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Rosenthal, James A. – Springer, 2011
Written by a social worker for social work students, this is a nuts and bolts guide to statistics that presents complex calculations and concepts in clear, easy-to-understand language. It includes numerous examples, data sets, and issues that students will encounter in social work practice. The first section introduces basic concepts and terms to…
Descriptors: Statistics, Data Interpretation, Social Work, Social Science Research
Peer reviewed Peer reviewed
Kraemer, Helena Chmura – Psychometrika, 1975
A selection of statistical problems commonly encountered in psychological or psychiatric research concerning correlation coefficients are re-evaluated in the light of recently developed simplifications in the forms of the distribution theory of the intraclass correlation coefficient, of the product-moment correlation coefficient, and the Spearman…
Descriptors: Correlation, Hypothesis Testing, Nonparametric Statistics, Statistical Significance
Peer reviewed Peer reviewed
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
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