Journal ArticleDOI
A meta-analytic review of the distribution of practice effect: Now you see it, now you don't.
John J. Donovan,David J. Radosevich +1 more
- Vol. 84, Iss: 5, pp 795-805
TLDR
A meta-analysis of 63 studies with 112 effect sizes yielded an overall mean weighted effect size of 0.46, indicating that individuals in spaced practice conditions performed significantly higher than those in massed practice conditions.Abstract:
The present review examined the relationship between conditions of massed practice and spaced practice with respect to task performance. A meta-analysis of 63 studies with 112 effect sizes yielded an overall mean weighted effect size of 0.46, indicating that individuals in spaced practice conditions performed significantly higher than those in massed practice conditions. Subsequent analyses, however, suggested that the nature of the task- being practiced, the intertrial time interval, and the interaction between these two variables significantly moderated the relationship between practice conditions and performance. In addition,, significantly higher effect sizes were found in studies with low methodological rigor as compared with those studies higher in rigor. Directions for future research and applications of the findings are discussed.read more
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Training Transfer: An Integrative Literature Review:
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References
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TL;DR: The concepts of power analysis are discussed in this paper, where Chi-square Tests for Goodness of Fit and Contingency Tables, t-Test for Means, and Sign Test are used.
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Statistical Methods for Meta-Analysis
Larry V. Hedges,Ingram Olkin +1 more
TL;DR: In this article, the authors present a model for estimating the effect size from a series of experiments using a fixed effect model and a general linear model, and combine these two models to estimate the effect magnitude.
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Foundations of Behavioral Research
Fred N. Kerlinger,Howard B. Lee +1 more
TL;DR: In this article, the authors focus on the relationship between the research problems and the design of the research, and emphasize the fundamentals of understanding how to solve a scientific research problem, focusing upon the relationships between the problems and their solutions.