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Yusuf, Mian Muhammad; And Others – 1987
Multiple comparison procedures (MCPs), in the context of analysis of variance, are becoming more popular than the overall F tests. An attempt is made to clarify confusion among the different MCPs by systematically comparing and contrasting the procedures in terms of their purposes, restrictions, robustness to assumptions, and other special…
Descriptors: Analysis of Variance, Comparative Analysis, Robustness (Statistics), Tables (Data)
Horowitz, Harold M. – Journal of Instruction Delivery Systems, 1993
Discussion of interactive classroom technology systems highlights experiments with a new interactive system called RESPONDEX which was used for both course delivery and diagnostic data collection. Studies included class break duration; truthfulness in response to sensitive questions; course design monitoring; and personality and learning style…
Descriptors: Analysis of Variance, Cognitive Style, Computer Assisted Instruction, Data Collection
Peer reviewedMessick, David M. – Educational and Psychological Measurement, 1982
Formulae and graphs are presented allowing computation of the variances of three prototypical distributions over a finite number of categories. The uses of the variances of the maximum variance distribution, the uniform distribution and a unimodal triangular distribution to make inferences about distribution shapes are shown in several examples.…
Descriptors: Analysis of Variance, Hypothesis Testing, Responses, Statistical Analysis
Peer reviewedYost, Michael – New Directions for Institutional Research, 1988
Even the application of such mainstays of the institutional researcher's statistical tool kit as the t test and ANOVA is not always as straightforward as it seems. The researcher must first check to see that the underlying methodological and statistical assumptions are being met. (Author)
Descriptors: Analysis of Variance, Higher Education, Institutional Research, Research Methodology
Peer reviewedLuftig, Jeffrey T. – Journal of Studies in Technical Careers, 1983
This article reviews some of the less well-known hypothesis tests for variance, how they are employed, and how the results may be interpreted. Tests include testing for a single variance and the T-test for correlated variances. (CT)
Descriptors: Analysis of Variance, Data Analysis, Hypothesis Testing, Mathematical Models
Green, Suzy A. – 1990
The issue of power in exploratory single group repeated measures analysis of variance is explored under the condition of heterogeneous correlations across the repeated measures trials. Tables developed from 13 real and hypothetical data sets (70 cells) show how well both univariate and multivariate power is estimated under a variety of conditions…
Descriptors: Analysis of Variance, Correlation, Data Analysis, Effect Size
Prosser, Barbara – 1990
The value of variance is emphasized, and the element of design, frequently not adequately understood, is clarified to underscore the importance of variance to the researcher. Two analytic methods, analysis of variance (ANOVA) and multiple regression, are discussed in terms of how each uses/applies variance. Advantages and major difficulties with…
Descriptors: Analysis of Variance, Data Analysis, Multiple Regression Analysis, Predictor Variables
Peer reviewedHarwell, Michael R.; And Others – Journal of Educational Statistics, 1992
Implications of metanalytic results from Monte Carlo studies of the robustness of the F test in the one- and two-factor fixed effects analysis of variance (ANOVA) models and Monte Carlo results for the B. L. Welch (1947) and Kruskal-Wallis (1952) tests are discussed. (SLD)
Descriptors: Analysis of Variance, Data Interpretation, Mathematical Models, Meta Analysis
Kulik, James A.; Kulik, Chen-Lin C. – 1990
The assumptions and consequences of applying conventional and newer statistical methods to meta-analytic data sets are reviewed. The application of the two approaches to a meta-analytic data set described by L. V. Hedges (1984) illustrates the differences. Hedges analyzed six studies of the effects of open education on student cooperation. The…
Descriptors: Analysis of Variance, Chi Square, Comparative Analysis, Data Analysis
Peer reviewedJeon, Unna H.; Branson, Robert K. – Journal of Educational Technology Systems, 1981
Evaluates the effectiveness of using motion/sound, slide/sound, and story boards in teaching a specific motor skill. Performance tests indicated that learners using motion film performed significantly better than those using either slides or workbooks, and required significantly less time. Thirteen references are listed. (Author/MER)
Descriptors: Analysis of Variance, Films, Media Research, Media Selection
Peer reviewedBejar, Isaac I. – Evaluation and the Health Professions, 1981
Effects of nutritional supplementation on physical development of malnourished children was analyzed by univariate and multivariate methods for the analysis of repeated measures. Results showed that the nutritional treatment was successful, but it was necessary to resort to the multivariate approach. (Author/GK)
Descriptors: Analysis of Variance, Data Analysis, Foreign Countries, Intervention
Peer reviewedMorrison, G. Rolfe; And Others – Journal of Experimental Child Psychology, 1992
An error in the data analysis for a study reported in a 1988 paper by Kail is cited. The paper postulated a model that explained individual differences in the speed of processing on cognitive tasks. Reanalysis of the data suggested that support for the original conclusions is considerably weaker than reported. (LB)
Descriptors: Age Differences, Analysis of Variance, Cognitive Processes, Data Analysis
Huberty, Carl J.; And Others – 1990
What a multivariate contrast analysis should entail and how such an analysis should be conducted are discussed. The three questions encompassing a contrast analysis are: (1) whether the contrast effects are generalizable; (2) which variables contribute most to the contrast effects; and (3) what is the construct underlying the contrast effects.…
Descriptors: Analysis of Variance, Comparative Analysis, Computer Software, Computer Uses in Education
Peer reviewedWilliams, John Delane – Multivariate Behavioral Research, 1991
A proposed solution for the age x cohort x period issue in lifespan research uses all data, even with missing cells; can be used for repeated measures designs or designs in which new subjects are measured at each period; and allows assessment of each main effect and two-way interaction. (SLD)
Descriptors: Age, Analysis of Variance, Cohort Analysis, Data Interpretation
PDF pending restorationJovick, Thomas D. – 1979
The federally funded longitudinal field study called Management Implications of Team Teaching (MITT) required a search for an appropriate strategy for analyzing through-time relationships among selected variables. The MITT project used questionnaires and interviews to collect data concerning the work, governance, attitudes, and orientation of…
Descriptors: Analysis of Variance, Data Analysis, Elementary Education, Field Studies
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