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Direct linkByrd, Jimmy K. – Educational Administration Quarterly, 2007
Purpose: The purpose of this study was to review research published by Educational Administration Quarterly (EAQ) during the past 10 years to determine if confidence intervals and effect sizes were being reported as recommended by the American Psychological Association (APA) Publication Manual. Research Design: The author examined 49 volumes of…
Descriptors: Research Design, Intervals, Statistical Inference, Effect Size
Download full textElango, Rengasamy; Gudep, Vijaya Kumar; Selvam, M. – Electronic Journal of e-Learning, 2008
e-Learning, of late, has been witnessing an unprecedented expansion as an opportunity for higher education. This expanding alternative mode calls for ensuring and imparting a sound and qualitative education. The present study made an attempt to investigate the issues related to the quality dimensions of e-learning. Our results revealed the…
Descriptors: Educational Quality, Electronic Learning, Student Attitudes, College Students
Corder-Bolz, Charles R. – 1978
A Monte Carlo Study was conducted to evaluate six models commonly used to evaluate change. The results revealed specific problems with each. Analysis of covariance and analysis of variance of residualized gain scores appeared to substantially and consistently overestimate the change effects. Multiple factor analysis of variance models utilizing…
Descriptors: Analysis of Covariance, Analysis of Variance, Comparative Analysis, Hypothesis Testing
Reichard, Cary L.; Reid, William R. – J Reading, 1970
Concludes that double spaced reading materials with verified right hand margins had a desirable effect on comprehension for a population of educable mentally retarded pupils. (RW)
Descriptors: Graphic Arts, Hypothesis Testing, Mild Mental Retardation, Performance Factors
Peer reviewedRoss, Kenneth N. – Journal of Educational Statistics, 1979
It is shown that using formulae for the estimation of sampling errors based on simple random sampling, when a design actually involves cluster sampling, can lead to serious underestimation of error. Jackknife and balanced repeated replication are recommended as techniques for dealing with this problem. (Author/CTM)
Descriptors: Foreign Countries, Hypothesis Testing, Research Design, Research Problems
Peer reviewedHedges, Larry V. – Journal of Educational Statistics, 1992
The use of statistical methods to combine the results of independent empirical research studies (metanalysis) has a long history, with work mainly divided into tests of the statistical significance of combined results and methods for combining estimates across studies. Methods of metanalysis and their applications are reviewed. (SLD)
Descriptors: Chi Square, Educational Research, Effect Size, Estimation (Mathematics)
Daniel, Larry G. – Research in the Schools, 1998
Offers a framework for remedying some of the problems associated with the use of statistical significance tests through modifying journal editorial policies. Reviews examples from some journals that have established guidelines for reporting results of statistical significance tests. (SLD)
Descriptors: Editing, Educational Research, Guides, Hypothesis Testing
Galarza-Hernandez, Aitza – 1993
Power refers to the probability that a statistical test will yield statistically significant results. In spite of the close relationship between power and statistical significance, there is a consistent overemphasis in the literature on statistical significance. This paper discusses statistical significance and its limitations and also includes a…
Descriptors: Behavioral Science Research, Editors, Estimation (Mathematics), Hypothesis Testing
Raffeld, Paul; Reynolds, William M. – 1977
The pretest-posttest design referred to as Design 2 by Campbell and Stanley (1963) is commonly used in educational research and evaluation. The tenability of the assumption of a zero population difference commonly used with this design is questioned. A nonzero population estimate based on the mean difference observed in test-retest reliability…
Descriptors: Control Groups, Correlation, Experimental Groups, Hypothesis Testing
Peer reviewedBechtel, Gordon G. – Psychometrika, 1971
A sensitive measurement model is developed that provides transactional scale values for individual members of a group, as well as an evaluation of pairwise interactions and balances that are emergent properties of the group itself. (Author/DG)
Descriptors: Analysis of Variance, Group Dynamics, Hypothesis Testing, Mathematical Models
Peer reviewedZupkis, Robert V. – Reading Teacher, 1970
Descriptors: Control Groups, Data Analysis, Experimental Groups, Hypothesis Testing
Onwuegbuzie, Anthony J.; Levin, Joel R.; Leech, Nancy L. – Learning Disabilities: A Contemporary Journal, 2003
Because of criticisms leveled at statistical hypothesis testing, some researchers have argued that measures of effect size should replace the significance-testing practice. We contend that although effect-size measures have logical appeal, they are also associated with a number of limitations that may result in problematic interpretations of them…
Descriptors: Intervals, Psychological Studies, Learning Disabilities, Testing
Porter, Andrew C.; McSweeney, Maryellen – 1974
A Monte Carlo technique was used to investigate the small sample goodness of fit and statistical power of several nonparametric tests and their parametric analogues when applied to data which violate parametric assumptions. The motivation was to facilitate choice among three designs, simple random assignment with and without a concomitant variable…
Descriptors: Analysis of Covariance, Analysis of Variance, Comparative Analysis, Goodness of Fit
Peer reviewedBhaj, Dinesh S.; Snijders, Tom A. B. – Psychometrika, 1986
Two easily computed test statistics are proposed for testing the equality of two correlated proportions when some observations are missing on both responses. The performance of these tests in terms of size and power is compared with other tests by means of Monte Carlo simulations. (Author/BS)
Descriptors: Correlation, Expectancy Tables, Hypothesis Testing, Mathematical Models
Peer reviewedAnd Others; Roll, Steve – Multiple Linear Regression Viewpoints, 1979
A Type VI error results from inconsistency between the researchers' question of interest and the statistical procedures employed to analyze the data. An example of a research problem is analyzed to show the increase in statistical power resulting from improved research design, using multiple regression instead of analysis of variance. (CTM)
Descriptors: Analysis of Variance, Error Patterns, Higher Education, Hypothesis Testing
