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Williams, Richard H.; Zimmerman, Donald W. – Journal of Experimental Education, 1980
It is suggested that error of measurement cannot be routinely incorporated into the "error term" in statistical tests, and that the reliability of test scores does not have the simple relationship to statistical inference that one might expect. (Author/GK)
Descriptors: Error of Measurement, Hypothesis Testing, Mathematical Formulas, Test Reliability
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Bagozzi, Richard P.; Phillips, Lynn W. – Administrative Science Quarterly, 1982
Tests the "holistic construal" method of validating constructs and testing organizational hypotheses, using examples from organizational theory and data on wholesale distribution companies. Holistic construal is meant to explicitly represent theoretical and empirical concepts, nonobservational hypotheses, and correspondence rules and…
Descriptors: Charts, Error of Measurement, Holistic Approach, Hypothesis Testing
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Assor, Avi; And Others – Child Development, 1990
Addresses three issues concerning the assessment of the overrating and underrating of academic competence: (1) the impossibility of separating effects of overrating and underrating from effects of perceived and actual competence; (2) the questionable validity of Connell and Ilardi's method; and (3) the proposal of a new method and its implications…
Descriptors: Academic Ability, Achievement Rating, Analysis of Variance, Children
Thompson, Bruce – 1987
This paper evaluates the logic underlying various criticisms of statistical significance testing and makes specific recommendations for scientific and editorial practice that might better increase the knowledge base. Reliance on the traditional hypothesis testing model has led to a major bias against nonsignificant results and to misinterpretation…
Descriptors: Analysis of Variance, Data Interpretation, Editors, Effect Size