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Hsu, Louis M. – Educational Researcher, 1980
Criticizes an article in which S. A. Cohen and J. S. Hyman describe as "suspicious" the high proportion of statistically significant findings reported in published educational research journals and offers alternative explanations for the high statistical power reported. (GC)
Descriptors: Educational Research, Periodicals, Research Methodology, Sampling
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Tsutakawa, Robert K. – Journal of Educational Statistics, 1978
A Bayesian solution is presented for the Johnson-Neyman problem (whether or not the distance between two regression lines is statistically significant over a finite interval of the independent variable). (Author/CTM)
Descriptors: Bayesian Statistics, Regression (Statistics), Statistical Significance, Technical Reports
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Stamm, Carol Lee – Journal of Educational Statistics, 1978
A study was conducted using generated data sets that contained specified amounts of error to determine empirically which of two large sample approximations for the coefficient of concordance or weighted average tau was more appropriate for various numbers of judges and numbers of objects. (CTM)
Descriptors: Correlation, Nonparametric Statistics, Sampling, Statistical Significance
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Snijders, Tom A. B. – Journal of Educational and Behavioral Statistics, 1996
Two commentaries describe some shortcomings of a recent discussion of the significance testing of R-squared by C. J. Huberty and upward bias in the statistic. Both propose some modifications. A response by Huberty acknowledges the importance of the exchange of ideas in the field of data analysis. (SLD)
Descriptors: Bias, Correlation, Effect Size, Regression (Statistics)
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West, Leonard J. – Delta Pi Epsilon Journal, 1990
Identifies the common supposition in research by business educators that a research outcome that is statistically significant is necessarily practically significant. Describes the use and interpretation of a simple objective measure of practical significance, called Effect Size. (Author)
Descriptors: Business Education, Effect Size, Research Utilization, Statistical Significance
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Haase, Richard F.; And Others – Journal of Counseling Psychology, 1989
Contends that tests of statistical significance and measures of magnitude in counseling psychology research do not provide same information. Argues interpreting magnitude of experimental effects must be two-stage decision process with the second stage of process being conditioned on results of a test of statistical significance and entailing…
Descriptors: Research Methodology, Research Needs, Statistical Significance, Test Interpretation
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Reichardt, Charles S.; Gollob, Harry F. – Evaluation Review, 1989
The estimate-and-subtract method for eliminating threats to validity is described. It is argued that the method is superior to the use of no-difference findings for this purpose. Two ways of improving the no-difference findings are presented. (TJH)
Descriptors: Error of Measurement, Estimation (Mathematics), Statistical Significance, Validity
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Shaw, W. M., Jr. – Information Processing and Management, 1990
Investigates the presence of clustering structure in a document collection and the influence of the presence of clustering structure on the success of cluster-based retrieval. Term-weight and similarity thresholds are discussed, empirical and statistical significance are considered, and indexing exhaustivity for document representation is…
Descriptors: Cluster Grouping, Documentation, Indexing, Information Retrieval
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Hubbard, Raymond; Ryan, Patricia A. – Educational and Psychological Measurement, 2000
Examined the historical growth in the popularity of statistical significance testing using a random sample of data from 12 American Psychological Association journals. Results replicate and extend findings from a study that used only one such journal. Discusses the role of statistical significance testing and the use of replication and…
Descriptors: Meta Analysis, Psychological Testing, Scholarly Journals, Statistical Significance
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Kover, Arthur J. – Educational and Psychological Measurement, 2000
The Hubbard and Ryan article is a little ingenuous in its implications for action. Both meta-analyses and replication have problems of their own; each requires careful attention. Good measurement emphasizes proper sampling techniques and using whatever means possible to analyze data. (SLD)
Descriptors: Meta Analysis, Psychological Testing, Scholarly Journals, Statistical Significance
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Winer, Russell S. – Educational and Psychological Measurement, 2000
Agrees with R. Hubbard and P. Ryan that statistical significance testing has had a negative impact in that some users have closed their minds to alternative approaches to conducting research. In marketing, the alternatives are not completely satisfactory, however, and researchers are likely to continue to rely on statistical significance testing.…
Descriptors: Meta Analysis, Psychological Testing, Scholarly Journals, Statistical Significance
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Walker, David A. – Mid-Western Educational Researcher, 2006
The purpose of this article was to extend the research pertaining to the idea of a statistically significant exact replication (SSER) method published recently in the Mid-Western Educational Researcher. The current study continues the idea of SSER and provides researchers with a software program that will calculate easily the SSER value when there…
Descriptors: Statistical Analysis, Statistical Significance, Computer Software, Replication (Evaluation)
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Johnson, Shirley; Busch, Steve; Slate, John R. – International Journal of Educational Leadership Preparation, 2008
In this study, the reasons why men and women behave differently in leadership roles in schools were investigated because of recent research on the indirect nature of the school principal's impact on learning and on gender differences in leadership behaviors. Practicing principals (109 males, 172 females) from two Southwestern states were surveyed…
Descriptors: Educational Administration, Administrator Behavior, Gender Differences, Leadership Styles
Klecker, Beverly M. – Online Submission, 2008
This study was designed to examine the impact NCLB defined teacher-quality variables (1) major/minor in mathematics, (2) highest academic degree, (3) type of teaching certificate, (4) years taught mathematics (NCLB, 2001) on the mathematics average scale scores of eighth-grade students. The study used a secondary analysis of the 2007 National…
Descriptors: Teacher Effectiveness, Mathematics Achievement, Mathematics Tests, National Competency Tests
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Berkner, Lutz; Choy, Susan – National Center for Education Statistics, 2008
This report provides a description of the student characteristics, persistence, and degree attainment of a nationally representative sample of students who began postsecondary education for the first time during the 2003-04 academic year. The report describes the background, academic preparation, and experience of these beginning students over 3…
Descriptors: Higher Education, Legislators, Statistical Significance, Tables (Data)
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