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50 Years of ERIC
50 Years of ERIC
The Education Resources Information Center (ERIC) is celebrating its 50th Birthday! First opened on May 15th, 1964 ERIC continues the long tradition of ongoing innovation and enhancement.

Learn more about the history of ERIC here. PDF icon

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Vacha-Haase, Tammi; Thompson, Bruce – Measurement and Evaluation in Counseling and Development, 2011
The present study was conducted to characterize (a) the features of the thousands of primary reports synthesized in 47 reliability generalization (RG) measurement meta-analysis studies and (b) typical methodological practice within the RG literature to date. With respect to the treatment of score reliability in the literature, in an astounding…
Descriptors: Reliability, Generalization, Scores, Meta Analysis
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Henson, Robin K.; Thompson, Bruce – Measurement and Evaluation in Counseling and Development, 2002
T. Vacha-Haase (1998) proposed her "reliability generalization" methodology to characterize (a) typical score reliability for a measure across studies, (b) the variability of score reliabilities, and (c) what measurement protocol features predict the variability in score reliabilities across administration. The present article provides…
Descriptors: Error of Measurement, Generalization, Psychometrics, Research Methodology
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Arnau, Randolph C.; Thompson, Bruce; Rosen, David H. – Measurement and Evaluation in Counseling and Development, 1999
Evaluates the psychometric properties of two alternative Jungian personality measures, the Singer-Loomis Type Deployment Inventory and the Personal Preferences Self-Description Questionnaire. Evidence suggests that both the measures of Jungian constructs yielded reasonably reliable and valid scores. Asserts that both measures have potential…
Descriptors: Counseling Techniques, Data Analysis, Higher Education, Measurement Techniques
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Vacha-Haase, Tammi; Thompson, Bruce – Measurement and Evaluation in Counseling and Development, 1998
Responds to Biskin's comments (this issue) on the significance test controversy. Highlights areas of agreement (importance of replication evidence, importance of effect sizes) and disagreement (influence of sample size, evaluation of populations vs. samples, significance of Carver's article). Includes further recommendations for reporting research…
Descriptors: Data Interpretation, Hypothesis Testing, Psychological Studies, Sampling
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Thompson, Bruce; Borrello, Gloria M. – Measurement and Evaluation in Counseling and Development, 1986
Factor adequacy and other results based on data from college students (N=359) provided positive evidence regarding the construct validity of the Myers-Briggs Type Indicator (MBTI). Second order factor analysis supported the appropriateness of the MBTI item weighting procedures. (Author/ABB)
Descriptors: College Students, Factor Structure, Higher Education, Test Validity
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Thompson, Bruce; Melancon, Janet G. – Measurement and Evaluation in Counseling and Development, 1986
Investigated the factor structure of the Bem Sex Role Inventory when used with adolescents. Empirical comparison of actual with expected results supported the measure's validity. (Author)
Descriptors: Adolescents, Factor Structure, Personality Measures, Sex Differences
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Thompson, Bruce; And Others – Measurement and Evaluation in Counseling and Development, 1987
Investigated measurement characteristics of the Multidimensional Health Locus of Control (MHLC) Scales when the scales are used with elementary school children. The MHLC scales were administered to 876 fourth, fifth, and sixth graders. Results from four analyses of data strongly support the reliability and factorial validity of the revised MHLC…
Descriptors: Childhood Attitudes, Health, Intermediate Grades, Locus of Control
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Thompson, Bruce – Measurement and Evaluation in Counseling and Development, 1991
Explains basic logic of canonical analysis, illustrates that canonical analysis is general parametric analytic method subsuming other methods, and offers guidelines regarding use of this analytic approach. Concludes that canonical analysis is potent because it does not require researcher to discard variance of any variables and because it honors…
Descriptors: Data Analysis, Multivariate Analysis, Research Methodology, Statistical Analysis