Simulation study for pls path modelling with high-order construct: A job satisfaction model evidence

Studies in Computational Intelligence

Volumn 448, Issue , 2013, Pages 185-207

  Ciavolino, Enrico ^a   Nitti, Mariangela ^a  

^a UNIVERSITY OF SALENTO   (Italy)

Author keywords

high order latent variables; job satisfaction; Monte Carlo simulation; Partial least squares; structural equation model

Indexed keywords

EID: 84870468161     PISSN: 1860949X     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-32903-6_14     Document Type: Conference Paper

References (20)

1. Agarwal, R., Karahanna, E.: Time flies when you're having fun: Cognitive absorption and beliefs about information technology usage. MIS Quarterly 24(4), 665-694 (2000)
2. Carpita, M.: The Quality of Work in Social Cooperatives, Measurements and Statistical Models, Franco Angeli, Milan, Italy (2009)
3. Carpita, M., Vezzoli, M.: Measures and drivers of the job satisfaction. In: MTISD 2010, Book of short papers (2010)
4. 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 adoption study. Information Systems Research 14(2), 189-217 (2003)
5. Ciavolino, E., Al-Nasser, A.D.: Comparing generalized maximum entropy and partial least squares methods for structural equation models. Journal of Nonparametric Statistics 21(8), 1017-1036 (2009)
6. Cohen, J.: Statistical Power Analysis for the Behavioural Sciences, 2nd edn. Lawrence Erlbaum Associates, Hillsdale (1988)
7. Diamantopoulos, A., Winklhofer, H.M.: Index construction with formative indicators: An alternative to scale development. Journal of Marketing Research 38(2), 269-277 (2001)
8. Esposito Vinzi, V., Chin, W.W., Henseler, J., Wang, H.: Handbook of Partial Least Squares. Concepts, Methods and Applications, New York. Springer Handbooks of Computational Statistics (2010)
9. Henseler, J., Chin, W.W.: A comparison of approaches for the analysis of interaction effects between latent variables using partial least squares path modeling. StructuralEquation Modeling: A Multidisciplinary Journal 17(1), 82-109 (2010)
10. Hulland, J., Ryan, M.J., Rayner, R.K.: Modeling customer satisfaction: a comparative performance evaluation of covariance structure analysis versus partial least squares. In: Handbook of Partial Least Squares, New York. Springer Handbooks of Computational Statistics (2010)
11. Jarvis, C.B., MacKenzie, S.B., Podsakoff, P.M.: A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research. Journal of Consumer Research 30, 199-218 (2003)
12. Judge, T.A., Hulin, C.L.: Job satisfaction as a reflection of disposition: A multiplesourcecausal analysis. Organizational Behavior and Human Decision Processes 56, 388-421 (1993)
13. Lohmöller, J.B.: Latent Variable Path Modeling with Partial Least Squares. Physica- Verlag, Heidelberg (1989)
14. Murry, J.P., Dacin, P.A.: Cognitive Moderators of Negative-Emotion Effects:Implications for Understanding Media Context. Journal of Consumer Research 22, 439-446 (1996)
15. Rajala, R., Westerlund, M.: Antecedents to consumers' acceptance of mobileadvertisements - a hierarchical construct PLS structural equation model. In: The 43rd Hawaii International Conference on System Sciences (HICSS), January 5-8 (2010)
16. Reinartz, W.J., Echambadi, R., Chin, W.W.: Generating non-normal data for simulation of structural equation models using Mattson's method. MultivariateBehavioural Research 37(2), 227-244 (2002)
17. Reinartz, W., Krafft, M., Hoyer, W.D.: The customer relationship management process: Its measurement and impact on performance. Journal of Marketing Research 41(3), 293-305 (2004)
18. Shimp, T.A., Kavas, A.: The theory of reasoned action applied to coupon usage. Journal of Consumer Research, 795- 809 (1984)
19. Wold, H.: Estimation of principal components and related models by iterative leastsquares. In: Krishnajah, P.R. (ed.) Multivariate Analysis, pp. 391-420. AcademicPress, New York (1966)
20. Wold, H.: Path models with latent variables: The NIPALS approach. In: Blalock, H.M. (ed.) Quantitative Sociology, pp. 307-357. Seminar Press, NewYork (1975)