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Volumn 18, Issue 3, 2011, Pages 449-464

Modeling latent interactions at level 2 in multilevel structural equation models: An evaluation of mean-centered and residual-centered unconstrained approaches

Author keywords

Latent variable interaction; Monte Carlo simulation study; Multilevel SEM; Structural equation modeling; Unconstrained approach

Indexed keywords


EID: 79960679362     PISSN: 10705511     EISSN: None     Source Type: Journal    
DOI: 10.1080/10705511.2011.582400     Document Type: Article
Times cited : (9)

References (28)
  • 1
    • 0037514705 scopus 로고    scopus 로고
    • A note on estimating the Jöreskog-Yang model for latent variable interaction using LISREL 8.3
    • Algina, J., & Moulder, B. C. (2001). A note on estimating the Jöreskog-Yang model for latent variable interaction using LISREL 8.3. Structural Equation Modeling, 8, 40-52.
    • (2001) Structural Equation Modeling , vol.8 , pp. 40-52
    • Algina, J.1    Moulder, B.C.2
  • 2
    • 76449086387 scopus 로고    scopus 로고
    • The use of Monte Carlo studies in structural equation modeling research
    • In G. R. Hancock & R. O. Mueller (Eds.), Greenwich, CT: Information Age
    • Bandalos, D. L. (2006). The use of Monte Carlo studies in structural equation modeling research. In G. R. Hancock & R. O. Mueller (Eds.), Structural equation modeling: A second course (pp. 385-426). Greenwich, CT: Information Age.
    • (2006) Structural equation modeling: A second course , pp. 385-426
    • Bandalos, D.L.1
  • 3
    • 0001772744 scopus 로고    scopus 로고
    • Within-group agreement, non-independence, and reliability: Implications for data aggregation and analysis
    • In K. J. Klein & S. W. J. Kozlowski (Eds.), San Francisco, CA: Jossey-Bass
    • Bliese, P. D. (2000). Within-group agreement, non-independence, and reliability: Implications for data aggregation and analysis In K. J. Klein & S. W. J. Kozlowski (Eds.), Multilevel theory, research, and methods in organizations: Foundations, extensions, and new directions (pp. 349-381). San Francisco, CA: Jossey-Bass.
    • (2000) Multilevel theory, research, and methods in organizations: Foundations, extensions, and new directions , pp. 349-381
    • Bliese, P.D.1
  • 4
    • 0000884071 scopus 로고
    • Analysis of multiplicative combination rules when the causal variables are measured with error
    • Busemeyer, J. R., & Jones, L. E. (1983). Analysis of multiplicative combination rules when the causal variables are measured with error. Psychological Bulletin, 93, 549-562.
    • (1983) Psychological Bulletin , vol.93 , pp. 549-562
    • Busemeyer, J.R.1    Jones, L.E.2
  • 5
    • 32944475010 scopus 로고    scopus 로고
    • Applications of multilevel structural equation modeling to cross-cultural research
    • Cheung, M. W., & Au, K. (2005). Applications of multilevel structural equation modeling to cross-cultural research. Structural Equation Modeling, 12, 598-619.
    • (2005) Structural Equation Modeling , vol.12 , pp. 598-619
    • Cheung, M.W.1    Au, K.2
  • 6
    • 38349119776 scopus 로고    scopus 로고
    • Binge eating, problem drinking, and pathological gambling: Linking behavior to shared traits and social learning
    • Fischer, S., & Smith, G. T. (2008). Binge eating, problem drinking, and pathological gambling: Linking behavior to shared traits and social learning. Personality and Individual Differences, 44, 789-800.
    • (2008) Personality and Individual Differences , vol.44 , pp. 789-800
    • Fischer, S.1    Smith, G.T.2
  • 7
    • 1642457314 scopus 로고    scopus 로고
    • Neighborhood-level influences on physical activity among older adults: A multilevel analysis
    • Fisher, K. J., Li, F., Michael, Y., & Cleveland, M. (2004). Neighborhood-level influences on physical activity among older adults: A multilevel analysis. Journal of Aging & Physical Activity, 12, 45-63.
    • (2004) Journal of Aging & Physical Activity , vol.12 , pp. 45-63
    • Fisher, K.J.1    Li, F.2    Michael, Y.3    Cleveland, M.4
  • 8
    • 33947420464 scopus 로고    scopus 로고
    • Temperamental resistance to control increases the association between sleep problems and externalizing behavior development
    • Goodnight, J. A., Bates, J. E., Staples, A. D., Pettit, G. S., & Dodge, K. A. (2007). Temperamental resistance to control increases the association between sleep problems and externalizing behavior development. Journal of Family Psychology, 21, 39-48.
    • (2007) Journal of Family Psychology , vol.21 , pp. 39-48
    • Goodnight, J.A.1    Bates, J.E.2    Staples, A.D.3    Pettit, G.S.4    Dodge, K.A.5
  • 9
    • 0344663188 scopus 로고    scopus 로고
    • Multilevel modeling with SEM
    • In G. A. Marcoulides & R. E. Schumacker (Eds.), Mahwah, NJ: Lawrence Erlbaum Associates
    • Heck, R. H. (2001). Multilevel modeling with SEM. In G. A. Marcoulides & R. E. Schumacker (Eds.), New developments and techniques in structural equation modeling (pp. 89-128). Mahwah, NJ: Lawrence Erlbaum Associates.
    • (2001) New developments and techniques in structural equation modeling , pp. 89-128
    • Heck, R.H.1
  • 11
  • 12
    • 0002382866 scopus 로고    scopus 로고
    • Nonlinear structural equation models: The Kenny-Judd model with interaction effects
    • In G. A. Marcoulides & R. E. Schumacker (Eds.), Mahwah, NJ: Lawrence Erlbaum Associates
    • Jöreskog, K. G., & Yang, F. (1996). Nonlinear structural equation models: The Kenny-Judd model with interaction effects. In G. A. Marcoulides & R. E. Schumacker (Eds.), Advanced structural equation modeling (pp. 57-88). Mahwah, NJ: Lawrence Erlbaum Associates.
    • (1996) Advanced structural equation modeling , pp. 57-88
    • Jöreskog, K.G.1    Yang, F.2
  • 13
    • 0000456985 scopus 로고
    • Estimating the nonlinear and interaction effects of latent variables
    • Kenny, D., & Judd, C. M. (1984). Estimating the nonlinear and interaction effects of latent variables. Psychological Bulletin, 96, 201-210.
    • (1984) Psychological Bulletin , vol.96 , pp. 201-210
    • Kenny, D.1    Judd, C.M.2
  • 14
    • 0034559665 scopus 로고    scopus 로고
    • Maximum likelihood estimation of latent interaction effects with the LMS method
    • Klein, A., & 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.1    Moosbrugger, H.2
  • 15
    • 84965924423 scopus 로고
    • Residual centering, exploratory and confirmatorymoderator analysis, and decomposition of effects in path models containing interactions
    • Lance, C. E. (1988). Residual centering, exploratory and confirmatorymoderator analysis, and decomposition of effects in path models containing interactions. Applied Psychological Measurement, 12, 163-175.
    • (1988) Applied Psychological Measurement , vol.12 , pp. 163-175
    • Lance, C.E.1
  • 16
    • 33750342687 scopus 로고    scopus 로고
    • On the merits of orthogonalizing powered and product terms: Implications for modeling interactions among latent variables
    • Little, T. D., Bovaird, J. A., & Widaman, K. F. (2006). On the merits of orthogonalizing powered and product terms: Implications for modeling interactions among latent variables. Structural Equation Modeling, 13, 497-519.
    • (2006) Structural Equation Modeling , vol.13 , pp. 497-519
    • Little, T.D.1    Bovaird, J.A.2    Widaman, K.F.3
  • 17
    • 4344623799 scopus 로고    scopus 로고
    • Structural equationmodels of latent interactions: Evaluation of alternative estimation strategies and indicator construction
    • Marsh, H. W., Wen, Z., & Hau, K.-T. (2004). Structural equationmodels of latent interactions: Evaluation of alternative estimation strategies and indicator construction. Psychological Methods, 9, 275-300.
    • (2004) Psychological Methods , vol.9 , pp. 275-300
    • Marsh, H.W.1    Wen, Z.2    Hau, K.-T.3
  • 18
    • 38049152866 scopus 로고    scopus 로고
    • Unconstrained structural equation models of latent interactions: Contrasting residual-and mean-centered approaches
    • Marsh, H. W., Wen, Z., Hau, K.-T., Little, T. D., Bovaird, J. A., & Widaman, K. F. (2007). Unconstrained structural equation models of latent interactions: Contrasting residual-and mean-centered approaches. Structural Equation Modeling, 14, 570-580.
    • (2007) Structural Equation Modeling , vol.14 , pp. 570-580
    • Marsh, H.W.1    Wen, Z.2    Hau, K.-T.3    Little, T.D.4    Bovaird, J.A.5    Widaman, K.F.6
  • 19
    • 46549085318 scopus 로고    scopus 로고
    • The interaction of conduct problems and depressed mood in relation to adolescent substance involvement and peer substance use
    • Mason, W. A., Hitchings, J. E., & Spoth, R. L. (2008). The interaction of conduct problems and depressed mood in relation to adolescent substance involvement and peer substance use. Drug & Alcohol Dependence, 96, 233-248.
    • (2008) Drug & Alcohol Dependence , vol.96 , pp. 233-248
    • Mason, W.A.1    Hitchings, J.E.2    Spoth, R.L.3
  • 20
    • 0037514670 scopus 로고    scopus 로고
    • Comparison of methods for estimating and testing latent variable interactions
    • Moulder, B. C., & Algina, J. (2002). Comparison of methods for estimating and testing latent variable interactions. Structural Equation Modeling, 9, 1-19.
    • (2002) Structural Equation Modeling , vol.9 , pp. 1-19
    • Moulder, B.C.1    Algina, J.2
  • 21
    • 84965569319 scopus 로고
    • Multilevel covariance structure analysis
    • Muthén, B. O. (1994). Multilevel covariance structure analysis. Sociological Methods and Research, 22, 376-399.
    • (1994) Sociological Methods and Research , vol.22 , pp. 376-399
    • Muthén, B.O.1
  • 22
    • 84886337777 scopus 로고
    • Complex sample data in structural equation modeling
    • Muthén, B. O., & Satorra, A. (1995). Complex sample data in structural equation modeling. SociologicalMethodology, 25, 267-316.
    • (1995) SociologicalMethodology , vol.25 , pp. 267-316
    • Muthén, B.O.1    Satorra, A.2
  • 24
    • 70149113077 scopus 로고    scopus 로고
    • R Development Core Team., Vienna, Austria: R Foundation for Statistical Computing
    • R Development Core Team. (2009). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing.
    • (2009) R: A language and environment for statistical computing
  • 26
    • 72049126081 scopus 로고    scopus 로고
    • Nonlinearities between attitude and subjective norms in information technology acceptance: A negative synergy?
    • Titah, R., & Barki, H. (2009). Nonlinearities between attitude and subjective norms in information technology acceptance: A negative synergy? MIS Quarterly, 33, 827-844.
    • (2009) MIS Quarterly , vol.33 , pp. 827-844
    • Titah, R.1    Barki, H.2
  • 27
    • 72749087487 scopus 로고    scopus 로고
    • Appropriate standardized estimates for moderating effects in structural equation models
    • Wen, Z., Hau, K., & Marsh, H. W. (2008). Appropriate standardized estimates for moderating effects in structural equation models. Acta Psychologica Sinica, 40, 729-736.
    • (2008) Acta Psychologica Sinica , vol.40 , pp. 729-736
    • Wen, Z.1    Hau, K.2    Marsh, H.W.3
  • 28
    • 4043056356 scopus 로고    scopus 로고
    • Is there any interaction effect between intention and perceived behavioral control?
    • Retrieved from
    • Yang-Wallentin, F., Schmidt, P., Davidov, E., & Bamberg, S. (2004). Is there any interaction effect between intention and perceived behavioral control? Methods of Psychological Research Online, 8, 127-157. Retrieved from http:// www.dgps.de/fachgruppen/methoden/mpr-online/issue20/art5/mpr129_10.pdf
    • (2004) Methods of Psychological Research Online , vol.8 , pp. 127-157
    • Yang-Wallentin, F.1    Schmidt, P.2    Davidov, E.3    Bamberg, S.4


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