Implications of parcel-allocation variability for comparing fit of item-solutions and parcel-solutions

Structural Equation Modeling

Volumn 18, Issue 4, 2011, Pages 554-577

  Sterba, Sonya K ^a  

^a VANDERBILT UNIVERSITY   (United States)

Author keywords

Confirmatory factor analysis; Model fit; Parcel allocation variability; Parceling

Indexed keywords

EID: 84855806187     PISSN: 10705511     EISSN: None     Source Type: Journal    
DOI: 10.1080/10705511.2011.607073     Document Type: Article

References (24)

1. Bagozzi, R. P., & Edwards, J. R. (1998). A general approach for representing constructs in organizational research. Organizational Research Methods, 1, 45-87.
2. Bandalos, D. L. (2002). The effects of item parceling on goodness-of-fit and parameter estimate bias in structural equation modeling. Structural Equation Modeling, 9, 78-102.
3. Bandalos, D. L., & Finney, S. J. (2001). Item parceling issues in structural equation modeling. In G. A. Marcoulides and R. E. Schumacker (Eds.), New developments and techniques in structural equation modeling (pp. 269-297). Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
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, 139-161.
5. Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 136-162). London, England: Sage.
6. Hall, R. J., Snell, A. F., & Foust, M. S. (1999). Item parceling strategies in SEM: Investigating the subtle effects of unmodeled secondary constructs. Organizational Research Methods, 2, 233-256.
7. Hau, K.-T., & Marsh, H. W. (2004). The use of item parcels in structural equation modeling: Non-normal data and small sample sizes. British Journal of Mathematical and Statistical Psychology, 57, 327-351.
8. Hulland, J., Chow, Y. H., & Lam, S. (1996). Use of causal models in marketing research: A review. International Journal of Research in Marketing, 13, 181-197.
9. Kim, S., & Hagtvet, K. A. (2003). The impact of misspecified item parceling on representing latent variables in covariance structure modeling: A simulation study. Structural Equation Modeling, 10, 101-127.
10. Landis, R. S., Beale, D. J., & Tesluk, P. E. (2000). A comparison of approaches to forming composite measures in structural equation modeling. Organizational Research Methods, 3, 186-207.
11. Lee, D. (2005). Calls for multiple indices incorporating multiculturalism in content analysis. The Counseling Psychologist, 33, 349-357.
12. MacCallum, R. C., & Austin, J. T. (2000). Applications of structural equation modeling in psychological research. Annual Reviews of Psychology, 51, 201-226.
13. MacCallum, R. C., & Tucker, L. R (1991). Representing sources of error in the common-factor model: Implications for theory and practice. Psychological Bulletin, 109, 502-511.
14. Martens, M. P. (2005). The use of structural equation modeling in counseling psychology research. The Counseling Psychologist, 33, 269-298.
15. Muthén, L. K., & Muthén, B. O. (1998-2008). Mplus user's guide (5th ed.). Los Angeles, CA: Muthén & Muthén.
16. Nasser, F., & Wisenbaker, J. (2003). A Monte Carlo study investigating the impact of item parceling on measures of fit in confirmatory factor analysis. Educational and Psychological Measurement, 63, 729-757.
17. Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). New York, NY: McGraw-Hill.
18. Rogers, W. M., & Schmitt, N. (2004). Parameter recovery and model fit using multidimensional composites: A comparison of four empirical parceling algorithms. Multivariate Behavioral Research, 39, 379-412.
19. Sass, D. A., & Smith, P. L. (2006). The effects of parceling unidimensional scales on structural parameter estimates in structural equation modeling. Structural Equation Modeling, 13, 566-586.
20. Steiger, J. H., & Lind, J. M. (1980, May). Statistically based tests for the number of common factors. Paper presented at the annual meeting of the Psychometric Society, Iowa City, IA.
21. Sterba, S. K., & MacCallum, R. C. (2010). Variability in parameter estimates and model fit across random allocations of items to parcels. Multivariate Behavioral Research, 45, 322-358.
22. Takahashi, T., & Nasser, F. (1996, April). The impact of using item parcels on ad hoc goodness of fit indices in confirmatory factor analysis: An empirical example. Paper presented at the annual meeting of the American Educational Research Association, New York, NY.
23. Thompson, B., & Melancon, J. G. (1996). Using item "Testlet"/"Parcels" in confirmatory factor analysis: An example using the PPSDQ-78. (ERIC Document ED 404349)
24. Williams, L. J., & O'Boyle, E. H. (2008). Measurement models for linking latent variables and indicators: A review of human resource management research using parcels. Human Resource Management Review, 18, 233-242.