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Itang'ata, Mukaria J. J. – ProQuest LLC, 2013
Often researchers face situations where comparative studies between two or more programs are necessary to make causal inferences for informed policy decision-making. Experimental designs employing randomization provide the strongest evidence for causal inferences. However, many pragmatic and ethical challenges may preclude the use of randomized…
Descriptors: Comparative Analysis, Probability, Statistical Bias, Monte Carlo Methods
Watson, Jane; Chance, Beth – Australian Senior Mathematics Journal, 2012
Formal inference, which makes theoretical assumptions about distributions and applies hypothesis testing procedures with null and alternative hypotheses, is notoriously difficult for tertiary students to master. The debate about whether this content should appear in Years 11 and 12 of the "Australian Curriculum: Mathematics" has gone on…
Descriptors: Foreign Countries, Research Methodology, Sampling, Statistical Inference
Buchanan, Taylor L.; Lohse, Keith R. – Measurement in Physical Education and Exercise Science, 2016
We surveyed researchers in the health and exercise sciences to explore different areas and magnitudes of bias in researchers' decision making. Participants were presented with scenarios (testing a central hypothesis with p = 0.06 or p = 0.04) in a random order and surveyed about what they would do in each scenario. Participants showed significant…
Descriptors: Researchers, Attitudes, Statistical Significance, Bias
Feng, Mingyu; Beck, Joseph E.; Heffernan, Neil T. – International Working Group on Educational Data Mining, 2009
A basic question of instructional interventions is how effective it is in promoting student learning. This paper presents a study to determine the relative efficacy of different instructional strategies by applying an educational data mining technique, learning decomposition. We use logistic regression to determine how much learning is caused by…
Descriptors: Data Analysis, Intelligent Tutoring Systems, Sampling, Statistical Inference

Serlin, Ronald C. – Journal of Experimental Education, 1993
Several new multiple comparison procedures are discussed in terms of their applicability to the problem of generating confidence intervals based on range null hypotheses to control the familywise Type 1 error in multiple sample experiments. These procedures seem fairly robust to violations of normality and homogeneity assumptions. (SLD)
Descriptors: Comparative Analysis, Hypothesis Testing, Robustness (Statistics), Sampling

Martin, Charles C.; Games, Paul A. – Journal of Educational Statistics, 1977
Two potentially useful tests for homogeneity of variance--the jackknife test and the Box test--are described and compared. Recommendations for the use of these techniques and computational examples of each are provided. (Author/JKS)
Descriptors: Analysis of Variance, Comparative Analysis, Hypothesis Testing, Sampling

Bechtoldt, Harold P. – Psychometrika, 1974
Procedures developed by Joreskog for studying similarities and differences in factor structures between different groups were applied to data from a study by Thurstoen to investigate the sampling stability of a hypothesized isolated configuration. The hypothesis of an isolated configuration was rejected but not by much. (Author/RC)
Descriptors: Comparative Analysis, Factor Analysis, Factor Structure, Hypothesis Testing
Priest, Robert F.; Butler, Richard P. – 1975
The advantages of Goodman's Gamma, a measure of association, are discussed in reference to the Pearson coefficient of contingency. Both theoretical and practical advantages and disadvantages are discussed. An empirical comparison of the two measures shows that gamma detects significant relationships which chi square does not, and that gamma is…
Descriptors: Comparative Analysis, Computer Programs, Correlation, Hypothesis Testing

Hamdan, M. A.; And Others – Psychometrika, 1975
Four different extensions to McNemar's problem concerning the hypothesis of equal probabilities for the unlike pairs of correlated binary variables are considered, each for testing simultaneous equality of proportions of unlike pairs in c independent populations of correlated binary variables, but each under different assumptions and/or additional…
Descriptors: Comparative Analysis, Criteria, Goodness of Fit, Hypothesis Testing
Wilcox, Rand R. – Educational and Psychological Measurement, 2006
For two random variables, X and Y, let D = X - Y, and let theta[subscript x], theta[subscript y], and theta[subscript d] be the corresponding medians. It is known that the Wilcoxon-Mann-Whitney test and its modern extensions do not test H[subscript o] : theta[subscript x] = theta[subscript y], but rather, they test H[subscript o] : theta[subscript…
Descriptors: Scores, Inferences, Comparative Analysis, Statistical Analysis
Young, I. Phillip – Journal of Research on Leadership Education, 2008
Empirical studies addressing admission to and graduation from a doctoral program focusing on educational leadership are noticeably absent within the professional literature, and this study seeks to fill partially this void through testing specific hypotheses. Archival data were used to conduct a three group discriminant analyses where the…
Descriptors: Grade Point Average, Predictive Validity, Doctoral Programs, Sampling

Feir-Walsh, Betty J.; Toothaker, Larry E. – Educational and Psychological Measurement, 1974
Descriptors: Analysis of Variance, Comparative Analysis, Hypothesis Testing, Nonparametric Statistics

Hakstian, A. Ralph; Whalen, Thomas E. – Psychometrika, 1976
Details of a reasonably precise normalization technique for coefficient alpha are outlined, along with methods for estimating the variance of the normalized statistic. These procedures lead to the K-sample significance test. (RC)
Descriptors: Analysis of Variance, Comparative Analysis, Error Patterns, Hypothesis Testing
Bennett, Richard P. – 1983
This study examines the relative effectiveness of two means of analyzing the pre-test/post-test control group experimental design. Samples were randomly drawn from a standardized normal population and assigned to one of the four cells of the design. A set of experimental differences were induced in the post-test experimental cell. Each case was…
Descriptors: Analysis of Covariance, Comparative Analysis, Hypothesis Testing, Pretests Posttests

Meador, Roy, III; Wittig, Glenn R. – Library Resources and Technical Services, 1991
Describes research that was conducted to determine and then compare which Anglo American Cataloging 2 (AACR2) rules were used to assign access points for random samples of monographs in chemistry and in economics. Implications for automatic cataloging using expert systems are explored, and suggestions for further studies are given. (10 references)…
Descriptors: Cataloging, Chemistry, Comparative Analysis, Economics
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