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Volumn 94, Issue 2, 2010, Pages 167-184

Nonlinear structural equation modeling: Is partial least squares an alternative?

Author keywords

Interaction effect; LISREL; LMS; Monte Carlo study; Nonlinear structural equation modeling; Partial least squares

Indexed keywords


EID: 77953915536     PISSN: 18638171     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10182-010-0132-3     Document Type: Article
Times cited : (15)

References (48)
  • 2
    • 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.: A note on estimating the Jöreskog-Yang model for latent variable interaction using LISREL 8. 3. Struct. Equ. Model. 8, 40-52 (2001).
    • (2001) Struct. Equ. Model. , vol.8 , pp. 40-52
    • Algina, J.1    Moulder, B.C.2
  • 3
    • 0004768977 scopus 로고
    • The probability function of the product of two normally distributed variables
    • Aroian, L. A.: The probability function of the product of two normally distributed variables. Ann. Math. Stat. 18, 265-271 (1947).
    • (1947) Ann. Math. Stat. , vol.18 , pp. 265-271
    • Aroian, L.A.1
  • 4
    • 17644366777 scopus 로고    scopus 로고
    • Job resources buffer the impact of job demands on burnout
    • Bakker, A. B., Demerouti, E., Euwema, M. C.: Job resources buffer the impact of job demands on burnout. J. Occup. Health Psychol. 10, 170-180 (2005).
    • (2005) J. Occup. Health Psychol. , vol.10 , pp. 170-180
    • Bakker, A.B.1    Demerouti, E.2    Euwema, M.C.3
  • 5
    • 77953916712 scopus 로고    scopus 로고
    • Barendse, M. T., Oort, F. J., Garst, G. J. A.: Using restricted factor analysis with latent moderated structures to detect uniform and nonuniform measurement bias: a simulation study. Adv. Stat. Anal. (2010).
  • 6
    • 0030496688 scopus 로고    scopus 로고
    • An alternative two-stage least squares (2SLS) estimator for latent variable equations
    • Bollen, K. A.: An alternative two-stage least squares (2SLS) estimator for latent variable equations. Psychometrika 61, 109-121 (1996).
    • (1996) Psychometrika , vol.61 , pp. 109-121
    • Bollen, K.A.1
  • 7
    • 0000884071 scopus 로고
    • Analysis of multiplicative combination rules when the causal variables are measured with error
    • Busemeyer, J. R., Jones, L. E.: Analysis of multiplicative combination rules when the causal variables are measured with error. Psychol. Bull. 93, 549-562 (1983).
    • (1983) Psychol. Bull. , vol.93 , pp. 549-562
    • Busemeyer, J.R.1    Jones, L.E.2
  • 8
    • 0003095695 scopus 로고    scopus 로고
    • The partial least squares approach to structural equation modeling
    • G. A. Marcoulides (Ed.), Mahwah: Lawrence Erlbaum
    • Chin, W. W.: The partial least squares approach to structural equation modeling. In: Marcoulides, G. A. (ed.) Modern Methods for Business Research, pp. 295-336. Lawrence Erlbaum, Mahwah (1998).
    • (1998) Modern Methods for Business Research , pp. 295-336
    • Chin, W.W.1
  • 9
    • 0000468286 scopus 로고    scopus 로고
    • Structural equation modeling analysis with small samples using partial least squares
    • R. Hoyle (Ed.), Beverly Hills: Sage
    • Chin, W. W., Newsted, P. R.: Structural equation modeling analysis with small samples using partial least squares. In: Hoyle, R. (ed.) Statistical Strategies for Small Sample Research, pp. 307-341. Sage, Beverly Hills (1999).
    • (1999) Statistical Strategies for Small Sample Research , pp. 307-341
    • Chin, W.W.1    Newsted, P.R.2
  • 10
    • 77953915196 scopus 로고    scopus 로고
    • Chin, W. W., Marcolin, B. L., Newsted, P. R.: A partial least squares latent variable modeling approach for measuring interaction effects. Results from a Monte Carlo simulation study and voice mail emotion/adoption study. In: DeGross, J. I., Jarvenpaa, S., Srinivasan, A (eds.) Proceedings of the Seventeenth International Conference on Information Systems, pp. 21-41. Cleveland (1996).
  • 11
    • 0042242856 scopus 로고    scopus 로고
    • A partial least squares latent variable modeling approach for measuring interaction effects: Results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study
    • Chin, W. W., Marcolin, B. L., Newsted, P. R.: A partial least squares latent variable modeling approach for measuring interaction effects: results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study. Inf. Syst. Res. 14, 189-217 (2003).
    • (2003) Inf. Syst. Res. , vol.14 , pp. 189-217
    • Chin, W.W.1    Marcolin, B.L.2    Newsted, P.R.3
  • 12
    • 0002629270 scopus 로고
    • Maximum likelihood from incomplete data via the EM algorithm
    • Dempster, A. P., Laird, N. M., Rubin, D. B.: Maximum likelihood from incomplete data via the EM algorithm. R. Stat. Soc., Ser. B 39, 1-38 (1977).
    • (1977) R. Stat. Soc., Ser. B , vol.39 , pp. 1-38
    • Dempster, A.P.1    Laird, N.M.2    Rubin, D.B.3
  • 14
    • 0347986685 scopus 로고    scopus 로고
    • Customer-related social stressors and burnout
    • Dormann, C., Zapf, D.: Customer-related social stressors and burnout. J. Occup. Health Psychol. 9, 61-82 (2004).
    • (2004) J. Occup. Health Psychol. , vol.9 , pp. 61-82
    • Dormann, C.1    Zapf, D.2
  • 15
    • 77953916315 scopus 로고    scopus 로고
    • Geiser, C., Eid, M., Nussbeck, F. W., Courvoisier, D. S., Cole, D. A.: Multitrait-multimethod change modeling. Adv. Stat. Anal. (2010).
  • 16
    • 57649121504 scopus 로고    scopus 로고
    • Statistical power in analyzing interaction effects: Questioning the advantage of PLS with product indicators
    • Goodhue, D., Lewis, W., Thompson, R.: Statistical power in analyzing interaction effects: questioning the advantage of PLS with product indicators. Inf. Syst. Res. 18, 211-227 (2007).
    • (2007) Inf. Syst. Res. , vol.18 , pp. 211-227
    • Goodhue, D.1    Lewis, W.2    Thompson, R.3
  • 17
    • 77951208605 scopus 로고    scopus 로고
    • On the convergence of the partial least squares path modeling algorithm
    • Henseler, J.: On the convergence of the partial least squares path modeling algorithm. Comput. Stat. 25, 107-120 (2010).
    • (2010) Comput. Stat. , vol.25 , pp. 107-120
    • Henseler, J.1
  • 18
    • 11944261983 scopus 로고
    • 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.: Measurement error in the analysis of interaction effects between continuous predictors using multiple regression: multiple indicator and structural equation approaches. Psychol. Bull. 117, 348-357 (1995).
    • (1995) Psychol. Bull. , vol.117 , pp. 348-357
    • Jaccard, J.1    Wan, C.K.2
  • 19
    • 77953915172 scopus 로고    scopus 로고
    • Jak, S., Oort, F. J., Garst, G. J. A.: Measurement bias and multidimensionality: an illustration of bias detection in multidimensional measurement models. Adv. Stat. Anal. (2010).
  • 22
    • 0001877955 scopus 로고
    • The ML and PLS technique for modeling with latent variables: Historical and comparative aspects
    • K. G. Jöreskog and H. Wold (Eds.), Amsterdam: North-Holland
    • Jöreskog, K. G., Wold, H. (eds.): The ML and PLS technique for modeling with latent variables: historical and comparative aspects. In: Jöreskog, K. G., Wold, H. (eds.) Systems Under Indirect Observation, Part I, pp. 263-270. North-Holland, Amsterdam (1982).
    • (1982) Systems Under Indirect Observation, Part I , pp. 263-270
    • Jöreskog, K.G.1    Wold, H.2
  • 23
    • 0002382866 scopus 로고    scopus 로고
    • Nonlinear structural equation models: The Kenny-Judd model with interaction effects
    • G. A. Marcoulides and R. E. Schumacker (Eds.), Mahwah: Lawrence Erlbaum
    • Jöreskog, K. G., Yang, F.: Nonlinear structural equation models: the Kenny-Judd model with interaction effects. In: Marcoulides, G. A., Schumacker, R. E. (eds.) Advanced Structural Equation Modeling: Issues and Techniques, pp. 57-88. Lawrence Erlbaum, Mahwah (1996).
    • (1996) Advanced Structural Equation Modeling: Issues and Techniques , pp. 57-88
    • Jöreskog, K.G.1    Yang, F.2
  • 24
    • 69949093695 scopus 로고    scopus 로고
    • Multicollinearity and missing constraints: A comparison of three approaches for the analysis of latent nonlinear effects
    • Kelava, A., Moosbrugger, H., Dimitruk, P., Schermelleh-Engel, K.: Multicollinearity and missing constraints: a comparison of three approaches for the analysis of latent nonlinear effects. Methodology 4, 51-66 (2008).
    • (2008) Methodology , vol.4 , pp. 51-66
    • Kelava, A.1    Moosbrugger, H.2    Dimitruk, P.3    Schermelleh-Engel, K.4
  • 25
    • 0000456985 scopus 로고
    • Estimating the nonlinear and interactive effects of latent variables
    • Kenny, D.: Judd, C. M.: Estimating the nonlinear and interactive effects of latent variables. Psychol. Bull. 96, 201-210 (1984).
    • (1984) Psychol. Bull. , vol.96 , pp. 201-210
    • Kenny, D.1    Judd, C.M.2
  • 26
    • 77953912358 scopus 로고    scopus 로고
    • King-Kallimanis, B. L., Oort, F. J., Garst, G. J. A.: Using structural equation modelling to detect measurement bias and response shift in longitudinal data. Adv. Stat. Anal. (2010).
  • 27
    • 0034559665 scopus 로고    scopus 로고
    • Maximum likelihood estimation of latent interaction effects with the LMS method
    • Klein, A. G., Moosbrugger, H.: Maximum likelihood estimation of latent interaction effects with the LMS method. Psychometrika 65, 457-474 (2000).
    • (2000) Psychometrika , vol.65 , pp. 457-474
    • Klein, A.G.1    Moosbrugger, H.2
  • 28
    • 54949124739 scopus 로고    scopus 로고
    • Quasi maximum likelihood estimation of structural equation models with multiple interaction and quadratic effects
    • Klein, A. G., Muthén, B. O.: Quasi maximum likelihood estimation of structural equation models with multiple interaction and quadratic effects. Multivar. Behav. Res. 42, 647-673 (2007).
    • (2007) Multivar. Behav. Res. , vol.42 , pp. 647-673
    • Klein, A.G.1    Muthén, B.O.2
  • 29
    • 77953914264 scopus 로고    scopus 로고
    • Klein, A. G., Schermelleh-Engel, K.: Introduction of a new measure for detecting poor fit due to omitted nonlinear terms in SEM. Adv. Stat. Anal. (2010).
  • 30
    • 0038810230 scopus 로고    scopus 로고
    • Model comparison of a nonlinear structural equation model with fixed covariates
    • Lee, S. Y., Song, X. Y.: Model comparison of a nonlinear structural equation model with fixed covariates. Psychometrika 68, 27-47 (2003).
    • (2003) Psychometrika , vol.68 , pp. 27-47
    • Lee, S.Y.1    Song, X.Y.2
  • 32
    • 4344623799 scopus 로고    scopus 로고
    • Structural equation models of latent interactions: Evaluation of alternative estimation strategies and indicator construction
    • Marsh, H. W., Wen, Z. L., Hau, K. T.: Structural equation models of latent interactions: evaluation of alternative estimation strategies and indicator construction. Psychol. Methods 9, 275-300 (2004).
    • (2004) Psychol. Methods , vol.9 , pp. 275-300
    • Marsh, H.W.1    Wen, Z.L.2    Hau, K.T.3
  • 33
    • 0030305541 scopus 로고    scopus 로고
    • Path analysis with composite variables
    • McDonald, R. P.: Path analysis with composite variables. Multivar. Behav. Res. 31, 239-270 (1996).
    • (1996) Multivar. Behav. Res. , vol.31 , pp. 239-270
    • McDonald, R.P.1
  • 34
    • 0001240606 scopus 로고    scopus 로고
    • Commitment in the workplace. Toward a general model
    • Meyer, J. P., Herscovitch, L.: Commitment in the workplace. Toward a general model. Hum. Resour. Manag. Rev. 11, 299-326 (2001).
    • (2001) Hum. Resour. Manag. Rev. , vol.11 , pp. 299-326
    • Meyer, J.P.1    Herscovitch, L.2
  • 37
    • 0037514670 scopus 로고    scopus 로고
    • Comparison of methods for estimating and testing latent variable interactions
    • Moulder, B. C., Algina, J.: Comparison of methods for estimating and testing latent variable interactions. Struct. Equ. Model. 9, 1-19 (2002).
    • (2002) Struct. Equ. Model. , vol.9 , pp. 1-19
    • Moulder, B.C.1    Algina, J.2
  • 39
    • 85069310584 scopus 로고    scopus 로고
    • Estimating nonlinear effects using a latent moderated structural equations approach
    • R. E. Schumacker and G. A. Marcoulides (Eds.), Mahwah: Lawrence Erlbaum
    • Schermelleh-Engel, K., Klein, A., Moosbrugger, H.: Estimating nonlinear effects using a latent moderated structural equations approach. In: Schumacker, R. E., Marcoulides, G. A. (eds.) Interaction and Nonlinear Effects in Structural Equation Modeling, pp. 203-238. Lawrence Erlbaum, Mahwah (1998).
    • (1998) Interaction and Nonlinear Effects in Structural Equation Modeling , pp. 203-238
    • Schermelleh-Engel, K.1    Klein, A.2    Moosbrugger, H.3
  • 41
    • 33846403783 scopus 로고    scopus 로고
    • Bayesian analysis of latent variable models with non-ignorable missing outcomes from exponential family
    • Song, X. Y., Lee, S. Y.: Bayesian analysis of latent variable models with non-ignorable missing outcomes from exponential family. Stat. Med. 26, 681-693 (2007).
    • (2007) Stat. Med. , vol.26 , pp. 681-693
    • Song, X.Y.1    Lee, S.Y.2
  • 42
    • 48749096408 scopus 로고    scopus 로고
    • Component-based structural equation modelling
    • Tenenhaus, M.: Component-based structural equation modelling. Total Qual. Manag. 19, 871-886 (2008).
    • (2008) Total Qual. Manag. , vol.19 , pp. 871-886
    • Tenenhaus, M.1
  • 44
    • 0001098205 scopus 로고
    • Estimation of principal components and related models by iterative least squares
    • P. R. Krishnaiah (Ed.), New York: Academic Press
    • Wold, H.: Estimation of principal components and related models by iterative least squares. In: Krishnaiah, P. R. (ed.) Multivariate Analysis, pp. 391-420. Academic Press, New York (1966).
    • (1966) Multivariate Analysis , pp. 391-420
    • Wold, H.1
  • 45
    • 0002692783 scopus 로고
    • Soft modelling by latent variables: The non-linear iterative partial least squares (NIPALS) approach
    • J. Gani (Ed.), London: Academic Press
    • Wold, H.: Soft modelling by latent variables: the non-linear iterative partial least squares (NIPALS) approach. In: Gani, J. (ed.) Perspectives in Probability and Statistics: Papers in Honour of M. S. Bartlett, pp. 117-142. Academic Press, London (1975).
    • (1975) Perspectives in Probability and Statistics: Papers in Honour of M.S. Bartlett , pp. 117-142
    • Wold, H.1
  • 46
    • 0001877951 scopus 로고
    • Soft modeling: The basic design and some extensions
    • K. G. Jöreskog and H. Wold (Eds.), Amsterdam: North-Holland
    • Wold, H.: Soft modeling: the basic design and some extensions. In: Jöreskog, K. G., Wold, H. (eds.) Systems Under Indirect Observation, Part 2, pp. 1-54. North-Holland, Amsterdam (1982).
    • (1982) Systems Under Indirect Observation, Part 2 , pp. 1-54
    • Wold, H.1
  • 47
    • 0000781020 scopus 로고
    • Partial least squares
    • S. Kotz and N. L. Johnson (Eds.), New York: Wiley
    • Wold, H.: Partial least squares. In: Kotz, S., Johnson, N. L. (eds.) Encyclopedia of Statistical Sciences, vol. 6, pp. 581-591. Wiley, New York (1985).
    • (1985) Encyclopedia of Statistical Sciences , vol.6 , pp. 581-591
    • Wold, H.1


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