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Peer reviewedWillis, Jerry; And Others – Psychological Reports, 1974
The use of a university exam to test the effects of ESP produced essentially overlapping distributions of performances by the experimental and control groups. (Author/KM)
Descriptors: Academic Achievement, Psychological Studies, Research Problems, Statistical Significance
Peer reviewedLevy, Kenneth J. – Psychometrika, 1974
Descriptors: Analysis of Variance, Hypothesis Testing, Models, Sampling
Peer reviewedCramer, Elliot M. – Multivariate Behavioral Research, 1974
Descriptors: Correlation, Matrices, Multiple Regression Analysis, Multivariate Analysis
Peer reviewedLord, Frederic M. – Educational and Psychological Measurement, 1974
Descriptors: Correlation, Hypothesis Testing, Statistical Analysis, Statistical Significance
Powers, James E. – 1977
A Bayesian analysis for 2 to the k power factorial arrangements of treatments is presented in this paper. To perform the analysis, an experimenter must specify prior distributions on an orthogonal set of linear functions representing the main effects and interactions and on a function representing the grand mean. The solution is relatively…
Descriptors: Analysis of Variance, Bayesian Statistics, Hypothesis Testing, Statistical Significance
Lindley, Dennis V. – 1972
The standard statistical analysis of data classified in two ways (say into rows and columns) is through an analysis of variance that splits the total variation of the data into the main effect of rows, the main effect of columns, and the interaction between rows and columns. This paper presents an alternative Bayesian analysis of the same…
Descriptors: Analysis of Variance, Bayesian Statistics, Mathematical Models, Statistical Significance
Aiken, Lewis R. – 1979
Although the Statistical Package for the Social Sciences (SPSS) contains no subprogram that is complete in itself for analyzing repeated measures or mixed designs analysis of variance, subprogram ANOVA can be used to obtain almost all the required sums of squares for repeated measures designs, mixed designs having repeated measures on some…
Descriptors: Analysis of Variance, Computer Programs, Research Design, Statistical Significance
KANNER, JOSEPH H.; MARSHALL, WESLEY P. – 1963
A TV AND A CONVENTIONAL (C1) COMPANY OF 156 ARMY TRAINEES WERE FORMED BY MATCHING THEIR APTITUDE SCORES ON THE ARMED FORCES QUALIFICATION TEST. A REVIEW-PREVIEW INSTRUCTIONAL TECHNIQUE WAS USED FOR BOTH COMPANIES, AND FOR OTHER CONVENTIONAL COMPANIES (C2-C8) SELECTED TO PROVIDE INFORMATION SUCH AS AWARENESS OF MEASUREMENT. IN 25 COMPARISONS OF…
Descriptors: Academic Achievement, Aptitude, Educational Television, Statistical Significance
Peer reviewedKohr, Richard L.; Games, Paul A. – Journal of Educational Statistics, 1977
The robustness of the statistic for complex contrasts in analysis of variance is compared to the statistic developed by Welch. The Welch statistic is recommended as the benchmark test for complex contrasts. (Author/JKS)
Descriptors: Analysis of Variance, Hypothesis Testing, Statistical Significance, Student Distribution
Peer reviewedRosnow, Ralph L.; Rosenthal, Robert – Journal of Counseling Psychology, 1988
Presents the strategic advantages of focused over omnibus tests of statistical significance in counseling research, and demonstrates the utility of interpreting the magnitude of the effect as a way of assessing practical significance (i.e., in addition to computing "p" levels). Gives simple procedures for computing effect size using the…
Descriptors: Counseling, Effect Size, Research Methodology, Statistical Analysis
Peer reviewedBerry, Kenneth J.; Mielke, Paul W., Jr. – Educational and Psychological Measurement, 1987
Subroutines to calculate exact chi square and Fisher's exact probability tests are presented for 3 by 2 cross-classification tables. A nondirectional probability value for each test is computed recursively. (Author/GDC)
Descriptors: Computer Software, Probability, Research Design, Statistical Significance
Daniel, Larry G.; Onwuegbuzie, Anthony J. – 2000
This paper proposes a new typology for understanding common research errors that expands on the four types of error commonly discussed in the research literature. Examples are presented to illustrate Type I and Type II errors, errors related to the interpretation of statistically significant and nonsignificant results respectively, with attention…
Descriptors: Classification, Error Patterns, Research Methodology, Research Problems
Peer reviewedRamsey, Philip H.; And Others – Journal of Educational and Psychological Measurement, 1974
Descriptors: Analysis of Variance, Computer Programs, Hypothesis Testing, Statistical Significance
Peer reviewedD'Agostino, Ralph B.; Rosman, Bernard – Psychometrika, 1971
Descriptors: Hypothesis Testing, Research Methodology, Statistical Analysis, Statistical Significance
Roberge, James J. – Educ Psychol Meas, 1970
A program for calculating Kendall's tau-a, tau-b, partial tau, coefficient of concordance, coefficient of consistence, and coefficient of agreement is presented. In addition, the program provides tests of significance for each of the coefficients except partial tau. (DG)
Descriptors: Computer Programs, Correlation, Nonparametric Statistics, Statistical Analysis


