An investigation of the sampling distributions of equating coefficients

Applied Psychological Measurement

Volumn 20, Issue 1, 1996, Pages 45-57

  Baker, Frank B ^a  

^a UNIVERSITY OF WISCONSIN MADISON   (United States)

Author keywords

Anchor items; Characteristic curve method; Common metric; Equating coefficients; Sampling distributions; Test equating

Indexed keywords

EID: 0030496059     PISSN: 01466216     EISSN: None     Source Type: Journal    
DOI: 10.1177/014662169602000104     Document Type: Article

References (21)

1. Baker, F. B. (1986). GENIRV: Computer program for generating item responses. Unpublished manuscript, University of Wisconsin, Madison.
2. Baker, F. B. (1992). Equating tests under the graded response model. Applied Psychological Measurement, 16, 87-96.
3. Baker, F. B., Al-Karni, A., & Al-Dosary, I. M. (1991). EQUATE: A computer program for the test characteristic curve method of IRT equating. Applied Psychological Measurement, 15, 78.
4. Baker, F. B., Cohen, A. S., & Barmish, B. R. (1988). Item characteristics of tests constructed via linear programming. Applied Psychological Measurement, 12, 189-199.
5. Cook, L. L., & Peterson, N. S. (1987). Problems related to the use of conventional and item response theory equating methods in less than optimal circumstances. Applied Psychological Measurement, 11, 225-244.
6. Davidon, W. C. ( 1959). Variable metric method for minimization (Research and Development Report ANL-5990, rev. ed.). Argonne IL: Argonne National Laboratory, U.S. Atomic Energy Commission.
7. Eastern Software Products, Inc. (1985). BLP88 user's guide: Linear programming with bounded variables for the IBM PC. Alexandria VA: Author.
8. Fletcher, R., & Powell, M. J. D. (1963). A rapidly convergent descent method for minimization. The Computer Journal, 6, 163-168.
9. Haebara, T. (1980). Equating logistic ability scales by a weighted least squares method. Japanese Psychological Research, 22, 144-149.
10. Hulin, C. L., Lissak, R. I., & Drasgow, F. (1982) Recovery of two-and three-parameter logistic item characteristic curves: A monte carlo study. Applied Psychological Measurement, 6, 249-260.
11. Kendall, M. G., & Stuart, A. (1963). The advanced theory of statistics (Vol. 1). New York: Hafner.
12. Lord, F. M., & Novick, M. R. (1968). Statistical theories of mental test scores. Reading MA: Addison-Wesley.
13. McKinley, R. L., & Reckase, M. D. (1981). A comparison of procedures for constructing large item pools (Research Rep. No. 81-3). Columbia: University of Missouri, Department of Educational Psychology.
14. Mislevy, R. J., & Bock, R. D. (1986). PC-BILOG: Item analysis and test scoring with binary logistic models. Mooresville IN: Scientific Software Inc.
15. Press, W. H., Flannery, B. P., Teukolsky, S. A., & Vetterling, W. T. (1986). Numerical recipes. Cambridge, England: Cambridge University Press.
16. Slinde, J. A., & Linn, R. L. (1977). Vertically equated tests: Fact or phantom? Journal of Educational Measurement, 14, 23-32.
17. Stocking, M. L., & Lord, F. M. (1983). Developing a common metric in item response theory. Applied Psychological Measurement, 7, 201-210.
18. Swaminathan, H., & Gifford, J. A. (1983). Estimation of parameters in the three-parameter latent trait model. In D. J. Weiss (Ed.), New horizons in testing: Latent trait test theory and computerized adaptive testing (pp. 13-30). New York: Academic Press.
19. Theunissen, T. J. J. M. (1985). Binary programming and test design. Psychometrika, 50, 411-420.
20. Yen, W. M. (1981). Using simulation results to choose a latent trait model. Applied Psychological Measurement, 5, 245-262.
21. Yen, W. M. (1987). A comparison of the efficiency and accuracy of BILOG and LOGIST. Psychometrika, 52, 275-291.