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Sokolowski, Andrzej – IAFOR Journal of Education, 2015
Using meta-analytic techniques this study examined the effects of applying mathematical modelling to support student math knowledge acquisition at the high school and college levels. The research encompassed experimental studies published in peer-reviewed journals between January 1, 2000, and February 27, 2013. Such formulated orientation called…
Descriptors: Mathematical Models, Academic Achievement, Meta Analysis, Effect Size
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Carson, Kenneth P.; And Others – Educational and Psychological Measurement, 1990
The utility of the fail-safe "N" statistic was evaluated by computing it for studies in three organizational research domains in which discrepant conclusions were reached by initial and subsequent meta-analyses. Calculation of the fail-safe "N" may have led to more cautious interpretations. Implications for meta-analyses are…
Descriptors: Comparative Analysis, Effect Size, Evaluation Methods, Institutional Research
Strube, Michael J. – 1986
A general model is described which can be used to represent the four common types of meta-analysis: (1) estimation of effect size by combining study outcomes; (2) estimation of effect size by contrasting study outcomes; (3) estimation of statistical significance by combining study outcomes; and (4) estimation of statistical significance by…
Descriptors: Comparative Analysis, Effect Size, Mathematical Models, Meta Analysis
Reshetar, Rosemary A.; Swaminathan, Hariharan – 1992
This study compared the model of J. E. Grizzle, C. F. Starmer, and G. G. Koch (GSK, 1969) and log-linear model-based approaches for testing hypotheses in r x c contingency tables. Tables were simulated under various conditions of table, sample, row-effect size, and column-effect size. Test statistics for column (main) and interaction effects were…
Descriptors: Chi Square, Classification, Comparative Analysis, Effect Size
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Taylor, Matthew J.; White, Karl R. – Journal of Experimental Education, 1992
Results obtained in a metanalysis using indirect alternative methods of computing standardized mean difference effect sizes (SMDESs) were compared with results obtained from direct calculations of SMDESs. In most cases, alternative methods yield very comparable results and are beneficial to use, especially when sample sizes are large. (SLD)
Descriptors: Comparative Analysis, Disabilities, Early Intervention, Effect Size
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Zucker, Andrew A.; Tinker, Robert; Staudt, Carolyn; Mansfield, Amie; Metcalf, Shari – Journal of Science Education and Technology, 2008
The Technology Enhanced Elementary and Middle School Science II project (TEEMSS), funded by the National Science Foundation, produced 15 inquiry-based instructional science units for teaching in grades 3-8. Each unit uses computers and probeware to support students' investigations of real-world phenomena using probes (e.g., for temperature or…
Descriptors: Mathematical Models, Effect Size, Virtual Classrooms, Grade 7
Wongbundhit, Yuwadee – 1984
Two approaches for conceptualizing and estimating a contextual model for analyzing student achievement are the separate equation approach and the single equation approach. The separate equation method determines the relationship between the individual-level independent variable and the individual-level dependent variable within each group. It then…
Descriptors: Academic Achievement, Comparative Analysis, Computer Simulation, Educational Research
Hummel, Thomas J.; Johnston, Charles B. – 1986
This study investigated seven methods for analyzing multivariate group differences. Bonferroni t statistics, multivariate analysis of variance (MANOVA) followed by analysis of variance (ANOVA), and five other methods were studied using Monte Carlo methods. Methods were compared with respect to (1) experimentwise error rate; (2) power; (3) number…
Descriptors: Analysis of Variance, Comparative Analysis, Correlation, Differences