Impact of post hoc measurement model overspecification on structural parameter integrity

Educational and Psychological Measurement

Volumn 66, Issue 5, 2006, Pages 748-764

  Fan, Weihua ^a   Hancock, Gregory R ^a  

^a UNIVERSITY OF MARYLAND   (United States)

Author keywords

Lagrange multiplier (LM) tests; Modification indices; Overspecification; Structural equation modeling

Indexed keywords

EID: 33748065986     PISSN: 00131644     EISSN: 15523888     Source Type: Journal    
DOI: 10.1177/0013164405285908     Document Type: Article

References (15)

1. Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103, 411-423.
2. Bentler, P. M. (1998). EQS: Structural equations program. Encino, CA: Multivariate Software Inc.
3. Chong, V. K., & Chong, K. M. (2002). Budget goal commitment and informational effects of budget participation on performance: A structural equation modeling approach. Behavioral Research in Accounting, 14, 65-86.
4. Hancock, G. R. (1999). A sequential Scheffé-type respecification procedure for controlling Type I error in exploratory structural equation model modification. Structural Equation Modeling: A Multidisciplinary Journal, 6, 158-168.
5. Joiner, A. T., Leveson, L., & Langfield-Smith, L. (2002). Technical language, advice understandability, and perceptions of expertise and trustworthiness: The case of the financial planner. Australian Journal of Management, 27, 25-44.
6. Kerlinger, F. (1986). Foundations of behavioral research (3rd ed.). New York: Freeman.
7. King, L. A., King, D. W., Fairbank, J. A., Keane, T. M., & Adams, G. A. (1998). Resilience-recovery factors in post-traumatic stress disorder among female and male Vietnam veterans: Hardiness, postwar social support,and additionalstressful life events. Journalof Personality andSocialPsychology, 74, 420-434.
8. Kline, R. B. (2004). Principles andpractice of structural equationmodeling (2nded.). New York: Guilford.
9. MacCallum, R. C., Roznowski, M., & Necowitz, L. B. (1992). Model modifications in covariance structure analysis: The problem of capitalization on chance. Psychological Bulletin, 111, 490-504.
10. Mattanah, J. F., Hancock, G. R., & Brand, B. L. (2004). Parental attachment, separation-individuation, and college student adjustment: A structural equation analysis of mediational effects. Journal of Counseling Psychology, 51, 213-225.
11. Mulaik, S. A., & Millsap, R. E. (2000). Doing the four-step right. Structural Equation Modeling: A Multidisciplinary Journal, 8, 36-73.
12. Newcomb, M. D., & Bentler, P. M. (1988). Impact of adolescent drug use and social support on problems of young adults: A longitudinal study. Journal of Abnormal Psychology, 97, 64-75.
13. Paxton, P., Curran, P., Bollen, K., Kirby, J., & Chen, F. (2001). Monte Carlo experiments: Design and implementation. Structural Equation Modeling: A Multidisciplinary Journal, 8, 287-312.
14. Schumacker, R. R., & Lomax, R. G. (2004). A beginner's guide to structural equation modeling (2nd ed.). Mahwah, NJ: Lawrence Erlbaum.
15. Whang, P. A., & Hancock, G. R. (1994). Motivation and mathematics achievement: Comparisons between Asian-American and non-Asian students. Contemporary Educational Psychology, 19, 302-322.