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Shaffer, Juliet Popper; Gillo, Martin W. – Educational and Psychological Measurement, 1974
Descriptors: Analysis of Variance, Research Methodology, Sampling, Statistical Significance
Sawilowsky, Shlomo S.; Markman, Barry S. – 1988
This paper demonstrates that a meta-analysis technique applied to the Solomon Four-Group Design (SFGD) can fail to find significance even though an earlier "weaker" test may have found significance. The meta-analysis technique was promoted by Braver and Braver as the most powerful single test for analyzing data from an SFGD. They…
Descriptors: Equations (Mathematics), Mathematical Models, Meta Analysis, Statistical Significance
Robey, Randall R.; Barcikowski, Robert S. – 1988
A recent survey of simulation studies concluded that an overwhelming majority of papers do not report a rationale for the number of iterations carried out in Monte Carlo robustness (MCR) experiments. The survey suggested that researchers might benefit from adopting a hypothesis testing strategy in the planning and reporting of simulation studies.…
Descriptors: Effect Size, Monte Carlo Methods, Simulation, Statistical Significance
Peer reviewed Peer reviewed
Brewer, James K. – American Educational Research Journal, 1974
See TM 501 201-3 and EJ 060 883 for related articles. (MLP)
Descriptors: Bayesian Statistics, Hypothesis Testing, Power (Statistics), Statistical Significance
Peer reviewed Peer reviewed
Braver, Sanford L. – Educational and Psychological Measurement, 1975
The controversy regarding the admissibility of one-tailed tests of hypotheses was examined. Rather than taking a stand with regard to whether the one-or the two-tailed test is the most seriously flawed, a procedure is developed which can capitalize on the advantages of each. (RC)
Descriptors: Comparative Analysis, Hypothesis Testing, Prediction, Probability
Dunn-Rankin, Peter; King, F. J. – Educ Psychol Meas, 1969
Descriptors: Evaluation Methods, Item Analysis, Scaling, Statistical Significance
SUPPES, PATRICK; AND OTHERS – 1965
FIFTEEN DAILY DRILLS EMPHASIZING MASTERY OF BASIC NUMBER FACTS, SUCH AS ARITHMETIC OPERATIONS AND UNITS OF MEASUREMENT WERE CONSTRUCTED TO ENCOMPASS 7 PREVIOUSLY REPORTED ATTRIBUTES OF AN EFFECTIVE DRILL. ATTRIBUTES ARE MIXED DRILL, TIME LIMIT, INCREASINGLY DIFFICULT EXAMPLES, THOROUGH COVERAGE, FREQUENT AND SMALL AMOUNTS, VERBAL PROBLEMS,…
Descriptors: Arithmetic, Feedback, Problem Sets, Statistical Significance
FLEMING, MALCOLM L. – 1966
OBJECTIVES OF THIS STUDY WERE TO DESIGN AND TEST A TAXONOMY OF ILLUSTRATIONS OF 4 TYPES--PHYSICAL (PICTURES), VERBAL MODIFIER (CAPTION), EDUCATIONAL OBJECTIVE, AND SUBJECT MATTER. CHI-SQUARE ANALYSIS OF ASSOCIATION AMONG THE TYPES IN A SAMPLE OF 40 GRADE 8 TEXTS IN 4 SUBJECT AREAS WOULD SUGGEST HYPOTHESES FOR FURTHER SYSTEMATIC RESEARCH RELATING…
Descriptors: Classification, Comparative Analysis, Illustrations, Statistical Significance
Kohr, Richard L.; Games, Paul A. – 1974
An empirical sampling study investigated six procedures for testing differences between means in the presence of unequal n's and variances. Support was obtained for previous research which found t robust to heterogeneous variances only when n's are equal and of moderate size. The procedure which emerged as providing the best control over Type I…
Descriptors: Hypothesis Testing, Probability, Sampling, Statistical Analysis
Brown, Bobby R.; Lathrop, Robert L. – 1971
This study investigated the effects of non-normality of the marginal distributions of the bivariate surface upon the sampling distribution of certain tests of significance of differences for the product moment correlation coefficient. The effects of non-normality were found to be rather substantial and to be dependent upon: 1) the degree of…
Descriptors: Correlation, Research Methodology, Sampling, Statistical Analysis
Toothaker, Larry E. – 1971
Various cases of unequal variances and unequal sample sizes from a normal and a skewed population were used to empirically obtain the probability of a Type I error and the power for the permutation t-test as compared to Student's t-test and the Mann-Whitney U-test. Empirical results showed differences for different sample sizes, variance ratios,…
Descriptors: Nonparametric Statistics, Research Methodology, Statistical Analysis, Statistical Significance
Peer reviewed Peer reviewed
Levy, Kenneth J. – Educational and Psychological Measurement, 1976
Marascuilo (1966) proposes a chi square analog of Scheffe's multiple comparisons procedure. With respect to pairwise comparisons among k independent correlation coefficients, a multiple range procedure will produce lower critical values than the corresponding chi square values, thereby increasing the power of the resulting tests. Basis of the…
Descriptors: Analysis of Variance, Correlation, Mathematical Models, Statistical Significance
Peer reviewed Peer reviewed
Marcus, Ruth – Psychometrika, 1978
A general method of devising stepwise multiple testing procedures with fixed experimentwise error is applied to the problem of non-parametric randomized block design with ordered alternatives. In addition, the method is applied to other models with ordered alternatives. (Author)
Descriptors: Hypothesis Testing, Nonparametric Statistics, Statistical Analysis, Statistical Significance
Peer reviewed Peer reviewed
Berry, Kenneth J.; Mielke, Paul W., Jr. – Educational and Psychological Measurement, 1986
An algorithm and associated FORTRAN-77 computer subroutine are described for computing Goodman and Kruskal's tau-b statistic along with the associated nonasymptotic probability value under the null hypothesis tau=O. (Author)
Descriptors: Algorithms, Computer Software, Programing Languages, Sampling
Peer reviewed Peer reviewed
Gradstein, Mark – Journal of Educational Statistics, 1986
The purpose of this paper is to calculate the upper limit of the correlation between normal and dichotomous variables. An empirically obtained correlation should be evaluated in view of this limit, instead of the usual limit of Pearson correlation. (Author)
Descriptors: Correlation, Equations (Mathematics), Predictor Variables, Probability
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