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Peer reviewedMeyer, Donald L. – American Educational Research Journal, 1974
See TM 501 202-3 and EJ 060 883 for related articles. (MLP)
Descriptors: Bayesian Statistics, Hypothesis Testing, Power (Statistics), Research Design
Peer reviewedHettmansperger, Thomas P. – Psychometrika, 1975
Treats the problem of testing an ordered hypothesis based on the ranks of the data. Statistical procedures for the randomized block design with more than one observation per cell are derived. Multiple comparisions and estimation procedures are included. (Author/RC)
Descriptors: Correlation, Data Analysis, Hypothesis Testing, Nonparametric Statistics
Peer reviewedMcDonald, Roderick P. – Psychometrika, 1975
Descriptors: Analysis of Covariance, Factor Analysis, Hypothesis Testing, Matrices
Peer reviewedBird, Kevin D. – Multivariate Behavioral Research, 1975
Generalizations of the Scheffe, Tukey, and Bonferroni-t techniques are presented, each of which controls the experimentwise error rate for a particular type of partially or fully planned analysis. All three procedures provide more power than multivariate analysis of variance (MANOVA) tests. (Author/BJG)
Descriptors: Analysis of Variance, Error Patterns, Hypothesis Testing, Research Methodology
Peer reviewedReicken, Henry W.; And Others – Educational Researcher, 1974
A list of major objectives, which are said to clarify the answers to the question why one should experiment is presented. Among those purposes cited are: hypothesis testing, development of social programs, development of comprehensive programs, and the evaluation of a concept or claim. (AM)
Descriptors: Experiments, Hypothesis Testing, Intervention, Investigations
Rodger, R. S. – 1974
A fairly large number of different methods exist for evaluating comparisons or null hypothetical contrasts. Because it is difficult to choose among them, this paper develops a 2 by 2 classification of the methods. The first dimension of the classification is decision-based error rate vs. experimentwise error rate. The second dimension is planned…
Descriptors: Classification, Evaluation Methods, Hypothesis Testing, Mathematical Models
Huberty, Carl J.; Smith, Jerry D. – 1981
A particular strategy for investigating effects resulting from a multivariate analysis of variance (MANOVA) is proposed. The strategy involves multiple two-group multivariate analyses. The two groups result from considering multivariate pairwise group contrasts or multivariate complex group contrasts. Assuming a given two-group analysis yields…
Descriptors: Analysis of Variance, Comparative Analysis, Discriminant Analysis, Hypothesis Testing
Day, H. D.; Marshall, Dave – 1981
In the light of research by Epstein (1979) (which reported that error of measurement in the analysis of behavior stability may be reduced by examining the behavior of aggregate stability coefficients computed for measurements with known stability characteristics), this study examines stability coefficients for computer-generated data sets…
Descriptors: Behavior Change, Behavior Patterns, Error of Measurement, Hypothesis Testing
LAPLANT, JAMES CLAYTON – 1967
A STUDY OF 12 WISCONSIN SCHOOL DISTRICTS MEASURED THE RELATIONSHIP BETWEEN THE EXTENT OF INNOVATIVENESS EXHIBITED IN SCHOOL DISTRICTS AND THE DEGREE OF CONSENSUS OF EXPECTATIONS FOR THE SCHOOL BOARD ROLE WITHIN AND BETWEEN GROUPS OF CITIZENS, TEACHERS, ELECTED MUNICIPAL OFFICIALS, AND SCHOOL BOARD MEMBERS. MEASURES OF INNOVATIVENESS INCLUDED (1)…
Descriptors: Board of Education Role, Diffusion, Educational Innovation, Hypothesis Testing
Newman, Isadore; Oravecz, Michael T. – 1977
The major concern for any research model, whether disproportionate or not, is the research question and how well that question is reflected by the model. Three "exact solutions" for disproportional situations, the hierarchial, unadjusted main effects, and fitting constant methods, are discussed in terms of the research question that each…
Descriptors: Analysis of Variance, Hypothesis Testing, Mathematical Models, Research Design
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
Burrill, Donald F. – 1974
Techniques for detecting synergistic effects in analysis of variance designs are presented and discussed. These techniques make it possible to apply some kinds of theoretical insights to the data analysis phase of a study: either by seeking synergistic effects implied or predicted by theory, or by seeking evidence of synergies as alternative…
Descriptors: Analysis of Variance, Hypothesis Testing, Research Design, Statistical Analysis
Draper, John F. – 1974
A study was made of the problem of representing the expectations of mean squares associated with analysis of variance sources of variation for experimental designs. These designs have a factorial structure over repeated measures or, for some other reason, have variates within a factorial design not all of which are mutually independent. A simple…
Descriptors: Analysis of Variance, Expectation, Hypothesis Testing, Mathematical Models
PDF pending restorationTritchler, David L.; Pedrini, D. T. – 1974
The Fisher Exact Probability Test considers independent groups and dichotomous criterion in a 2 by 2 (fourfold) contingency table. Fisher's test requires a determination of the combined probability of the observed frequency distribution and of the more extreme (in the same direction) frequency distributions. Typically, Fisher's test is for a small…
Descriptors: Computer Programs, Hypothesis Testing, Probability, Program Descriptions
Killian, C. Rodney; Hoover, H. D. – 1974
The power of the t, expected normal scores, Mann-Whitney U, Tukey, a modified Mann-Whitney U, and an adaptive procedure were investigated when sampling from population models empirically developed from test score distributions. The models used were selected members of the beta family. This investigation was unique in that not only did the means of…
Descriptors: Hypothesis Testing, Investigations, Models, Nonparametric Statistics


