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An Introduction to Polytomous Item Response Theory Models.
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De Ayala, R. J. – Measurement and Evaluation in Counseling and Development, 1993
Notes that polytomous item response theory (IRT) models are appropriate for Likert scale and other polytomous item types. Presents polytomous IRT models, including graded response, nominal response, partial credit, and rating scale models. (Author/NB)
Descriptors: Item Response Theory, Models, Research Problems, Theories
Reporting Nonhierarchical Regression Results.
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Schafer, William D. – Measurement and Evaluation in Counseling and Development, 1992
Discusses problems researchers face when they want to describe relationship between several predictors and criterion variable. Considers ways of addressing problem of contribution of each predictor depending on which other predictors are in regression equation. Focuses on parallel information for each variable, examining initial and final…
Descriptors: Data Analysis, Data Interpretation, Regression (Statistics), Research Problems
Reporting Hierarchical Regression Results.
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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)
Data Quality and Norms in International Studies.
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Wolf, Richard M. – Measurement and Evaluation in Counseling and Development, 1993
Addresses two vital issues in international studies of educational achievement: the quality of data obtained from participating countries and the interpretation of those data. Contends that examples of problems in item development for international studies are related to the quality of the data and norms used in interpretation. (Author/NB)
Descriptors: Academic Achievement, Cross Cultural Studies, Data, Norms
Methods for Modeling Ordinal Outcome Variables.
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O'Connell, Ann Aileen – Measurement and Evaluation in Counseling and Development, 2000
Compares approaches to modeling ordinal outcome variables, including assumptions, interpretations, and limitations. Explores how the multiple regression approach with ordinal level data can compromise the understanding of the effects of the independent variables and of the ordinal level response. Provides applications with data from a multisite…
Descriptors: Models, Multiple Regression Analysis, Predictor Variables, Research Methodology
A Guide to the Proper Use of Factor Analysis in the Conduct and Reporting of Research: Pitfalls to Avoid.
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Merenda, Peter F. – Measurement and Evaluation in Counseling and Development, 1997
Offers suggestions for proper procedures for authors to use--and some pitfalls to avoid--when writing studies using factor analysis methods. Discusses distinctions among different methods of analysis, the adequacy of factor structure, and other notes of caution. Encourages authors to ensure that their research is statistically sound. (RJM)
Descriptors: Data Interpretation, Factor Analysis, Factor Structure, Reliability
A Review of Procedural and Statistical Methods for Handling Attrition and Missing Data in Clinical 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