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Skidmore, Susan Troncoso; Thompson, Bruce – Educational and Psychological Measurement, 2010
The purpose of the present study is to provide a historical account and metasynthesis of which statistical techniques are most frequently used in the fields of education and psychology. Six articles reviewing the "American Educational Research Journal" from 1969 to 1997 and five articles reviewing the psychological literature from 1948 to 2001…
Descriptors: Educational Research, Meta Analysis, Synthesis, Statistical Studies
Howell, Ryan T.; Shields, Alan L. – Educational and Psychological Measurement, 2008
Meta-analytic reliability generalizations (RGs) are limited by the scarcity of reliability reporting in primary articles, and currently, RG investigators lack a method to quantify the impact of such nonreporting. This article introduces a stepwise procedure to address this challenge. First, the authors introduce a formula that allows researchers…
Descriptors: Reliability, Meta Analysis, Generalization, Evaluation Methods
Van Horn, Pamela S.; Green, Kathy E.; Martinussen, Monica – Educational and Psychological Measurement, 2009
This article reports results of a meta-analysis of survey response rates in published research in counseling and clinical psychology over a 20-year span and describes reported survey administration procedures in those fields. Results of 308 survey administrations showed a weighted average response rate of 49.6%. Among possible moderators, response…
Descriptors: Clinical Psychology, Response Rates (Questionnaires), Counseling Psychology, Meta Analysis
Cheung, Shu Fai; Chan, Darius K.-S. – Educational and Psychological Measurement, 2008
In meta-analysis, it is common to have dependent effect sizes, such as several effect sizes from the same sample but measured at different times. Cheung and Chan proposed the adjusted-individual and adjusted-weighted procedures to estimate the degree of dependence and incorporate this estimate in the meta-analysis. The present study extends the…
Descriptors: Effect Size, Academic Achievement, Meta Analysis, Correlation

Koslowsky, Meni; Sagie, Abraham – Educational and Psychological Measurement, 1992
META-RAND, a Statistical Analysis System macro that generates random values used for calculating correlations in a meta analysis, is described. Output consists of uncorrected and corrected mean and variances of "r" and several measures of the degree of homogeneity or heterogeneity in the data. (SLD)
Descriptors: Computer Software, Correlation, Meta Analysis, Research Methodology

Steiner, Dirk D.; And Others – Educational and Psychological Measurement, 1991
The use of meta-analysis to resolve issues in the fields of organizational behavior and human resources management was reviewed by coding 35 studies on 21 methodological variables. Results illustrate the tremendous variability in how researchers apply meta-analysis. Suggestions are provided for correctly using meta-analysis. (SLD)
Descriptors: Administration, Human Resources, Literature Reviews, Meta Analysis

Arthur, Winfred, Jr.; And Others – Educational and Psychological Measurement, 1994
Effects of choice of data analysis program on outcomes of meta-analysis were studied by considering the extent to which four commonly used Schmidt and Hunter validity generalization-based meta-analytic software programs produce identical outcomes. Differences were minor and did not influence outcomes. (SLD)
Descriptors: Computer Software, Data Analysis, Educational Research, Generalization

Nye, Lendell G.; Witt, L. Alan – Educational and Psychological Measurement, 1995
Basic rules are suggested to replace the signed coefficient rule to infer the form of moderator effects in terms of slopes of regression lines. Steps are provided to interpret the form of moderator effects that can be achieved using only the regression coefficients of the predictor variable and interaction term. (SLD)
Descriptors: Effect Size, Evaluation Methods, Meta Analysis, Prediction

Carson, Kenneth P.; And Others – Educational and Psychological Measurement, 1990
The utility of the fail-safe "N" statistic was evaluated by computing it for studies in three organizational research domains in which discrepant conclusions were reached by initial and subsequent meta-analyses. Calculation of the fail-safe "N" may have led to more cautious interpretations. Implications for meta-analyses are…
Descriptors: Comparative Analysis, Effect Size, Evaluation Methods, Institutional Research