Structural equation modeling (SEM) has become increasingly popular in counseling, psychology, and rehabilitation research. The purpose of this article is to provide an overview of the basic concepts and applications of SEM in rehabilitation counseling research using the AMOS statistical software program.
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.
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. Sociological 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. Basic concepts, applications, and programming. Mahwah, NJ: Erlbaum.
11.
Carmines, E.G. & McIver, 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, C.D., Giordano, L.A., & Perri, L.M. (2004). Psychological aspects of persistent pain: current state of the science. Journal ofPain, 5, 195-211.
14.
Kosciulek, J.F. (2005). Structural equation model of the consumer-directed 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. Organizational Research Methods , 3, 186—207.
17.
MacCallum, R.C., & Austin, J.T. (2001). Applications of structural equation modeling in psychology research. Annual Review ofPsychology, 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.
Sherbourne, C.D. (1992). Pain measures. In A. L. Stewart & J. E. Ware, Jr. (Eds.), Measuring functioning 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 of the American Statistical Association,96, 331—338.
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.
