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Volumn 22, Issue 4, 2017, Pages 687-704

An Alternative to Post Hoc Model Modification in Confirmatory Factor Analysis: The Bayesian Lasso

Author keywords

Bayesian method; confirmatory factor analysis; Lasso prior; post hoc model modification

Indexed keywords

CONFIRMATORY FACTOR ANALYSIS; COVARIANCE; ERROR; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALE; SIMULATION; VALIDITY; ADULT; BAYES THEOREM; EMOTION; FACTOR ANALYSIS; PROCEDURES; PSYCHOLOGY; STATISTICAL ANALYSIS;

EID: 85038632356     PISSN: 1082989X     EISSN: None     Source Type: Journal    
DOI: 10.1037/met0000112     Document Type: Article
Times cited : (52)

References (74)
  • 2
    • 33846807786 scopus 로고    scopus 로고
    • On tests and indices for evaluating structural models
    • Bentler, P. M. (2007). On tests and indices for evaluating structural models. Personality and Individual Differences, 42, 825-829.
    • (2007) Personality and Individual Differences , vol.42 , pp. 825-829
    • Bentler, P.M.1
  • 3
    • 4243159210 scopus 로고
    • Significance tests and goodness of fit in the analysis of covariance structures
    • Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88, 588-606.
    • (1980) Psychological Bulletin , vol.88 , pp. 588-606
    • Bentler, P.M.1    Bonett, D.G.2
  • 8
    • 84985233988 scopus 로고
    • The role of factor analysis in the development and evaluation of personality scales
    • Briggs, S. R., & Cheek, J. M. (1986). The role of factor analysis in the development and evaluation of personality scales. Journal of Personality, 54, 106-148.
    • (1986) Journal of Personality , vol.54 , pp. 106-148
    • Briggs, S.R.1    Cheek, J.M.2
  • 15
    • 0001922927 scopus 로고    scopus 로고
    • The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis
    • Curran, P. J., West, S. G., & Finch, J. F. (1996). The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis. Psychological Methods, 1, 16-29.
    • (1996) Psychological Methods , vol.1 , pp. 16-29
    • Curran, P.J.1    West, S.G.2    Finch, J.F.3
  • 16
    • 0001038826 scopus 로고
    • Covariance selection
    • Dempster, A. P. (1972). Covariance selection. Biometrics, 28, 157-175.
    • (1972) Biometrics , vol.28 , pp. 157-175
    • Dempster, A.P.1
  • 17
    • 31644441157 scopus 로고    scopus 로고
    • Using confirmatory factor analysis for construct validation: An empirical review
    • DiStefano, C., & Hess, B. (2005). Using confirmatory factor analysis for construct validation: An empirical review. Journal of Psychoeducational Assessment, 23, 225-241.
    • (2005) Journal of Psychoeducational Assessment , vol.23 , pp. 225-241
    • DiStefano, C.1    Hess, B.2
  • 20
    • 0039620968 scopus 로고    scopus 로고
    • Evaluating the use of exploratory factor analysis in psychological research
    • Fabrigar, L. R., Wegener, D. T., MacCallum, R. C., & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4, 272-299.
    • (1999) Psychological Methods , vol.4 , pp. 272-299
    • Fabrigar, L.R.1    Wegener, D.T.2    MacCallum, R.C.3    Strahan, E.J.4
  • 21
    • 10844245499 scopus 로고    scopus 로고
    • An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data
    • Flora, D. B., & Curran, P. J. (2004). An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. Psychological Methods, 9, 468-491.
    • (2004) Psychological Methods , vol.9 , pp. 468-491
    • Flora, D.B.1    Curran, P.J.2
  • 23
    • 0033636097 scopus 로고    scopus 로고
    • Latent class model diagnosis
    • Garrett, E. S., & Zeger, S. L. (2000). Latent class model diagnosis. Biometrics, 56, 1055-l067.
    • (2000) Biometrics , vol.56 , pp. l067-1055
    • Garrett, E.S.1    Zeger, S.L.2
  • 24
    • 0001582213 scopus 로고    scopus 로고
    • Inference and monitoring convergence
    • In W. R. Gilks, S. Richardson, & D. J. Spiegelharter (Eds.) London, UK: Chapman & Hall
    • Gelman, A. (1996). Inference and monitoring convergence. In W. R. Gilks, S. Richardson, & D. J. Spiegelharter (Eds.), Markov Chain Monte Carlo in practice (pp. 131-144), London, UK: Chapman & Hall.
    • (1996) Markov Chain Monte Carlo in Practice , pp. 131-144
    • Gelman, A.1
  • 26
    • 25444484077 scopus 로고    scopus 로고
    • Posterior predictive assessment of model fitness via realized discrepancies
    • Gelman, A., Meng, X. L., & Stern, H. (1996). Posterior predictive assessment of model fitness via realized discrepancies. Statistica Sinica, 6, 733-759.
    • (1996) Statistica Sinica , vol.6 , pp. 733-759
    • Gelman, A.1    Meng, X.L.2    Stern, H.3
  • 29
    • 70449697371 scopus 로고    scopus 로고
    • Relationships among image congruence, consumption emotions, and customer loyalty in the lodging industry
    • Han, H., & Back, K. (2008). Relationships among image congruence, consumption emotions, and customer loyalty in the lodging industry. Journal of Hospitality & Tourism Research, 32, 467-490.
    • (2008) Journal of Hospitality & Tourism Research , vol.32 , pp. 467-490
    • Han, H.1    Back, K.2
  • 30
    • 71249130909 scopus 로고    scopus 로고
    • Bayesian lasso regression
    • Hans, C. (2009). Bayesian lasso regression. Biometrika, 96, 835-845.
    • (2009) Biometrika , vol.96 , pp. 835-845
    • Hans, C.1
  • 31
    • 77956890234 scopus 로고
    • Monte Carlo sampling methods using Markov chains and their application
    • Hastings, W. K. (1970). Monte Carlo sampling methods using Markov chains and their application. Biometrika, 57, 97-109.
    • (1970) Biometrika , vol.57 , pp. 97-109
    • Hastings, W.K.1
  • 32
    • 0027741403 scopus 로고
    • Psychometric considerations in evaluating health-related quality of life measures
    • Hays, R. D., Anderson, R., & Revicki, D. (1993). Psychometric considerations in evaluating health-related quality of life measures. Quality of Life Research, 2, 441-449.
    • (1993) Quality of Life Research , vol.2 , pp. 441-449
    • Hays, R.D.1    Anderson, R.2    Revicki, D.3
  • 33
    • 17444400603 scopus 로고    scopus 로고
    • The growth of structural equation modeling: 1994-2001
    • Hershberger, S. L. (2003). The growth of structural equation modeling: 1994-2001. Structural Equation Modeling, 10, 35-46.
    • (2003) Structural Equation Modeling , vol.10 , pp. 35-46
    • Hershberger, S.L.1
  • 34
    • 0026919385 scopus 로고
    • Can test statistics in covariance structure analysis be trusted
    • Hu, L. T., Bentler, P. M., & Kano, Y. (1992). Can test statistics in covariance structure analysis be trusted Psychological Bulletin, 112, 351-361.
    • (1992) Psychological Bulletin , vol.112 , pp. 351-361
    • Hu, L.T.1    Bentler, P.M.2    Kano, Y.3
  • 35
    • 77953645799 scopus 로고    scopus 로고
    • Empirically indistinguishable multidimensional IRT and locally dependent unidimensional item response models
    • Ip, E. H. (2010). Empirically indistinguishable multidimensional IRT and locally dependent unidimensional item response models. British Journal of Mathematical and Statistical Psychology, 63, 395-415.
    • (2010) British Journal of Mathematical and Statistical Psychology , vol.63 , pp. 395-415
    • Ip, E.H.1
  • 36
    • 10044243397 scopus 로고    scopus 로고
    • Locally dependent latent trait model for polytomous responses with application to inventory of hostility
    • Ip, E. H., Wang, Y., de Boeck, P., & Meulders, M. (2004). Locally dependent latent trait model for polytomous responses with application to inventory of hostility. Psychometrika, 62, 191-216.
    • (2004) Psychometrika , vol.62 , pp. 191-216
    • Ip, E.H.1    Wang, Y.2    De Boeck, P.3    Meulders, M.4
  • 37
    • 64649086851 scopus 로고    scopus 로고
    • Reporting practices in confirmatory factor analysis: An overview and some recommendations
    • Jackson, D. L., Gillaspy, J. A., Jr., & Purc-Stephenson, R. (2009). Reporting practices in confirmatory factor analysis: An overview and some recommendations. Psychological Methods, 14, 6-23.
    • (2009) Psychological Methods , vol.14 , pp. 6-23
    • Jackson, D.L.1    Gillaspy, J.A.2    Purc-Stephenson, R.3
  • 39
    • 0242718210 scopus 로고
    • Evaluating and modifying covariance structure models: A review and recommendation
    • Kaplan, D. (1990). Evaluating and modifying covariance structure models: A review and recommendation. Multivariate Behavioral Research, 25, 137-155.
    • (1990) Multivariate Behavioral Research , vol.25 , pp. 137-155
    • Kaplan, D.1
  • 43
    • 78049484065 scopus 로고    scopus 로고
    • Penalized regression, standard errors, and Bayesian lassos
    • Kyung, M., Gill, J., Ghosh, M., & Casella, G. (2010). Penalized regression, standard errors, and Bayesian lassos. Bayesian Analysis, 5, 369-411.
    • (2010) Bayesian Analysis , vol.5 , pp. 369-411
    • Kyung, M.1    Gill, J.2    Ghosh, M.3    Casella, G.4
  • 46
    • 79959446880 scopus 로고    scopus 로고
    • Emotional reinforcement as a protective factor for healthy eating in home settings
    • Lu, J., Huet, C., & Dubé, L. (2011). Emotional reinforcement as a protective factor for healthy eating in home settings. The American Journal of Clinical Nutrition, 94, 254-261.
    • (2011) The American Journal of Clinical Nutrition , vol.94 , pp. 254-261
    • Lu, J.1    Huet, C.2    Dubé, L.3
  • 47
    • 84975121663 scopus 로고    scopus 로고
    • Bayesian factor analysis as a variable selection problem: Alternative priors and consequences
    • Lu, Z., Chow, S., & Loken, E. (2016). Bayesian factor analysis as a variable selection problem: Alternative priors and consequences. Multivariate Behavioral Research, 51, 519-539.
    • (2016) Multivariate Behavioral Research , vol.51 , pp. 519-539
    • Lu, Z.1    Chow, S.2    Loken, E.3
  • 48
    • 0000477824 scopus 로고
    • Specification searches in covariance structure modeling
    • MacCallum, R. C. (1986). Specification searches in covariance structure modeling. Psychological Bulletin, 100, 107-120.
    • (1986) Psychological Bulletin , vol.100 , pp. 107-120
    • MacCallum, R.C.1
  • 49
    • 0001788721 scopus 로고
    • Model specification: Procedures, strategies, and related issues
    • In R. H. Hoyle (Ed.) Thousand Oaks, CA: Sage
    • MacCallum, R. C. (1995). Model specification: Procedures, strategies, and related issues. In R. H. Hoyle (Ed.), Structural equation modeling: Concepts, issues, and applications. Thousand Oaks, CA: Sage.
    • (1995) Structural Equation Modeling: Concepts, Issues, and Applications
    • MacCallum, R.C.1
  • 50
    • 0001348083 scopus 로고
    • Model modifications in covariance structure analysis: The problem of capitalization on chance
    • MacCallum, R. C., Roznowski, M., & Necowitz, L. B. (1992). Model modifications in covariance structure analysis: The problem of capitalization on chance. Psychological Bulletin, 111, 490-504.
    • (1992) Psychological Bulletin , vol.111 , pp. 490-504
    • MacCallum, R.C.1    Roznowski, M.2    Necowitz, L.B.3
  • 51
    • 0032788192 scopus 로고    scopus 로고
    • Characteristics of eating in anger, fear, sadness and joy
    • Macht, M. (1999). Characteristics of eating in anger, fear, sadness and joy. Appetite, 33, 129-139.
    • (1999) Appetite , vol.33 , pp. 129-139
    • MacHt, M.1
  • 52
    • 0033822029 scopus 로고    scopus 로고
    • Emotions and eating in everyday life
    • Macht, M., & Simons, G. (2000). Emotions and eating in everyday life. Appetite, 35, 65-71.
    • (2000) Appetite , vol.35 , pp. 65-71
    • MacHt, M.1    Simons, G.2
  • 53
    • 33750317961 scopus 로고
    • Application of confirmatory factor analysis to the study of self-concept: First-A nd higher order factor models and their invariance across groups
    • Marsh, H. W., & Hocevar, D. (1985). Application of confirmatory factor analysis to the study of self-concept: First-A nd higher order factor models and their invariance across groups. Psychological Bulletin, 97, 562-582.
    • (1985) Psychological Bulletin , vol.97 , pp. 562-582
    • Marsh, H.W.1    Hocevar, D.2
  • 54
    • 85047669360 scopus 로고    scopus 로고
    • Principles and practices in reporting structural equation analyses
    • McDonald, R. P., & Ho, M. (2002). Principles and practices in reporting structural equation analyses. Psychological Methods, 7, 64-82.
    • (2002) Psychological Methods , vol.7 , pp. 64-82
    • McDonald, R.P.1    Ho, M.2
  • 56
    • 84873047637 scopus 로고    scopus 로고
    • Bayesian structural equation modeling: A more flexible representation of substantive theory
    • Muthén, B., & Asparouhov, T. (2012). Bayesian structural equation modeling: A more flexible representation of substantive theory. Psychological Methods, 17, 313-335.
    • (2012) Psychological Methods , vol.17 , pp. 313-335
    • Muthén, B.1    Asparouhov, T.2
  • 59
    • 41149087694 scopus 로고    scopus 로고
    • CODA: Convergence diagnosis and output analysis for MCMC
    • Plummer, M., Best, N., Cowles, K., & Vines, K. (2006). CODA: Convergence diagnosis and output analysis for MCMC. R news, 6, 7-11.
    • (2006) R News , vol.6 , pp. 7-11
    • Plummer, M.1    Best, N.2    Cowles, K.3    Vines, K.4
  • 60
    • 82655175460 scopus 로고    scopus 로고
    • Covariance estimation: The GLM and regularization perspectives
    • Pourahamadi, M. (2011). Covariance estimation: The GLM and regularization perspectives. Statistical Science, 26, 369-387.
    • (2011) Statistical Science , vol.26 , pp. 369-387
    • Pourahamadi, M.1
  • 61
    • 84914179053 scopus 로고    scopus 로고
    • R Core Team. Vienna, Austria: R Foundation for Statistical Computing
    • R Core Team. (2013). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing.
    • (2013) R: A Language and Environment for Statistical Computing
  • 62
    • 52649099024 scopus 로고    scopus 로고
    • Locally dependent latent class models with covariates: An application to under-age drinking in the USA
    • Reboussin, B. A., Ip, E. H., & Wolfson, M. (2008). Locally dependent latent class models with covariates: An application to under-age drinking in the USA. Journal of the Royal Statistical Society, 171, 877-897.
    • (2008) Journal of the Royal Statistical Society , vol.171 , pp. 877-897
    • Reboussin, B.A.1    Ip, E.H.2    Wolfson, M.3
  • 63
    • 21744438808 scopus 로고    scopus 로고
    • Measuring emotions in the consumption experience
    • Richins, M. L. (1997). Measuring emotions in the consumption experience. Journal of Consumer Research, 24, 127-146.
    • (1997) Journal of Consumer Research , vol.24 , pp. 127-146
    • Richins, M.L.1
  • 64
    • 0033247467 scopus 로고    scopus 로고
    • Bayesian estimation and testing of structural equation models
    • Scheines, R., Hojink, H., & Boomsma, A. (1999). Bayesian estimation and testing of structural equation models. Psychometrika, 64, 37-52.
    • (1999) Psychometrika , vol.64 , pp. 37-52
    • Scheines, R.1    Hojink, H.2    Boomsma, A.3
  • 65
    • 0000721024 scopus 로고
    • Model modification
    • Sörbom, D. (1989). Model modification. Psychometrika, 54, 371-384.
    • (1989) Psychometrika , vol.54 , pp. 371-384
    • Sörbom, D.1
  • 66
    • 84948889709 scopus 로고
    • Structural model evaluation and modification: An interval estimation approach
    • Steiger, J. H. (1990). Structural model evaluation and modification: An interval estimation approach. Multivariate Behavioral Research, 25, 173-180.
    • (1990) Multivariate Behavioral Research , vol.25 , pp. 173-180
    • Steiger, J.H.1
  • 67
    • 0002325027 scopus 로고
    • Trends in research design and data analytic strategies in organizational research
    • Stone-Romero, E. F., Weaver, A. E., & Glenar, J. L. (1995). Trends in research design and data analytic strategies in organizational research. Journal of Management, 21, 141-157.
    • (1995) Journal of Management , vol.21 , pp. 141-157
    • Stone-Romero, E.F.1    Weaver, A.E.2    Glenar, J.L.3
  • 68
    • 84950758368 scopus 로고
    • The calculation of posterior distributions by data augmentation (with discussion)
    • Tanner, M. A., & Wong, W. H. (1987). The calculation of posterior distributions by data augmentation (with discussion). Journal of the American Statistical Association, 82, 528-550.
    • (1987) Journal of the American Statistical Association , vol.82 , pp. 528-550
    • Tanner, M.A.1    Wong, W.H.2
  • 71
    • 79955040218 scopus 로고    scopus 로고
    • Regression shrinkage and selection via the lasso: A retrospective
    • Tibshirani, R. (2011). Regression shrinkage and selection via the lasso: A retrospective. Journal of the Royal Statistical Society, 73, 273-282.
    • (2011) Journal of the Royal Statistical Society , vol.73 , pp. 273-282
    • Tibshirani, R.1
  • 72
    • 84872506599 scopus 로고    scopus 로고
    • Bayesian graphical lasso models and efficient posterior computation
    • Wang, H. (2012). Bayesian graphical lasso models and efficient posterior computation. Bayesian Analysis, 7, 867-886.
    • (2012) Bayesian Analysis , vol.7 , pp. 867-886
    • Wang, H.1
  • 73
    • 84863879353 scopus 로고    scopus 로고
    • Coordinate descent algorithms for lasso penalized regression
    • Wu, T. T., & Lange, K. (2008). Coordinate descent algorithms for lasso penalized regression. The Annals of Applied Statistics, 2, 224-244.
    • (2008) The Annals of Applied Statistics , vol.2 , pp. 224-244
    • Wu, T.T.1    Lange, K.2
  • 74
    • 33947115409 scopus 로고    scopus 로고
    • Model selection and estimation in the Gaussian graphical model
    • Yuan, M., & Lin, Y. (2007). Model selection and estimation in the Gaussian graphical model. Biometrika, 94, 19-35.
    • (2007) Biometrika , vol.94 , pp. 19-35
    • Yuan, M.1    Lin, Y.2


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