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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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Seol, Hyunsoo – Measurement and Evaluation in Counseling and Development, 2007
The author used Rasch measurement to examine the reliability and validity of 382 Korean university students' scores on the Marlowe-Crowne Social Desirability Scale (MCSDS; D. P. Crowne and D. Marlowe, 1960). Results revealed that item-fit statistics and principal component analysis with standardized residuals provide evidence of MCSDS'…
Descriptors: Social Desirability, Validity, Measures (Individuals), Factor Analysis
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Schafer, William D. – Measurement and Evaluation in Counseling and Development, 1991
Presents first of two-part editorial (second part to appear in next journal issue) proposing guidelines for developing useful tables to report multiple regression outcomes. Pays particular attention to situations where a hierarchical multiple regression analysis is guided by theory. Concludes that some conventional way to report multiple…
Descriptors: Multiple Regression Analysis, Regression (Statistics), Research Problems, Tables (Data)
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Cummings, Oliver W. – Measurement and Evaluation in Counseling and Development, 1992
Notes that, very early in program planning, budgets are estimated for major program components, including evaluation. Proposes heuristic for establishing reasonable evaluation estimates in initial planning. Describes logical sources of information from which to construct such a heuristic. Recommends that, for typical programs and projects, initial…
Descriptors: Cost Effectiveness, Evaluation Methods, Evaluation Problems, Program Evaluation
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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