Structural equation modeling in rehabilitation counseling research

Rehabilitation Counseling Bulletin

Volumn 51, Issue 1, 2007, Pages 44-57

  Chan, Fong ^a   Lee, Gloria K ^b   Lee, Eun Jeong ^c   Kubota, Coleen ^a   Allen, Chase A ^a  

^a UNIVERSITY OF WISCONSIN MADISON   (United States)

^b UNIVERSITY AT BUFFALO   (United States)

^c ILLINOIS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 36049046744     PISSN: 00343552     EISSN: None     Source Type: Journal    
DOI: 10.1177/00343552070510010701     Document Type: Article

References (32)

1. Arbuckle, J., & Wothke, W. (1999). AMOS 4 user's reference guide. Chicago: Smallwaters Corp.
2. Banks, S., & Kerns, R. (1996). Explaining high rates of depression in chronic pain: A diathesis-stress framework. Psychological Bulletin, 119(1), 95-110.
3. Beck, A. (1967). Depression. New York: Harper & Row.
4. Beck, A. (1987). Cognitive models of depression. Journal of Cognitive Psychotherapy, 1(1), 5-37.
5. Bentler, P. M. (1995). EQS structural equations program manual. Encino, CA: Multivariate Software.
6. Bentler, P. M., & Chou, C. P. (1987). Practical issues in structural equation modeling. Sociobgical Methods & Research, 16, 78-117.
7. Bishop, M., Berven, N. L., Hermann, B. P., & Chan, F. (2002). Quality of life among adults with epilepsy: An exploratory model. Rehabilitation Counseling Bulletin, 45, 87-95, 113.
8. Bollen, K. A. (1989), A new incremental fit index for general structural equation models. Sociobgical Methods and Research, 17, 303-317.
9. Brookings, J. B., & Bolton, B. (2000). Confirmatory factor analysis of a measure of intrapersonal empowerment. Rehabilitation Psychology, 45, 292-298.
10. Byrne, B. M. (2001). Structural equation modeling with AMOS. Basicconcepts, applications, and programming. Mahwah, NJ: Erlbaum.
11. Carmines, E. G. & Mclver, J. P. (1981), Analyzing models with unobservable variables. In G. W. Bohrnstedt & E. F. Borgatta, (Eds.), Social measurement: Current issues (pp. 65-115). Beverly Hills, CA: Sage.
12. Harland, N. J., & Georgieff, K. (2003). Development of the Coping Strategies Questionnaire 24, a clinically utilitarian version of the Coping Strategies Questionnaire. Rehabilitation Psychology, 48, 296-300.
13. Keefe, F.J., Rumble, M.E., Scipio, CD., Giordano, L.A., & Perri, L.M. (2004). Psychological aspects of persistent pain: current state of the science. Journal of Pain, 5, 195-211.
14. Kosciulek, J. F. (2005). Structural equation model of the consumerdirected theory of empowerment in a vocational rehabilitation context. Rehabilitation Counseling Bulletin, 49, 40-49.
15. Kosciulek, J. F., & Merz, M. A. (2001). Structural analysis of the consumer-directed theory of empowerment. Rehabilitation Counseling Bulletin, 44, 209-216.
16. Landis, R. S., Beal, D. L., & Tesluck, P. E. (2000). A comparison of approaches to form composite measures in structural equation models. Organisational Research Methods, 3, 186-207.
17. MacCallum, R. C., & Austin, J. T. (2001). Applications of structural equation modeling in psychology research. Annual Review of Psychology, 51, 201-226.
18. MacCallum, R. C., Browne, M. W., & Sugawara, H. M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological Methods, 1, 130-149.
19. Martens, M. P. (2005). The use of structural equation modeling in counseling psychology research. Counseling Psychologist, 33, 269-298.
20. McDonald, R. P., & Ho, M. R. (2002). Principles and practices in reporting structural equation analyses. Psychological Methods, 7, 64-82.
21. Miller, M. A., & Rahe, R. H. (1997). Life changes scaling for the 1990s. Journal of Psychosomatic Research, 43, 279-292.
22. Mueller, R. O. (1996). Basic principles of structural equation modeling. An introduction to LISREL and EQS. New York: Springer.
23. Price, D. D., Harkins, S. W., & Baker, C. (1987). Sensory-affective relationships among different types of clinical and experimental pain. Pain, 28, 297-307.
24. Quintana, S. M., & Maxwell, S. E. (1999). Implications of recent developments in structural equation modeling for counseling psychology. Counseling Psychologist, 27, 485-527.
25. Radloff, L. S. (1977). The CES-D scale: A self-report depression scale for research in the general population. Applied Psychological Measurement, 1, 385-401.
26. Rosenstiel, A. K., & Keefe, F. J. (1983). The use of coping strategies in chronic low back pain patient: Relationship to patients' characteristics and current adjustment, Pain, 17, 33-44.
27. Sherboume, CD. (1992). Pain measures. In A. L. Stewart & J. E. Ware, Jr. (Eds.), Measuring/unctioning and well-being: The Medical Outcomes Study approach (pp. 220-234). Durham, NC: Duke University Press.
28. Steiger, J. H. (2001). Driving fast in reverse: The relationship between software development, theory, and education in structural equation modeling. Journal o/ the American Statistical Association, 96, 331-338.
29. Strohmer, D. C., & Leierer, S. J. (2000). Modeling rehabilitation counselor clinical judgment. Rehabilitation Counseling Bulletin, 44, 3-9.
30. Tomarken, A. J., & Waller, N. G. (2005). Structural equation modeling: Strengths, limitations, and misconceptions. Annual Review of Clinical Psychology, 1, 31-65.
31. Ullman, J. B. (2001). Structural equation modeling. In B. G. Tabachnick & L. S. Fidell (Eds.), Using multivariate statistics (4th ed., pp. 653-771). Boston, MA: Allyn & Bacon.
32. Yuan, K.-H., & Bentler, P. M. (2001). Effect of outliers on estimators and tests in covariance structure analysis. British Journal of Mathematical and Statistical Psychology, 54, 161-175.