Temeljni literatura in viri
Obvezna literatura:
1. Milfelner, Borut. (2023). Tehnike za zagotavljanje veljavnosti in zanesljivosti podatkov v marketinških raziskavah in analiza podatkov v marketingu. 1. izd. Maribor: Univerza v Mariboru, Univerzitetna založba
2. Byrne, M.B. (2016). Structural Equation Modeling with Amos. Basic Concepts, Applications, and Programming. New York: Routhledge.
3. Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115-135.
4. Baumgartner, H., & Homburg, C. (1996). Applications of structural equation modeling in marketing and consumer research: A review. International Journal of Research in Marketing, 13(2), 139-161.
5. Bagozzi, R. P., Yi, Y., & Phillips, L. W. (1991). Assessing construct validity in organizational research. Administrative Science Quarterly, 421-458.
Dodatna literatura:
1. Churchill, G. A. 1979. A paradigm for developing better measures of marketing constructs. Journal of Marketing Research, 16: 64-73.
2. Bagozzi, Richard P., Youjae Yi, and Lynn W. Phillips (1991), “Assessing construct validity in organizational research,” Administrative Science Quarterly, 36, 421-458.
3. Anderson, James C. and David W. Gerbing (1988), “Structural equation modeling in practice: A review and recommended two-step approach,” Psychological Bulletin, 103 (3), 411-423.
4. Bagozzi, Richard P. and Hans Baumgartner (1994), “The evaluation of structural equation models and hypothesis testing,” in: Richard P. Bagozzi (ed.), Principles of marketing research, Cambridge, MA: Blackwell Publishers, 386-422.
5. Bollen, K. A. & Lennox, R. 1991. Conventional wisdom on measurement: A structural equation perspective. Psychological Bulletin, 110: 305-314.
6. Diamantopoulos, A. & Siguaw, J.A. 2006. Formative versus reflective indicators in organizational measure development: A comparison and empirical illustration. Modelling in Management, 1(1): 7-17.
