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Global Perspective (Vol. 7) - Upper Saddle River, NJ: Pearson

This document discusses four sources related to measurement models and multivariate data analysis. The sources cover issues with misspecifying measurement models, multivariate data analysis techniques, psychometric theory, and methods for assessing discriminant validity in structural equation modeling.

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Azmi Rahman
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0% found this document useful (0 votes)
30 views1 page

Global Perspective (Vol. 7) - Upper Saddle River, NJ: Pearson

This document discusses four sources related to measurement models and multivariate data analysis. The sources cover issues with misspecifying measurement models, multivariate data analysis techniques, psychometric theory, and methods for assessing discriminant validity in structural equation modeling.

Uploaded by

Azmi Rahman
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as DOCX, PDF, TXT or read online on Scribd
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MacKenzie, S. B., Podsakoff, P. M., & Jarvis, C. B. (2005).

The problem of measurement model


misspecification in behavioral and organizational research and some recommended
solutions. Journal of Applied Psychology, 90(4), 710.

Hair, J. F., Anderson, R. E., Babin, B. J., & Black, W. C. (2010). Multivariate data analysis: A
global perspective (Vol. 7). Upper Saddle River, NJ: Pearson.

Nunnally, J. (1994). Bernstein (1994), Psychometric Theory. New York .

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.

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