REFERENCES
- Bartholomew, D. J. (1996). The statistical approach to social measurement. New York, NY: Academic.
- Bollen, K. A. (1989). Structural equations with latent variables. New York, NY: Wiley.
- Hancock, G. R., & Mueller, R. O. (2001). Rethinking construct reliability within latent variable systems. In R. Cudeck, S. Du Toit, & D. Sörbom (Eds.), Structural equation modeling: Present and future: A Festschrift in honor of Karl Jöreskog. Lincolnwood, IL: Scientific Software International, Inc.
- Johnson, D. W., & Wichern, D. L. (2002). Applied multivariate analysis. Upper Saddle River, NJ: Prentice-Hall.
- Jöreskog, K. G. (1971). Statistical analysis of sets of congeneric tests. Psychometrika, 36, 109–133. doi:10.1007/BF02291393
- Li, H. (1997). A unifying expression for the maximal reliability of a linear composite. Psychometrika, 62, 245–249. doi:10.1007/BF02295278
- Li, H., Rosenthal, R., & Rubin, D. B. (1996). Reliability of measurement in psychology: From Spearman–Brown to maximal reliability. Psychological Methods, 1, 97–108. doi:10.1037/1082-989X.1.1.98
- McDonald, R. P. (1999). Test theory: A unified treatment. Mahwah, NJ: Erlbaum.
- Messick, S. (1995). Validation of inferences from persons’ responses and performances as scientific inquiry into score meaning. American Psychologist, 50, 741–749. doi:10.1037/0003-066X.50.9.741
- Mulaik, S. (2009). Factor analysis. New York, NY: Taylor & Francis.
- Muthén, B. O. (2002). Beyond SEM: General latent variable modeling. Behaviormetrika, 29, 81–117. doi:10.2333/bhmk.29.81
- Muthén, L. K., & Muthén, B. (2015). Mplus user’s guide. Los Angeles, CA: Muthén & Muthén.
- Penev, S., & Raykov, T. (2006). On the relationship between maximal reliability and maximal validity for linear composites. Multivariate Behavioral Research, 41, 105–126. doi:10.1207/s15327906mbr4102_1
- Rao, R. C. (1973). Linear statistical inference and its applications. New York, NY: Wiley.
- Raykov, T. (2012). Scale development using structural equation modeling. In R. Hoyle (Ed.), Handbook of structural equation modeling (pp. 472–492). New York, NY: Guilford.
- Raykov, T., and Gabler, S., & Dimitrov, D.M. (2016). Maximal criterion validity and scale criterion validity: A latent variable modeling approach for examining their difference. Structural Equation Modeling. Advanced online publicaiton.
- Raykov, T., & Marcoulides, G. A. (2011). Introduction to psychometric theory. New York, NY: Taylor & Francis.
- Raykov, T., Rodenberg, C. N., & Narayanan, A. (2015). Optimal shortening of psychometric scales. Structural Equation Modeling, 22, 227–235. doi:10.1080/10705511.2014.935927
- Williams, R. H., & Zimmerman, D. W. (1977). The reliability of difference scores when errors are correlated. Educational and Psychological Measurement, 77, 679–689. doi:10.1177/001316447703700310
- Zimmerman, D. W. (1975). Probability spaces, Hilbert spaces, and the axioms of classical test theory. Psychometrika, 40, 395–412. doi:10.1007/BF02291765