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Burton, Robert S. – New Directions for Testing and Measurement, 1980
Although Model A, the only norm-referenced evaluation procedure in the Title I Evaluation and Reporting System, requires no data other than the test scores themselves, it introduces two sources of bias and involved three test administrations. Roberts' two-test procedure offers the advantages of less bias and less testing. (RL)
Descriptors: Comparative Analysis, Mathematical Formulas, Scores, Statistical Bias
Jarjoura, David; Brennan, Robert L. – New Directions for Testing and Measurement, 1983
Multivariate generalizability techniques are used to bridge the gap between psychometric constraints and the tables of specifications needed in test development. Techniques are illustrated with results from the American College Testing Assessment Program. (Author/PN)
Descriptors: Data Analysis, Mathematical Models, Multivariate Analysis, Test Construction
Barron, Frank – New Directions for Testing and Measurement, 1982
The need to use images and imagery in language in schools, and to recognize and measure such aptitudes are discussed. Tests of imagination are presented, and the San Francisco Art Institute Study of predictors of ability in art illustrates methods and implications for measurement of creativity in educational programs. (CM)
Descriptors: Aptitude Tests, Art Expression, Creative Development, Imagination
Gillmore, Gerald M. – New Directions for Testing and Measurement, 1983
The unique conceptual framework and language of generalizability theory are presented. While this chapter is relevant to any area in which generalizability theory is applicable, it emphasizes evaluation research, and most examples come from that area. (Author/PN)
Descriptors: Achievement Tests, Analysis of Variance, Decision Making, Error of Measurement