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E. Nick (1973)
The dependability of behavioral measurements: theory of generalizability for scores and profiles, 25
R. Malgady, J. Amato, S. Huck (1979)
The fixed — effect fallacy in educational psychological research: A problem of generalizing to multiple populationsEducational Psychologist, 14
J. Cornfield, J. Tukey (1956)
AVERAGE VALUES OF MEAN SQUARES IN FACTORIALSAnnals of Mathematical Statistics, 27
B. Green, J. Tukey (1960)
Complex analyses of variance: General problemsPsychometrika, 25
E. Coleman (1964)
Generalizing to a Language PopulationPsychological Reports, 14
K. Hopkins, George Kretke (1976)
Research Design and Analysis ClinicThe Journal of Special Education, 10
Philip Smith (1978)
Sampling Errors of Variance Components in Small Sample Multifacet Generalizability StudiesJournal of Educational Statistics, 3
K. Hopkins (1983)
A Strategy for Analyzing ANOVA Designs Having One or More Random FactorsEducational and Psychological Measurement, 43
K. Hopkins, B.R. ns (1979)
The Effect of the Reliability of the Dependent Variable On PowerJournal of Special Education, 13
H. Clark (1973)
The language-as-fixed-effect fallacy: A critique of language statistics in psychological research.Journal of Verbal Learning and Verbal Behavior, 12
K. Hopkins (1982)
The Unit of Analysis: Group Means Versus Individual Observations, 19
D. Rubin, L. Cronbach, G. Gleser, H. Nanda, Nageswari Rajaratnam (1974)
The Dependability of Behavioral Measurements: Theory of Generalizability for Scores and Profiles.Journal of the American Statistical Association, 69
J. Loevinger (1965)
PERSON AND POPULATION AS PSYCHOMETRIC CONCEPTS.Psychological review, 72
M. Kane, R. Brennan (1977)
The Generalizability of Class MeansReview of Educational Research, 47
P. Green, B. Winer, Donald Brown, K. Michels (1963)
Statistical Principles in Experimental Design
G. Glass, K. Hopkins (1970)
Statistical methods in education and psychology
J. Cardinet, Y. Tourneur, L. Allal (1981)
EXTENSION OF GENERALIZABILITY THEORY AND ITS APPLICATIONS IN EDUCATIONAL MEASUREMENTJournal of Educational Measurement, 18
R. Kirk (1969)
Experimental Design: Procedures for the Behavioral Sciences
W. Hays (1983)
Experimental Design: Procedures for the Behavioral Sciences. 2nd ed.Psyccritiques, 28
The inferences drawn from many statistical analyses are not congruent with the analyses performed. The analysis commonly employed when cognitive or affective measures serve as the dependent variable yields an inference that is rigorously generalizable only to the specific set of scales or items that were employed, and not to the intended universe of items of which the set used is viewed as a representative sample. The arguments in this paper show that if the items are incorporated into the design as levels of a random facet via generalizability theory, the inferential question in the desired universe of inference can be examined statistically. An estimate of the reliability (generalizability) of the outcome variable also accrues from the proposed analysis; consequently the statistical and measurement fidelity questions are unified in a single analysis. Advantages of nesting items within subjects are proposed.
American Educational Research Journal – SAGE
Published: Jun 24, 2016
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