EPM editorial board members generated a list of those publications that they perceived as seminal to shaping the measurement field. Board members nominated up to five works and were asked to limit citations to publications since roughly 1950. Many of the citations dealt directly with reliability or validity, but topics more broadly related to measurement were also cited, including works dealing with validity generalization, item response theories, statistical significance testing, factor analysis, and the general linear model.
Get full access to this article
View all access options for this article.
References
1.
American Educational Research Association, American Psychological Association, National Council on Measurement in Education. (1985). Standards for educational and psychological testing. Washington, DC: Author.
2.
Bentler, P. M. , & Bonnett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88, 588-606.
3.
Bentler, P. M. , & Chou, C. P. (1988). Practical issues in structural modeling. Sociological Methods & Research, 16, 78-117.
4.
Baker, F. B. (1977). Advances in item analysis. Review of Educational Research, 47(1), 151-178.
5.
Bock, R. D. , & Aitkin, M. (1981). Marginal maximum likelihood estimation of item parameters: An application of an EM algorithm. Psychometrika, 46, 443-459.
6.
Bray, J. H. , & Maxwell, S. E. (1982). Analyzing and interpreting significant MANOVA'S. Review of Educational Research, 52, 340-367.
7.
Campbell, D. T. , & Fiske, D. W. (1959). Convergent and discriminant validation by the multi-trait multi-method matrix. Psychological Bulletin, 56, 81-105.
8.
Carroll, J. B. (1961). The nature of the data, or how to choose a correlation coefficient. Psychometnika, 26, 347-372.
9.
Carver, R. (1978). The case against statistical significance testing. Harvard Educational Review, 48, 378-399.
10.
Chamberlain, T. C. (1965). The method of multiple working hypothesis. Science, 148, 754-759.
11.
Cohen, J. (1968). Multiple regression as a general data-analytic system. Psychological Bulletin, 70, 426-443.
12.
Cohen, J. (1969). Statistical power analysis for the behavior sciences. San Diego, CA: Academic Press.
13.
Cohen, J. (1990). Things I have learned (so far). American Psychologist, 45, 1304-1312.
14.
Cohen, J. (1994). The earth is round (p < .05). American Psychologist, 49, 997-1003.
15.
Cramer, E. M. , & Nicewander, W. A. (1979). Some symmetric, invariant measures of multivariate association. Psychometrika, 44, 43-54.
16.
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16, 297-334.
17.
Cronbach, L. J. (1989). Construct validation after thirty years. In R. L. Linn (Ed.), Intelligence: Measurement theory and public policy (pp. 147-171). Urbana: University of Illinois Press.
18.
Cronbach, L. J. , Gleser, G. C., Nanda, H., & Rajaratnam, N. (1972). The dependability of behavioral measurements. New York: John Wiley.
19.
Cronbach, L. J. , Gleser, G. C., & Rajaratnam, N. S. (1963). Theory of generalizability: A liberalization of reliability theory. British Journal of Mathematical and Statistical Psychology, 16, 137-173.
20.
Cronbach, L. J. , & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52, 281-302.
21.
Darlington, R. B. (1968). Multiple regression in psychological research and practice. Psychological Bulletin, 69, 161-182.
22.
Darlington, R. B. (1970). Some techniques for maximizing a test's validity when the criterion variable is unobserved. Journal of Educational Measurement, 7, 1-14.
23.
Ebel, R. L. (1956). Obtaining and reporting evidence on content validity. Educational and Psychological Measurement, 16, 269-281.
24.
Feldt, L. S. (1987). Statistical inference for coefficient alpha. Applied Psychological Measurement, 11, 93-103.
25.
Getzels, J. W. (1982). The problem of the problem. In R. M. Hogarth (Ed.), Question framing and response consistency (pp. 37-49). San Francisco: Jossey-Bass.
26.
Glaser, R. (1963). Instructional technology and the measurement of learning outcomes: Some questions. American Psychologist, 18, 519-521.
27.
Glass, G. (1977). Integrating findings: The meta-analysis of research. Review of Research in Education, 5, 351-379.
28.
Glass, G. V , McGaw, B., & Smith, M. L. (1981). Meta-analysis in social research. Beverly Hills, CA: Sage.
29.
Gorsuch, R. L. (1983). Factor analysis (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum.
30.
Huberty, C. J , & Morris, J. D. (1989). Multivariate versus multiple univariate analyses. Psychological Bulletin, 105, 302-308.
31.
Jöreskog, K. G. (1974). Analyzing psychological data by structural analysis of covariance matrices. In H. Krantz, R. C. Atkinson, R. D. Luce, & P. Suppes (Eds.), Contemporary developments in mathematical psychology (Vol. 2). San Francisco: Freeman.
32.
Kane, M. T. (1982). A sampling model for validity. Applied Psychological Measurement, 6, 125-160.
33.
Knapp, T. R. (1978). Canonical correlation analysis: A general parametric significance testing system. Psychological Bulletin, 85, 410-416.
34.
Leary, M. R. , & Altmaier, E. M. (1980). Type I error in counseling research: A plea for multivariate analyses. Journal of Counseling Psychology, 27, 611-615.
35.
Lomax, R. G. , & Algina, J. (1979). Comparison of two procedures for analyzing multitrait multimethod matrices. Journal of Educational Measurement, 16, 177-186.
36.
Lord, F. M. (1953). The relation of test score to the trait underlying the test. Educational and Psychological Measurement, 13, 517-548.
37.
Lord, F M. (1968). An analysis of the Verbal Scholastic Aptitude Test using Birnbaum's three-parameter logistic model. Educational and Psychological Measurement,28, 989-1020.
38.
Lord, F. M. (1970). Some test theory for tailored testing. In W. H. Holtzman (Ed.), Computerized-assisted instruction, testing, and guidance (pp. 139-183). New York: Harper & Row.
39.
Mills, C. W. (1959). On intellectual craftsmanship. In C. W. Mills, The sociological imagination. New York: Oxford University Press.
40.
Moss, P. A. (1992). Shifting conceptions of validity in educational measurement: Implications for performance assessment. Review of Educational Research, 62, 229-258.
41.
Moss, F A. (1995). Themes and variations in validity theory. Educational Measurement: Issues and Practice, 14(2), 5-12.
42.
Mulaik, S. A. (1972). The foundations of factor analysis. New York: McGraw-Hill.
43.
Nunnally, J. (1978). Psychometric theory (2nd ed.). New York: McGraw-Hill.
44.
Petrinovich, L. F. , & Hardyck, C. D. (1969). Error rates for multiple comparison methods: Some evidence concerning the frequency of erroneous conclusions. Psychological Bulletin, 71, 43-54.
45.
Platt, J. R. (1964). Strong inference. Science, 146, 347-352.
46.
Popham, W. J. , & Husek, T. (1969). Implications of criterion-referenced measurement. Journal of Educational Measurement, 6, 1-9.
47.
Rasch, G. (1966a). An individualistic approach to item analysis. In P. F. Lazarsfeld & N. Henry (Eds.), Readings in mathematics social science (pp. 89-107). Chicago: Science Research Associates.
48.
Rasch, G. (1966b). An item analysis which takes individual differences into account. British Journal of Mathematical and Statistical Psychology, 19, 49-57.
49.
Robert, L. E. (1961). Must all tests be valid?American Psychologist, 16, 640-647.
50.
Rosnow, R. L. , & Rosenthal, R. (1989). Statistical procedures and the justification of knowledge in psychological science. American Psychologist, 44, 1276-1284.
51.
Schmidt, F. L. , & Hunter, J. E. (1977). Development of a general solution to the problem of validity generalization. Journal of Applied Psychology, 62, 329-340.
52.
Shavelson, R. J. , Webb, N. M., & Rowley, G. L. (1989). Generalizability theory. American Psychologist, 44, 922-932.
53.
Shepard, L. A. (1993). Evaluating test validity. In L. Darling-Hammond (Ed.), Review of research in education (Vol. 19, pp. 405-450). Washington, DC: American Educational Research Association.
54.
Stevens, S. S. (1958). Problems and methods of psychophysics. Psychological Bulletin, 55, 177-196.
55.
Thompson, B. , & Borrello, G. M. (1985). The importance of structure coefficients in regression research. Educational and Psychological Measurement, 45, 203-209.
56.
Wilkinson, L. (1979). Tests of significance in stepwise regression. Psychological Bulletin, 86, 168-174.
57.
Wright, B. D. (1977). Solving measurement problems with the Rasch model. Journal of Educational Measurement, 14, 97-116.
58.
van der Linden, W. J. , & Boekkooi-Timminga, E. (1989). A maximin model for test design with practical constraints. Psychonmetrika, 54, 237-247.
59.
Zwick, W. R. , & Velicer, W. F. (1986). Factors influencing five rules for determining the number of components to retain. Psychological Bulletin, 99, 432-442.
60.
Cicchetti, D. V. (1991). The reliability of peer review for manuscript and grant submissions: A cross-disciplinary investigation. Behavioral and Brain Sciences, 14, 119-186.
61.
Cohen, J. (1992). Fuzzy methodology. Psychological Bulletin, 112, 409-410.
62.
Douglas, R. J. (1992). How to write a highly cited article without even trying. Psychological Bulletin, 112, 405-408.
63.
Peters, D. C. , & Ceci, S. J. (1982). Peer review practices of psychological journals: The fate of published articles, submitted again. Behavioral and Brain Sciences, 5, 187-255.
64.
Sternberg, R. J. (1992). Psychological Bulletin's Top 10 "hit parade."Psychological Bulletin, 112, 387-388.
65.
Thompson, B. (1995). Publishing your research results: Some suggestions and counsel. Journal of Counseling and Development, 73, 342-345.
