NotesFAQContact Us
Collection
Advanced
Search Tips
Showing 3,331 to 3,345 of 4,508 results Save | Export
Peer reviewed Peer reviewed
Kunce, Joseph T.; And Others – Educational and Psychological Measurement, 1975
Research findings may be more publishable if significant results are reported. This type of publication bias would increase the likelihood of "chance" relationships being disseminated. The implications of these assumptions are empirically investigated in a correlational analogue study. (Author)
Descriptors: Bias, Correlation, Publications, Research Problems
Peer reviewed Peer reviewed
Shine, Lester C. – Educational and Psychological Measurement, 1975
For the Shine-Bower single-subject ANOVA the numerator and demoninator of all F tests based on the Shine-Bower error term are independent of each other. The same property holds for all such tests in the Shine Combined ANOVA except for the test for the trial by subject interaction. (Author/RC)
Descriptors: Analysis of Variance, Research Problems, Statistical Significance
Peer reviewed Peer reviewed
Lutz, J. Gary – Educational and Psychological Measurement, 1974
Descriptors: Computer Programs, Hypothesis Testing, Sampling, Statistical Significance
Peer reviewed Peer reviewed
Brown, Bruce L.; Harshbarger, Thad R. – Educational and Psychological Measurement, 1976
A test is developed for hypotheses about the grand mean in the analysis of variance, using the known relationship between the t distribution and the F distribution with 1 df (degree of freedom) for the numerator. (Author/RC)
Descriptors: Analysis of Variance, Hypothesis Testing, Statistical Significance
Peer reviewed Peer reviewed
Warner, Lyle G.; Gray, Louis – Educational and Psychological Measurement, 1978
The Koppa coefficient is a measure of association between two variables which have been measured dichotomously. Significance tests for comparing Koppa coefficients from multiple samples are presented. (JKS)
Descriptors: Correlation, Hypothesis Testing, Nonparametric Statistics, Statistical Significance
Onwuegbuzie, Anthony J.; Daniel, Larry G. – 2000
The purposes of this paper are to identify common errors made by researchers when dealing with reliability coefficients and to outline best practices for reporting and interpreting reliability coefficients. Common errors that researchers make are: (1) stating that the instruments are reliable; (2) incorrectly interpreting correlation coefficients;…
Descriptors: Correlation, Generalization, Reliability, Research Methodology
Ray, Janet – 2002
The practical significance, usefulness, and generalizability of research have for years hinged on a finding of statistical significance. Voices of reform have called for the use of effect sizes, confidence intervals, and meta-analytic synthesis of research as a way to judge the practical significance and generalizability of a discovery. This paper…
Descriptors: Effect Size, Meta Analysis, Statistical Significance, Synthesis
Peer reviewed Peer reviewed
Alf, Edward; Abrahams, Norman – Educational and Psychological Measurement, 1971
Descriptors: Correlation, Sampling, Statistical Analysis, Statistical Significance
Peer reviewed Peer reviewed
Hendrickson, Gerry F.; Collins, James R. – American Educational Research Journal, 1970
Descriptors: Correlation, Predictor Variables, Statistical Analysis, Statistical Significance
Peer reviewed Peer reviewed
Lunney, Gerald H. – Journal of Educational Measurement, 1970
Descriptors: Analysis of Variance, Statistical Analysis, Statistical Significance
Boroskin, Alan; Lindley, Richard H. – J Exp Psychol, 1970
Descriptors: Memory, Recall (Psychology), Statistical Significance, Verbal Learning
Peer reviewed Peer reviewed
Ekbohm, Gunnar – Psychometrika, 1982
The problem of testing two correlated proportions with incomplete data is considered by means of Monte Carlo simulations studies. A test proposed in this paper, which can be regarded as a generalization of McNemar's test, is recommended in all cases with incomplete data and not too small samples. (Author)
Descriptors: Correlation, Hypothesis Testing, Nonparametric Statistics, Statistical Significance
Peer reviewed Peer reviewed
Cowles, Michael; Davis, Caroline – American Psychologist, 1982
Examination of the literature on statistics indicates that the rejection of the hypothesis of chance dates from the turn of the century. Early statements about statistical significance were given in terms of the "probable error." These earlier conventions were adopted and restated by Fisher in his "Statistical Methods for Research…
Descriptors: Probability, Science History, Statistical Analysis, Statistical Significance
Peer reviewed Peer reviewed
Rosenthal, Robert; Rubin, Donald B. – Journal of Educational Psychology, 1982
The binomial effect size display (BESD) displays the change in success rate attributable to a treatment procedure. It is readily understandable, applicable in varied contexts, and conveniently computed. (Author/GK)
Descriptors: Mathematical Models, Research Methodology, Statistical Significance, Success
Peer reviewed Peer reviewed
Levy, Kenneth J. – Educational and Psychological Measurement, 1980
Analysis of Covariance (ANCOVA) is robust with respect to dual violations of the assumptions of equal regression slopes and normality of distributions provided that group sizes are equal, but displays disruptions of empirical significant levels when unequal regression slopes and unequal group sizes are coupled with nonnormal distributions.…
Descriptors: Analysis of Covariance, Nonparametric Statistics, Statistical Significance
Pages: 1  |  ...  |  219  |  220  |  221  |  222  |  223  |  224  |  225  |  226  |  227  |  ...  |  301