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Volumn 32, Issue 2, 2000, Pages 127-132

Analysis of interaction terms in structural equation models: A non-technical demonstration using the deviation score approach

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EID: 0034349320     PISSN: 0008400X     EISSN: None     Source Type: Journal    
DOI: 10.1037/h0087107     Document Type: Article
Times cited : (41)

References (12)
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    • Measurement error in the analysis of interaction effects between continuous predictors using multiple regression: Multiple indicator and structural equation approaches
    • Jaccard, J., & Wan, C.K. (1995). Measurement error in the analysis of interaction effects between continuous predictors using multiple regression: Multiple indicator and structural equation approaches. Psychological Bulletin, 117, 348-357.
    • (1995) Psychological Bulletin , vol.117 , pp. 348-357
    • Jaccard, J.1    Wan, C.K.2
  • 7
    • 0000456985 scopus 로고
    • Estimating the nonlinear and interactive effects of latent variables
    • Kenny, D., & Judd, C.M. (1984). Estimating the nonlinear and interactive effects of latent variables. Psychological Bulletin, 96, 201-210.
    • (1984) Psychological Bulletin , pp. 201-210
    • Kenny, D.1    Judd, C.M.2
  • 8
    • 84950629115 scopus 로고
    • You should standardize the predictor variables in your regression models
    • Marquardt, D.W. (1980). You should standardize the predictor variables in your regression models. Journal of the American Statistical Association, 75, 87-91.
    • (1980) Journal of the American Statistical Association , vol.75 , pp. 87-91
    • Marquardt, D.W.1
  • 10
    • 85108018707 scopus 로고
    • A parsimonious estimating technique for interaction and quadratic latent variables
    • Ping, R.A. (1995). A parsimonious estimating technique for interaction and quadratic latent variables. Journal of Marketing Research, 32, 336-347.
    • (1995) Journal of Marketing Research , vol.32 , pp. 336-347
    • Ping, R.A.1
  • 11
    • 84893350143 scopus 로고    scopus 로고
    • Latent variable interaction and quadratic effect estimation: A two-step technique using structural equation analysis
    • Ping, R.A. (1996). Latent variable interaction and quadratic effect estimation: A two-step technique using structural equation analysis. Psychological Bulletin, 119, 166-175.
    • (1996) Psychological Bulletin , vol.119 , pp. 166-175
    • Ping, R.A.1
  • 12
    • 85069310584 scopus 로고    scopus 로고
    • Estimating nonlinear effects using a latent moderated structural equations approach
    • R.E. Schumaker & G.A. Marcoulides (Eds.). Mahwah, NJ: Lawrence Erlbaum
    • Schermelleh-Engel, K., Klein, A., & Moosbrugger, H. (1998). Estimating nonlinear effects using a latent moderated structural equations approach. In R.E. Schumaker & G.A. Marcoulides (Eds.), Interaction and nonlinear effects in structural equation modeling (pp. 203-238). Mahwah, NJ: Lawrence Erlbaum.
    • (1998) Interaction and Nonlinear Effects in Structural Equation Modeling , pp. 203-238
    • Schermelleh-Engel, K.1    Klein, A.2    Moosbrugger, H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.