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Serlin, Ronald C. – Psychological Methods, 2010
The sense that replicability is an important aspect of empirical science led Killeen (2005a) to define "p[subscript rep]," the probability that a replication will result in an outcome in the same direction as that found in a current experiment. Since then, several authors have praised and criticized 'p[subscript rep]," culminating…
Descriptors: Epistemology, Effect Size, Replication (Evaluation), Measurement Techniques
Cumming, Geoff – Psychological Methods, 2010
This comment offers three descriptions of "p[subscript rep]" that start with a frequentist account of confidence intervals, draw on R. A. Fisher's fiducial argument, and do not make Bayesian assumptions. Links are described among "p[subscript rep]," "p" values, and the probability a confidence interval will capture…
Descriptors: Replication (Evaluation), Measurement Techniques, Research Methodology, Validity
Peer reviewedSchafer, William D. – Measurement and Evaluation in Counseling and Development, 1993
Considers objections to comparisonwise position, which holds that, when conducting simultaneous significance procedures, per-test Type I error rate should be controlled and that it is unnecessary to introduce adjustments designed to control familywise rate. Objections collected by Saville in an attempt to refute them are discussed along with…
Descriptors: Statistical Inference, Statistical Significance, Statistics
Lee, Michael D.; Wagenmakers, Eric-Jan – Psychological Review, 2005
D. Trafimow presented an analysis of null hypothesis significance testing (NHST) using Bayes's theorem. Among other points, he concluded that NHST is logically invalid, but that logically valid Bayesian analyses are often not possible. The latter conclusion reflects a fundamental misunderstanding of the nature of Bayesian inference. This view…
Descriptors: Psychology, Statistical Inference, Statistical Significance, Bayesian Statistics
Rosenthal, James A. – Springer, 2011
Written by a social worker for social work students, this is a nuts and bolts guide to statistics that presents complex calculations and concepts in clear, easy-to-understand language. It includes numerous examples, data sets, and issues that students will encounter in social work practice. The first section introduces basic concepts and terms to…
Descriptors: Statistics, Data Interpretation, Social Work, Social Science Research
Kim, Seock-Ho; Cohen, Allan S. – 1995
The Behrens-Fisher problem arises when one seeks to make inferences about the means of two normal populations without assuming the variances are equal. This paper presents a review of fundamental concepts and applications used to address the Behrens-Fisher problem under fiducial, Bayesian, and frequentist approaches. Methods of approximations to…
Descriptors: Bayesian Statistics, Hypothesis Testing, Probability, Statistical Inference
Peer reviewedPaul, Kelli M.; Plucker, Jonathan A. – Roeper Review, 2003
The APA Task Force on Statistical Inference recently recommended reporting effect sizes alongside results of statistical significance tests. The purpose of this article is to investigate effect size usage in gifted education research and to follow up on a similar investigation published by Plucker (1997). A content analysis of effect size…
Descriptors: Statistical Inference, Statistical Significance, Gifted, Content Analysis
Peer reviewedKellow, J. Thomas – American Journal of Evaluation, 1998
Many evaluation students are still being taught the use of tests of statistical significance without being warned about their limitations. This paper discusses other estimates of treatment effects necessary to interpret between-group differences correctly. Sources to improve evaluation practice are also suggested. (SLD)
Descriptors: Estimation (Mathematics), Evaluation Utilization, Groups, Probability
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
Yu, Chong-Ho – Online Submission, 2005
Many research-related classes in social sciences present probability as a unified approach based upon mathematical axioms, but neglect the diversity of various probability theories and their associated philosophical assumptions. Although currently the dominant statistical and probabilistic approach is the Fisherian tradition, the use of Fisherian…
Descriptors: Probability, Inferences, Social Sciences, Statistical Significance
Smith, A. Delany; Henson, Robin K. – 2000
This paper addresses the state of the art regarding the use of statistical significance tests (SSTs). How social science research will be conducted in the future is impacted directly by current debates regarding hypothesis testing. This paper: (1) briefly explicates the current debate on hypothesis testing; (2) reviews the newly published report…
Descriptors: Hypothesis Testing, Research Methodology, Research Reports, Social Science Research
Peer reviewedBiskin, Bruce H. – Measurement and Evaluation in Counseling and Development, 1998
Significance tests are often used inappropriately in counseling research. In addition to comments on the significance test controversy (Vacha-Haase and Nilsson, this issue), a wider historical context and personal experiences are provided. The controversy is discussed, and seven recommendations for using significance tests are included. (EMK)
Descriptors: Data Interpretation, Hypothesis Testing, Psychological Studies, Psychometrics
Peer reviewedThompson, Bruce – Educational and Psychological Measurement, 2001
Introduces the three subsequent articles from this special section, which extend the discussion of future prospects for progress in the reporting and interpreting of effect sizes by researchers. The authors of these pieces represent diverse views. (SLD)
Descriptors: Effect Size, Hypothesis Testing, Psychology, Research Reports
Peer reviewedHsu, Louis M. – Journal of Counseling Psychology, 1989
Discusses three topics related to interpretation of discriminant analyses (DA's): (1) partial F ratios and partial Wilks's lambdas for predictor variables in standard, step-down, and stepwise DA's; (2) relation of goals of classification to definition/evaluation of classification rules; and (3) significance tests for total hit rates in internal…
Descriptors: Data Interpretation, Discriminant Analysis, Multivariate Analysis, Predictor Variables

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