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Peer reviewedVegelius, Jan – Educational and Psychological Measurement, 1980
One argument against the G index is that, unlike phi, it is not a correlation coefficient; yet, G conforms to the Kendall and E-coefficient definitions. The G index is also equal to the Pearson product moment correlation coefficient obtained from double scoring. (Author/CP)
Descriptors: Correlation, Mathematical Formulas, Test Reliability
Peer reviewedWillson, Victor L. – Educational and Psychological Measurement, 1980
Guilford's average interrater correlation coefficient is shown to be related to the Friedman Rank Sum statistic. Under the null hypothesis of zero correlation, the resultant distribution is known and the hypothesis can be tested. Large sample and tied score cases are also considered. An example from Guilford (1954) is presented. (Author)
Descriptors: Correlation, Hypothesis Testing, Mathematical Formulas, Reliability
Rosenthal, James A. – Springer, 2011
Written by a social worker for social work students, this is a nuts and bolts guide to statistics that presents complex calculations and concepts in clear, easy-to-understand language. It includes numerous examples, data sets, and issues that students will encounter in social work practice. The first section introduces basic concepts and terms to…
Descriptors: Statistics, Data Interpretation, Social Work, Social Science Research
Peer reviewedGivner, Nathaniel; Hynes, Kevin – College and University, 1979
The problem associated with validating an admissions test when such validation is based solely on the scores of the accepted, and therefore, restricted, group of applicants is demonstrated. A correction formula that estimates the correlation between admission test scores and a subsequent measure of performance for the entire group of applicants is…
Descriptors: Academic Achievement, Admission Criteria, College Admission, College Applicants

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