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Peer reviewedGocka, Edward F. – Educational and Psychological Measurement, 1974
Focuses on the procedures available for substituting a special predictive coding method for some of the more complex general regression procedures. (Author)
Descriptors: Analysis of Variance, Codification, Correlation, Predictor Variables
Thompson, Bruce – 1987
The use of planned, or "a priori," and unplanned, or "post hoc," comparisons to isolate differences among means in analysis of variance research is discussed. Planned comparisons typically involve weighting data by sets of "contrasts." Planned comparison offer more power against Type II errors. In addition, they force…
Descriptors: Analysis of Variance, Research Methodology, Statistical Analysis, Statistical Significance
PDF pending restorationWolfle, Lee M.; Ethington, Corinna A. – 1984
In his early exposition of path analysis, Duncan (1966) noted that the method "provides a calculus for indirect effects." Despite the interest in indirect causal effects, most users treat them as if they are population parameters and do not test whether they are statistically significant. Sobel (1982) has recently derived the asymptotic…
Descriptors: Algorithms, Computer Software, Hypothesis Testing, Path Analysis
Lehrer, Richard – 1981
Log linear models are proposed for the analysis of structural relations among multidimensional developmental contingency tables. Model of quasi-independence are suggested for testing specific hypothesized patterns of development. Transitions in developmental categorizations are described by Markov models applied to successive contingency tables. A…
Descriptors: Developmental Stages, Goodness of Fit, Mathematical Models, Statistical Analysis
ARMSTRONG, CHARLES M.; WOHLFERD, GERALD H. – 1966
JOINTLY CONSIDERING THE FACTORS OF SAMPLE SIZE (N-10 TO N-1000) AND THE STANDARD DEVIATION OF THE CRITERION MEASURE (SD-1 TO SD-25), A TABLE SHOWS THE DIFFERENCE BETWEEN TREATMENTS NEEDED FOR STATISTICAL SIGNIFICANCE AT THE .05 LEVEL. THUS, IF THE EDUCATIONAL RESEARCHER HAS APPROPRIATE INFORMATION ON PAST PERFORMANCE, HE CAN CONSULT THE TABLE TO…
Descriptors: Educational Research, Experiments, Prediction, Research
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
Timm, Neil H. – 1974
Multivariate models are demonstrated to analyze repeated measures profile and growth curve data when univariate or multivariate mixed model assumptions are not tenable. Standard mixed model tests are recovered from certain multivariate hypotheses. The procedures are illustrated using numerical examples. (Author/RC)
Descriptors: Hypothesis Testing, Matrices, Models, Nonparametric Statistics
Games, Paul A. – 1977
Games (1973) criticized the Marascuilo and Levin (1970) "nested" or simple effects design as a poor substitute for the usual logic of a factorial analysis of variance. Marascuilo and Levin's use of "nesting" is completely idiosyncratic and contrary to well-established usage, thus confusing the student. Proper usage is…
Descriptors: Analysis of Variance, Error Patterns, Mathematical Models, Statistical Analysis
Shaver, James P. – Phi Delta Kappan, 1985
A dialog between two fictional teachers provides some basic examples of how research that uses approved methodology may provide results that are significant statistically but not significant practically. (PGD)
Descriptors: Educational Research, Research Methodology, Research Problems, Sampling
Shaver, James P. – Phi Delta Kappan, 1985
The second half of a dialogue between two fictional teachers examines the significance of statistical significance in research and considers the factors affecting the extent to which research results provide important or useful information. (PGD)
Descriptors: Educational Research, Research Methodology, Research Problems, Sampling
Peer reviewedKolm, Paul – Educational and Psychological Measurement, 1984
Intended for use on Conversational Monitor System (CMS), the Tukey FORTRAN program facilitates pairwise comparisons among means following a significant Fratio in an analysis of variance. Tukey's statistic can be obtained by entering information regarding the design and analysis of variance results. Two variations are also available. (Author/BS)
Descriptors: Analysis of Variance, Computer Software, Research Design, Statistical Analysis
Peer reviewedGames, Paul A. – American Educational Research Journal, 1971
See EJ 041 277 for original article. (DG)
Descriptors: Analysis of Variance, Hypothesis Testing, Research Methodology, Statistical Analysis
Peer reviewedElster, Richard S.; Dunnette, Marvin D. – Educational and Psychological Measurement, 1971
Descriptors: Hypothesis Testing, Measurement Techniques, Probability, Sampling
Peer reviewedGames, Paul A. – American Educational Research Journal, 1971
Twelve multiple comparison tests, both simultaneous and sequential, are described, analyzed, and evaluated. Overall recommendations are presented in a flow-diagram. (DG)
Descriptors: Analysis of Variance, Hypothesis Testing, Research Methodology, Statistical Analysis
Roberge, James J. – Educ Psychol Meas, 1970
This nonparametric analysis of variance program includes the Kruskal-Wallis, Friedman, and Cochran methods. (DG)
Descriptors: Analysis of Variance, Computer Programs, Nonparametric Statistics, Statistical Analysis


