SPSS and SAS programs for generalizability theory analyses

Behavior Research Methods

Volumn 38, Issue 3, 2006, Pages 542-547

  Mushquash, Christopher ^a   O'Connor, Brian P ^a  

^a LAKEHEAD UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; COMPUTER PROGRAM; INFORMATION PROCESSING; LEARNING; METHODOLOGY; PSYCHOLOGICAL THEORY; PSYCHOLOGY; STATISTICS;

AUTOMATIC DATA PROCESSING; GENERALIZATION (PSYCHOLOGY); PSYCHOLOGICAL THEORY; PSYCHOLOGY; SOFTWARE; STATISTICS;

EID: 33947542298     PISSN: 1554351X     EISSN: None     Source Type: Journal    
DOI: 10.3758/BF03192810     Document Type: Conference Paper

References (18)

1. BLASCOVICH, J., & TOMAKA, J. (1991). Measures of self-esteem. In J. P. Robinson, P. R. Shaver, & L. S. Wrightsman (Eds.), Measures of personality and social psychological attitudes (pp. 115-160). New York: Academic Press.
2. BRENNAN, R. L. (2000a), (Mis)conceptions about generalizability theory. Educational Measurement: Issues & Practice, 19, 5-10.
3. BRENNAN, R. L. (2000b). Performance assessments from the perspective of generalizability theory. Applied Psychological Measurement, 24, 339-353.
4. BRENNAN, R. L. (2001). Generalizability theory. New York: Springer.
5. CRICK, J. E., & BRENNAN, R. L. (1983). Manual for GENOVA: A generalized analysis of variance system (American College Testing Technical Bulletin 43). Iowa City: ACT, Inc.
6. CRONBACH, L. J., GLESER, G. C., NANDA, H., & RAJARATNAM, N. (1972). The dependability of behavioral measurements: Theory of generalizability of scores and profiles. New York: Wiley.
7. EASON, S. (1991). Why generalizability theory yields better results than classical test theory: A primer with concrete examples. In B. Thompson (Ed.), Advances in educational research: Substantive findings, methodological developments (Vol. 1, pp. 83-98). Greenwich, CT: JAI.
8. HOYT, W. T., & MELBY, J. N. (1999). Dependability of measurement in counseling psychology: An introduction to generalizability theory. Counseling Psychologist, 27, 325-352.
9. KIEFFER, K. M. (1999). Why generalizability theory is essential and classical test theory is often inadequate. In B. Thompson (Ed.), Advances in social science methodology (Vol. 5, pp. 149-170). Stamford, CT: JAI.
10. MARCOULIDES, G. A. (1999). Generalizability theory: Picking up where the Rasch IRT model leaves off? In S. E. Embretson & S. L. Hershberger(Eds.), The new rules of measurement: What every psychologist and educator should know (pp. 129-152). Mahwah, NJ: Erlbaum.
11. MARCOULIDES, G. A. (2000). Generalizability theory. In H. E. A. Tinsley & S. D. Brown (Eds.), Handbook of applied multivariate statistics and mathematical modeling (pp. 527-551). San Diego: Academic Press.
12. ROSENBERG, M. (1979). Conceiving the self. New York: Basic Books.
13. SEARLE, S. R., CASELLA, G., & MCCULLOCH, C. E. (1992). Variance components. New York: Wiley.
14. SHAVELSON, R. J., & WEBB, N. M. (1991). MMSS generalizability theory: A primer. Newbury Park, CA: Sage.
15. SHAVELSON, R. J., WEBB, N. M., & ROWLEY, G. L. (1989). Generalizability theory. American Psychologist, 44, 922-932.
16. SHROUT, P. E., & FLEISS, J. L. (1979). Intraclass correlations: Uses in assessing rater reliability. Psychological Bulletin, 86, 420-428.
17. STRUBE, M. J. (2000). Reliability and generalizability theory. In L. G. Grimm & P. R. Yarnold (Eds.), Reading and understanding more multivariate statistics (pp. 23-66). Washington, DC: American Psychological Association.
18. WEBB, N. M., ROWLEY, G. L., & SHAVELSON, R. J. (1988). Using generalizability theory in counseling and development. Measurement & Evaluation in Counseling & Development, 21, 81-90.