Nonlinear structural equation models with the theory of planned behavior: Comparison of multiple group and latent product term analyses

Quality and Quantity

Volumn 36, Issue 2, 2002, Pages 93-112

  Reinecke, Jost ^a  

^a UNIVERSITY OF MÜNSTER   (Germany)

Author keywords

Latent product terms; Multiple group comparison; Structural equation models; Theory of Planned Behavior

Indexed keywords

EID: 0036109151     PISSN: 00335177     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1014976022227     Document Type: Article

References (34)

1. Ajzen, I. (1988). Attitudes, personality, and behavior. Series: Mapping social psychology (Tony Manstead). Milton Keynes: Open University Press.
2. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes 50: 179-211.
3. Ajzen, I. & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Englewood-Cliffs, NJ: Prentice-Hall.
4. Baumgartner, H. & Baggozi, R. P. (1995). Specification, estimation, and testing of moment structure models based on latent variates involving interactions among the exogenous constructs. Sociological Methods & Research 24: 187-213.
5. Bentler, P. M. & Dudgeon, P. (1996). Covariance structure analysis: Statistical practice, theory, and directions. Annual Review of Psychology 47: 563-592.
6. Bollen, K. A. (1989). Structural equations with latent variables. New York: Wiley.
7. Bollen, K. A. (1995). Structural equation models that are nonlinear in latent variables: A least-squares estimator. Sociological Methodology 25: 223-251.
8. Bollen, K. & Paxton, P. (1998a). Interactions of latent variables in structural equation models. Structural Equation Modeling 5: 267-293.
9. Bollen, K. & Paxton, P. (1998b). Two-stage least squares estimation of interaction effects. In R. E. Schumacker & G. A. Marcoulides (eds), Interaction and nonlinear effects in structural equation modeling. Mahwah: Lawrence Erlbaum, pp. 125-151.
10. Browne, M. W. & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (eds), Testing structural equation models. Newbury Park: Sage, pp. 136-162.
11. Hayduk, L. A. (1987). Structural equation modeling with LISREL. Baltimore: John Hopkins University Press.
12. Hübner, M., Münch, K., Reinecke, J. & Schmidt, P. (1998). [Contraception and sexuality of adolescents and young adults. A representative trend and panel study.] Kontrazeption und Sexualität Jugendlicher und junger Erwachsener Eine repräsentative Wiederholungsbefragung. Reihe: Forschung und Prakis der Sexualaufklärung und Familienplanung. Bundeszentrale für gesundheitliche Aufklärung, Köln.
13. Jaccard, J. & Wan, C. K. (1996). LISREL approaches to interaction effects in multiple regression. Newbury Park: Sage.
14. Jöreskog, K. G. & Sörbom, D. (1993a). LISREL8 - User's reference guide. Chicago: Scientific Software.
15. Jöreskog, K. G. & Sörbom, D. (1993b). PRELIS2 - User's reference guide. Chicago: Scientific Software.
16. Jöreskog, K. G., Sörbom, D., du Toit, S., & du Toit, M. (2000). LISREL8 - New statistical features. Chicago: Scientific Software.
17. Jöreskog, K. G. & Yang, F. (1996). Nonlinear structural equation models: The Kenny-Judd model with interaction effects. In G. A. Macoulides & R. E. Schumacker (eds), Advanced structural equation modeling. Issues and techniques. Hillsdale: Lawrence Erlbaum, pp. 57-88.
18. Kenny, D. A. & Judd, C. M. (1984). Estimating the nonlinear and interactive effects of latent variables. Psychological Bulletin 96: 201-210.
19. Klein, A., Moosbrugger, H., Schermelleh-Engel, K. and Frank, D. (1997). A new approach to the estimation of latent interaction effects in structural equation models. In W. Bandilla & F. Faulbaum (eds), SoftStat '97. Advances in statistical software 6. Stuttgart: Lucius & Lucius, pp. 479-486.
20. Neale, M. C. (1995). Mx: Statistical modeling. Box 710MCV, Richmond, VA 23298: Department of Psychiatry, 3rd edition.
21. Ping, R. A. (1995). A parsimonious estimating technique for interaction and quadratic latent variables. The Journal of Marketing Research 32: 336-347.
22. Ping, R. A. (1996a). Latent variable interaction and quadratic effect estimation: A two-step technique using structural equation analysis. Psychological Bulletin 119: 166-175.
23. Ping, R. A. (1996b). Latent variable regression: A technique for estimating interaction and quadratic coefficients. Multivariate Behavioral Research 31: 95-120.
24. Ping, R. A. (1998). EQS and LISREL examples using survey data. In R. E. Schumacker & G. A. Marcoulides (eds), Interaction and nonlinear effects in structural equation modeling. Mahwah: Lawrence Erlbaum, pp. 63-100.
25. Reinecke, J., Schmidt, P. & Ajzen I. (1996). Application of the theory of planned behavior to adolescents' condom use: A panel study. Journal of Applied Social Psychology 26: 749-772.
26. Rigdon, E. E., Schumacker, R. E. & Wothke, W. (1998). A Comparative Review of Interaction and Nonlinear Modeling. In R. E. Schumacker & G. A Marcoulides (eds), Interaction and Nonlinear Effects in Structural Equation Modeling. Mahwah: Lawrence Erlbaum, pp. 1-16.
27. Rindskopf, D. (1984). Using phantom and imaginary latent variables to parameterize constraints in linear structural models. Psychometrika 49: 37-47.
28. Satorra, A. & Bentler, P. M. (1988). Scaling corrections for chi-square statistics in covariance structure analysis. Proceedings of the Business and Economic Statistics Section of the American Statistical Association, pp. 308-313.
29. Satorra, A. & Bentler, P. M. (1994). Corrections to test statistics and standard errors in covariance structure analysis. In A. von Eye & C. C. Clogg (eds), Latent variable analysis: Applications for developmental research. Thousand Oaks: Sage, pp. 399-419.
30. Schermelleh-Engel, K., Klein, A. & Moosbrugger, H. (1998). Estimating nonlinear effects using a latent moderated structural equations approach. In R. E. Schumacker & G. A. Marcoulides (eds), Interaction and nonlinear effects in structural equation modeling. Mahwah: Lawrence Erlbaum, pp. 203-238.
31. Schumacker, R. E. & Marcoulides, G. A. (eds) (1998). Interaction and nonlinear effects in structural equation modeling. Mahwah: Lawrence Erlbaum.
32. van den Putte, B. & J. Hoogstraten (1997). Applying structural equation modeling in the context of the theory of reasoned action. Structural Equation Modeling 4: 320-337.
33. Yang Jonsson, F. (1997). Non-linear structural equation models. Simulation Studies of the Kenny-Judd Model. Uppsala: Studia Statistica Upsaliensia.
34. Yang Jonsson, F. (1998). Modeling interaction and nonlinear effects: A step-by-step LISREL example. In R. E. Schumacker & G. A. Marcoulides (eds), Interaction and nonlinear effects in structural equation modeling. Mahwah: Lawrence Erlbaum, pp. 17-42.