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Johanson, George A.; Brooks, Gordon P. – Educational and Psychological Measurement, 2010
Pilot studies are often recommended by scholars and consultants to address a variety of issues, including preliminary scale or instrument development. Specific concerns such as item difficulty, item discrimination, internal consistency, response rates, and parameter estimation in general are all relevant. Unfortunately, there is little discussion…
Descriptors: Pilot Projects, Measures (Individuals), Material Development, Sample Size
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Willse, John T.; Goodman, Joshua T. – Educational and Psychological Measurement, 2008
This research provides a direct comparison of effect size estimates based on structural equation modeling (SEM), item response theory (IRT), and raw scores. Differences between the SEM, IRT, and raw score approaches are examined under a variety of data conditions (IRT models underlying the data, test lengths, magnitude of group differences, and…
Descriptors: Test Length, Structural Equation Models, Effect Size, Raw Scores
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Beretvas, S. Natasha; Suizzo, Marie-Anne; Durham, Jennifer A.; Yarnell, Lisa M. – Educational and Psychological Measurement, 2008
The most commonly used measures of locus of control are Rotter's Internality-Externality Scale (I-E) and Nowicki and Strickland's Internality-Externality Scale (NSIE). A reliability generalization study is conducted to explore variability in I-E and NSIE score reliability. Studies are coded for aspects of the scales used (number of response…
Descriptors: Locus of Control, Age, Reliability, Measures (Individuals)
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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