.
    • (1994) Br. J. Math. Stat. Psychol. , vol.47 , pp. 309-326
    • Dolan, C.V.1
  • 19
    • 0001053664 scopus 로고
    • The factorial interpretation of test difficulty
    • Ferguson, G. A. (1941). The factorial interpretation of test difficulty. Psychometrika 6, 323-329.
    • (1941) Psychometrika , vol.6 , pp. 323-329
    • Ferguson, G.A.1
  • 20
    • 33748994575 scopus 로고    scopus 로고
    • Non-normal and categorical data in structural equation modeling
    • eds G. R. Hancock and R. O. Mueller (Greenwich, CT: Information Age Publishing)
    • Finney, S. J., and DiStefano, C. (2006). "Non-normal and categorical data in structural equation modeling," in Structural Equation Modeling: A Second Course, eds G. R. Hancock and R. O. Mueller (Greenwich, CT: Information Age Publishing), 269-314.
    • (2006) Structural Equation Modeling: A Second Course , pp. 269-314
    • Finney, S.J.1    DiStefano, C.2
  • 21
    • 10844245499 scopus 로고    scopus 로고
    • An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data
    • Flora, D. B., and Curran, P. J. (2004). An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. Psychol. Methods 9, 466-491
    • (2004) Psychol. Methods , vol.9 , pp. 466-491
    • Flora, D.B.1    Curran, P.J.2
  • 22
    • 70249116454 scopus 로고    scopus 로고
    • Estimation of IRT graded models for rating data: limited vs. full information methods
    • Forero, C. G., and Maydeu-Olivares, A. (2009). Estimation of IRT graded models for rating data: limited vs. full information methods. Psychol. Methods 14, 275-299.
    • (2009) Psychol. Methods , vol.14 , pp. 275-299
    • Forero, C.G.1    Maydeu-Olivares, A.2
  • 23
    • 78650468393 scopus 로고    scopus 로고
    • Factor analysis with ordinal indicators: a Monte Carlo study comparing DWLS and ULS estimation
    • Forero, C. G., Maydeu-Olivares, A., and Gallardo-Pujol, D. (2009). Factor analysis with ordinal indicators: a Monte Carlo study comparing DWLS and ULS estimation. Struct. Equ. Modeling 16, 625-641.
    • (2009) Struct. Equ. Modeling , vol.16 , pp. 625-641
    • Forero, C.G.1    Maydeu-Olivares, A.2    Gallardo-Pujol, D.3
  • 26
    • 84867088967 scopus 로고
    • 2nd Edn. Hillsdale, NJ: Lawrence Erlbaum Associates.
    • Gorsuch, R. L. (1983). Factor Analy- sis, 2nd Edn. Hillsdale, NJ: Lawrence Erlbaum Associates.
    • (1983) Factor Analy- sis
    • Gorsuch, R.L.1
  • 27
    • 0001984093 scopus 로고    scopus 로고
    • Effect of the number of scale points on chi-square fit indices in confirmatory factor analysis
    • Green, S. B., Akey, T. M., Fleming, K. K., Hershberger, S. L., and Marquis, J. G. (1997). Effect of the number of scale points on chi-square fit indices in confirmatory factor analysis. Struct. Equ. Modeling 4, 108-120.
    • (1997) Struct. Equ. Modeling , vol.4 , pp. 108-120
    • Green, S.B.1    Akey, T.M.2    Fleming, K.K.3    Hershberger, S.L.4    Marquis, J.G.5
  • 28
    • 0003406531 scopus 로고
    • Chicago, IL: University of Chicago Press.
    • Harman, H. H. (1960). Modern Factor Analysis. Chicago, IL: University of Chicago Press.
    • (1960) Modern Factor Analysis
    • Harman, H.H.1
  • 29
    • 34250481868 scopus 로고
    • A general approach to confirmatory maximum likelihood factor analysis
    • Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psy- chometrika 34, 183-202.
    • (1969) Psy- chometrika , vol.34 , pp. 183-202
    • Jöreskog, K.G.1
  • 31
    • 0030493184 scopus 로고    scopus 로고
    • Sensitivity analysis of structural equation models
    • Lee, S.-Y., and Wang, S. J. (1996). Sensitivity analysis of structural equation models. Psychometrika 61, 93-108.
    • (1996) Psychometrika , vol.61 , pp. 93-108
    • Lee, S.-Y.1    Wang, S.J.2
  • 32
    • 0037502887 scopus 로고    scopus 로고
    • Working with imperfect models
    • MacCallum, R. C. (2003). Working with imperfect models. Multivariate Behav. Res. 38, 113-139.
    • (2003) Multivariate Behav. Res. , vol.38 , pp. 113-139
    • MacCallum, R.C.1
  • 33
    • 84867062321 scopus 로고    scopus 로고
    • MacCallum, R. C. (2009)."Factor analysis
    • eds R. E. Millsap and A. Maydeu-Olivares (Thousand Oaks, CA: SAGE Publications)
    • MacCallum, R. C. (2009)."Factor analysis,"in The SAGE Handbook of Quan- titative Methods in Psychology, eds R. E. Millsap and A. Maydeu-Olivares (Thousand Oaks, CA: SAGE Publications), 123-147.
    • The SAGE Handbook of Quan- titative Methods in Psychology , pp. 123-147
  • 36
    • 51749106981 scopus 로고    scopus 로고
    • Detecting outliers in factor analysis using the forward search algorithm
    • Mavridis, D., and Moustaki, I. (2008). Detecting outliers in factor analysis using the forward search algorithm. Multivariate Behav. Res. 43, 453-475. Muthén, B. (1978). Contributions to factor analysis of dichotomous variables. Psychometrika 43, 551-560.
    • (2008) Multivariate Behav. Res. , vol.43 , pp. 453-475
    • Mavridis, D.1    Moustaki, I.2
  • 37
    • 34250282002 scopus 로고
    • Contributions to factor analysis of dichotomous variables
    • Muthén, B. (1978). Contributions to factor analysis of dichotomous variables. Psychometrika, 43, 551-560
    • (1978) Psychometrika , vol.43 , pp. 551-560
    • Muthén, B.1
  • 38
    • 85004907578 scopus 로고
    • A comparison of some methodologies for the factor-analysis of nonnormal Likert variables
    • Muthén, B., and Kaplan, D. (1985). A comparison of some methodologies for the factor-analysis of nonnormal Likert variables. Br. J. Math. Stat. Psychol. 38, 171-180.
    • (1985) Br. J. Math. Stat. Psychol. , vol.38 , pp. 171-180
    • Muthén, B.1    Kaplan, D.2
  • 39
    • 85004908574 scopus 로고
    • A comparison of some methodologies for the factor-analysis of nonnormal Likert variables: a note on the size of the model
    • Muthén, B., and Kaplan, D. (1992). A comparison of some methodologies for the factor-analysis of nonnormal Likert variables: a note on the size of the model. Br. J. Math. Stat. Psychol. 45, 19-30.
    • (1992) Br. J. Math. Stat. Psychol. , vol.45 , pp. 19-30
    • Muthén, B.1    Kaplan, D.2
  • 40
    • 0003753978 scopus 로고    scopus 로고
    • 6th Edn. Los Angeles, CA: Muthén & Muthén.
    • Muthén, L., and Muthén, B. (2010). Mplus User's Guide, 6th Edn. Los Angeles, CA: Muthén & Muthén.
    • (2010) Mplus User's Guide
    • Muthén, L.1    Muthén, B.2
  • 42
    • 0000541399 scopus 로고
    • Maximum likelihood estimation of the polychoric correlation coefficient
    • Olsson, U. (1979). Maximum likelihood estimation of the polychoric correlation coefficient. Psychometrika 44, 443-460.
    • (1979) Psychometrika , vol.44 , pp. 443-460
    • Olsson, U.1
  • 43
    • 79957609728 scopus 로고    scopus 로고
    • Sensitivity analysis in structural equation models: cases and their influence
    • Pek, J., and MacCallum, R. C. (2011). Sensitivity analysis in structural equation models: cases and their influence. Multivariate Behav. Res. 46, 202-228.
    • (2011) Multivariate Behav. Res. , vol.46 , pp. 202-228
    • Pek, J.1    MacCallum, R.C.2
  • 45
    • 3042847012 scopus 로고    scopus 로고
    • A forward search procedure for identifying influential observations in the estimation of a covariance matrix
    • Poon, W.-Y., and Wong, Y.-K. (2004). A forward search procedure for identifying influential observations in the estimation of a covariance matrix. Struct. Equ. Modeling 11, 357-374.
    • (2004) Struct. Equ. Modeling , vol.11 , pp. 357-374
    • Poon, W.-Y.1    Wong, Y.-K.2
  • 46
    • 0000619128 scopus 로고
    • Tests for specification errors in classical linear least squares regression analysis
    • Ramsey, J. B. (1969). Tests for specification errors in classical linear least squares regression analysis. J. R. Stat. Soc. Series B 31, 350-371.
    • (1969) J. R. Stat. Soc. Series B , vol.31 , pp. 350-371
    • Ramsey, J.B.1
  • 47
    • 74049152809 scopus 로고    scopus 로고
    • The epistemology of mathematical and statistical modeling: a quiet methodological revolution
    • Rodgers, J. L. (2010). The epistemology of mathematical and statistical modeling: a quiet methodological revolution. Am. Psychol. 65, 1-12.
    • (2010) Am. Psychol. , vol.65 , pp. 1-12
    • Rodgers, J.L.1
  • 48
    • 0003217529 scopus 로고
    • Corrections to test statistics and standard errors in covariance structure analysis
    • eds A. von Eye and C. C. Clogg (Thousand Oaks, CA: SAGE Publications)
    • Satorra, A., and Bentler, P. M. (1994). "Corrections to test statistics and standard errors in covariance structure analysis," in Latent Variables Analysis: Applications for Develop- mental Research, eds A. von Eye and C. C. Clogg (Thousand Oaks, CA: SAGE Publications), 399-419.
    • (1994) Latent Variables Analysis: Applications for Develop- mental Research , pp. 399-419
    • Satorra, A.1    Bentler, P.M.2
  • 49
    • 79957863324 scopus 로고    scopus 로고
    • What to do about zero frequency cells when estimating polychoric correlations
    • Savalei, V. (2011). What to do about zero frequency cells when estimating polychoric correlations. Struct. Equ. Modeling 18, 253-273
    • (2011) Struct. Equ. Modeling , vol.18 , pp. 253-273
    • Savalei, V.1
  • 50
    • 0000600340 scopus 로고
    • General intelligence objectively determined and measured
    • 5
    • Spearman, C. (1904). General intelligence objectively determined and measured.Am.J.Psychol.5, 201-293.
    • (1904) Am.J.Psychol. , pp. 201-293
    • Spearman, C.1
  • 53
    • 0002367816 scopus 로고
    • Structural equation models with non-normal variables: problems and remedies
    • ed. R. H. Hoyle (Thousand Oaks, CA: SAGE Publications)
    • West, S. G., Finch, J. F., and Curran, P. J. (1995). "Structural equation models with non-normal variables: problems and remedies," in Structural Equation Modeling: Concepts, Issues, and Applica- tions, ed. R. H. Hoyle (Thousand Oaks, CA: SAGE Publications), 56-75.
    • (1995) Structural Equation Modeling: Concepts, Issues, and Applica- tions , pp. 56-75
    • West, S.G.1    Finch, J.F.2    Curran, P.J.3
  • 54
    • 34247192112 scopus 로고    scopus 로고
    • Item factor analysis: current approaches and future directions
    • Wirth, R. J., and Edwards, M. C. (2007). Item factor analysis: current approaches and future directions. Psychol. Methods 12, 58-79
    • (2007) Psychol. Methods , vol.12 , pp. 58-79
    • Wirth, R.J.1    Edwards, M.C.2
  • 55
    • 77954442639 scopus 로고    scopus 로고
    • Confirmatory factor analysis of ordinal variables with misspecified models
    • Yang-Wallentin, F., Jöreskog, K. G., and Luo, H. (2010). Confirmatory factor analysis of ordinal variables with misspecified models. Struct. Equ. Modeling 17, 392-423.
    • (2010) Struct. Equ. Modeling , vol.17 , pp. 392-423
    • Yang-Wallentin, F.1    Jöreskog, K.G.2    Luo, H.3
  • 56
    • 0032263957 scopus 로고    scopus 로고
    • Structural equation modeling with robust covariances
    • Yuan, K.-H., and Bentler, P. M. (1998). Structural equation modeling with robust covariances. Sociol. Methodol. 28, 363-396.
    • (1998) Sociol. Methodol. , vol.28 , pp. 363-396
    • Yuan, K.-H.1    Bentler, P.M.2
  • 57
    • 0036011445 scopus 로고    scopus 로고
    • A unified approach to exploratory factor analysis with missing data, nonnormal data, and in the presence of outliers
    • Yuan, K.-H., Marshall, L. L., and Bentler, P. M. (2002). A unified approach to exploratory factor analysis with missing data, nonnormal data, and in the presence of outliers. Psy- chometrika 67, 95-122.
    • (2002) Psy- chometrika , vol.67 , pp. 95-122
    • Yuan, K.-H.1    Marshall, L.L.2    Bentler, P.M.3
  • 58
    • 54049146889 scopus 로고    scopus 로고
    • Outliers, leverage observations, and influential cases in factor analysis: using robust procedures to minimize their effect
    • Yuan, K.-H., and Zhong, X. (2008). Outliers, leverage observations, and influential cases in factor analysis: using robust procedures to minimize their effect. Sociol. Methodol. 38, 329-368.
    • (2008) Sociol. Methodol. , vol.38 , pp. 329-368
    • Yuan, K.-H.1    Zhong, X.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.