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Ryan M. Cook; Stefanie A. Wind – Measurement and Evaluation in Counseling and Development, 2024
The purpose of this article is to discuss reliability and precision through the lens of a modern measurement approach, item response theory (IRT). Reliability evidence in the field of counseling is primarily generated using Classical Test Theory (CTT) approaches, although recent studies in the field of counseling have shown the benefits of using…
Descriptors: Item Response Theory, Measurement, Reliability, Accuracy
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Peterson, Christina Hamme; Peterson, N. Andrew; Powell, Kristen Gilmore – Measurement and Evaluation in Counseling and Development, 2017
Cognitive interviewing (CI) is a method to identify sources of confusion in assessment items and to assess validity evidence on the basis of content and response processes. We introduce readers to CI and describe a process for conducting such interviews and analyzing the results. Recommendations for best practice are provided.
Descriptors: Test Items, Test Construction, Interviews, Test Validity
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Leech, Nancy L.; Onwuegbuzie, Anthony J. – Measurement and Evaluation in Counseling and Development, 2011
The results of a content analysis of the articles published in the leading counseling journal, "Journal of Counseling & Development", between 2002 and 2010 are presented. The authors present a brief description of mixed research to encourage counseling researchers to explore mixed research as a viable research tool. (Contains 3 tables and 1…
Descriptors: Research Tools, Periodicals, Content Analysis, Qualitative Research
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Mason, Michael J. – Measurement and Evaluation in Counseling and Development, 1999
Presents procedures for reducing attrition in clinical research and provides a case study for examination by researchers. Includes lists of preventative strategies and statistical methodologies to reduce attrition and bias. Argues that early planning for attrition by adjusting sample sizes is a scientifically sound approach to clinical research…
Descriptors: Attrition (Research Studies), Research Methodology, Research Problems, Statistical Analysis