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Peer reviewedO'Grady, Kevin E.; Medoff, Deborah R. – Multivariate Behavioral Research, 1988
Limitations of dummy coding and nonsense coding as methods of coding categorical variables for use as predictors in multiple regression analysis are discussed. The combination of these approaches often yields estimates and tests of significance that are not intended by researchers for inclusion in their models. (SLD)
Descriptors: Multiple Regression Analysis, Predictive Measurement, Regression (Statistics), Research Problems
Peer reviewedShotland, R. Lance; Mark, Melvin M. – New Directions for Program Evaluation, 1987
Multiple evaluation methods (MEMs) can cause an inferential challenge, although there are strategies to strengthen inferences. Practical and theoretical issues involved in the use by social scientists of MEMs, three potential problems in drawing inferences from MEMs, and short- and long-term strategies for alleviating these problems are outlined.…
Descriptors: Evaluation Methods, Multitrait Multimethod Techniques, Research Methodology, Statistical Bias
Peer reviewedO'Brien, Robert M.; Jones, Barnie – Journal of Research and Development in Education, 1986
The utility and interpretation of a coefficient derived by use of the generalizability theory is discussed in this article. Then it is employed to assess the reliability of several school-level variables from the High School and Beyond study. (JD)
Descriptors: Analysis of Variance, Generalizability Theory, Research Methodology, Statistical Inference
Leech, Nancy L.; Onwuegbuzie, Anthony J. – 2002
This paper advocates the use of nonparametric statistics. First, the consequence of using parametric inferential techniques under nonnormality is described. Second, the advantages of using nonparametric techniques are presented. The third purpose is to demonstrate empirically how infrequently nonparametric statistics appear in studies, even those…
Descriptors: Classification, Computer Software, Educational Research, Effect Size
Li, Jun Corser; Woodruff, David J. – 2002
Coefficient alpha is a simple and very useful index of test reliability that is widely used in educational and psychological measurement. Classical statistical inference for coefficient alpha is well developed. This paper presents two methods for Bayesian statistical inference for a single sample alpha coefficient. An approximate analytic method…
Descriptors: Bayesian Statistics, Markov Processes, Monte Carlo Methods, Reliability
Peer reviewedHopkins, Kenneth D.; Weeks, Douglas L. – Educational and Psychological Measurement, 1990
This paper makes the point that descriptive and inferential measures of nonnormality and graphic displays of the frequency distribution of important variables should be routine in research reporting. This point is particularly true for research involving measures with nonarbitrary metrics where the distribution shape is unaffected by measurement…
Descriptors: Equations (Mathematics), Graphs, Mathematical Models, Research Reports
Peer reviewedMorris, Carl N. – Journal of Educational and Behavioral Statistics, 1995
Hierarchical models are extremely promising tools for data analysis, but it is important not to lessen hard thinking about data and iterative model checking when fitting hierarchical models. More and better software, methods to assure proper calibration, and materials in support of hierarchical model use are all needed. (SLD)
Descriptors: Computer Software Development, Educational Research, Research Methodology, Robustness (Statistics)
Peer reviewedWillkinson, Leland – American Psychologist, 1999
Proposes guidelines for revising the American Psychological Association (APA) publication manual or other APA materials to clarify the application of statistics in research reports. The guidelines are intended to induce authors and editors to recognize the thoughtless application of statistical methods. Contains 54 references. (SLD)
Descriptors: Guides, Psychology, Research Methodology, Research Reports
Peer reviewedVacha-Haase, Tammi; Thompson, Bruce – Measurement and Evaluation in Counseling and Development, 1998
Responds to Biskin's comments (this issue) on the significance test controversy. Highlights areas of agreement (importance of replication evidence, importance of effect sizes) and disagreement (influence of sample size, evaluation of populations vs. samples, significance of Carver's article). Includes further recommendations for reporting research…
Descriptors: Data Interpretation, Hypothesis Testing, Psychological Studies, Sampling
Peer reviewedFinch, Sue; Cumming, Geoff; Thomason, Neil – Educational and Psychological Measurement, 2001
Analyzed 150 articles from the "Journal of Applied Psychology" (JAP) from 1940 to 1999 to determine statistical reporting practices related to null hypothesis significance testing, American Psychological Association guidelines, and reform recommendations. Findings show little evidence that decades of cogent criticisms by reformers have…
Descriptors: Hypothesis Testing, Psychology, Research Reports, Scholarly Journals
Kane, Michael – Measurement: Interdisciplinary Research and Perspectives, 2004
The theories of validity developed over the past 60 years are quite sophisticated, but the methodology of validity is not generally very effective. The validity evidence for major testing programs is typically much weaker than the evidence for more technical characteristics such as reliability. In addition, most validation efforts have a strong…
Descriptors: Test Validity, Methods, Licensing Examinations (Professions), Measurement
Yuan, Ke-Hai; Bentler, Peter M. – Psychometrika, 2004
Since data in social and behavioral sciences are often hierarchically organized, special statistical procedures for covariance structure models have been developed to reflect such hierarchical structures. Most of these developments are based on a multivariate normality distribution assumption, which may not be realistic for practical data. It is…
Descriptors: Statistical Analysis, Statistical Inference, Statistical Distributions, Multivariate Analysis
Huett, Jason Bond; Young, Jon; Huett, Kimberly Cleaves; Moller, Leslie; Bray, Marty – Quarterly Review of Distance Education, 2008
The purpose of this research was to manipulate the component of confidence found in Keller's ARCS Model to enhance the confidence and performance of undergraduate students enrolled in an online course at a Texas University. This experiment used SAM Office 2003 and WebCT for the delivery of the tactics, strategies, confidence-enhancing e-mails…
Descriptors: Control Groups, Undergraduate Students, Online Courses, Instructional Effectiveness
Cosgrove, Cornelius – 1992
A study examined whether composition specialists can counterbalance the potential privileging of the assessment perspective, or of self-appointed interpreters of that perspective, through the study of assessment discourse as text. Fourteen assessment texts were examined, most of them journal articles and most of them featuring the common…
Descriptors: Discourse Analysis, Higher Education, Statistical Inference, Student Evaluation
Peer reviewedBass, Roger F. – Psychology in the Schools, 1987
Evaluates arguments concerning the generality and statistical analysis of single-subject data. Considers the role of philosophy of science in evaluating research methodology. Single-subject data have special relevance for psychologists and educators who focus on the individual but statistical techniques for analyzing data have numerous…
Descriptors: Data Interpretation, Generalizability Theory, Generalization, Philosophy

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