Journal ArticleDOI
Combining effect size estimates in meta-analysis with repeated measures and independent-groups designs.
TLDR
In this paper, a method for combining results across independent-groups and repeated measures designs is described, and the conditions under which such an analysis is appropriate are discussed, and a meta-analysis procedure using design-specific estimates of sampling variance is described.Abstract:
When a meta-analysis on results from experimental studies is conducted, differences in the study design must be taken into consideration. A method for combining results across independent-groups and repeated measures designs is described, and the conditions under which such an analysis is appropriate are discussed. Combining results across designs requires that (a) all effect sizes be transformed into a common metric, (b) effect sizes from each design estimate the same treatment effect, and (c) meta-analysis procedures use design-specific estimates of sampling variance to reflect the precision of the effect size estimates.read more
Citations
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A multilevel meta-analysis of single-subject experimental design studies
TL;DR: In this paper, a multilevel approach is proposed to synthesize the results of single-subject experimental research by combining either raw data or effect-size measures, which allows us to make inferences not only about the effects for the participants that are investigated, but also about the generality of the effects.
Journal ArticleDOI
Development of self-esteem from age 4 to 94 years: A meta-analysis of longitudinal studies.
TL;DR: The meta-analytic findings clarify previously unresolved issues about the nature and magnitude of self-esteem change in specific developmental periods (i.e., childhood, adolescence, and old age) and draw a much more precise picture of the life span trajectory ofSelf-esteem.
Journal ArticleDOI
Meta-analysis of the impact of Augmented Reality on students’ learning gains
Juan Garzón,Juan Acevedo +1 more
TL;DR: In this paper, the authors conducted a meta-analysis of 64 quantitative research papers published between 2010 and 2018 in major journals to analyze the impact of AR on students' learning gains and analyzed the influence of moderating variables such as control treatment, learning environment, learner type, and domain subject on the learning gains.
Journal ArticleDOI
How to Boost Positive Interpretations? A Meta-Analysis of the Effectiveness of Cognitive Bias Modification for Interpretation
Claudia Menne-Lothmann,Wolfgang Viechtbauer,Petra Höhn,Zuzana Kasanova,Simone P. Haller,Marjan Drukker,Jim van Os,Marieke Wichers,Jennifer Y. F. Lau +8 more
TL;DR: Although the effects of emotional dysregulation and number of training sessions could not well be distinguished, there is an indication that when used with imagery instructions and more training sessions, benign CBM-I can be employed as a useful complementary treatment to usual psychotherapies.
Journal ArticleDOI
Does College Teach Critical Thinking? A Meta-Analysis
TL;DR: In this paper, a meta-analysis synthesizes research on gains in critical thinking skills and attitudinal dispositions over various time frames in college and concludes that both critical thinking and dispositions improve substantially over a normal college experience.
References
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Book
Statistical Principles in Experimental Design
TL;DR: In this article, the authors introduce the principles of estimation and inference: means and variance, means and variations, and means and variance of estimators and inferors, and the analysis of factorial experiments having repeated measures on the same element.
Journal ArticleDOI
Statistical Principles in Experimental Design
TL;DR: This chapter discusses design and analysis of single-Factor Experiments: Completely Randomized Design and Factorial Experiments in which Some of the Interactions are Confounded.
Book
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.
Journal ArticleDOI
Statistical Methods for Meta-Analysis.
TL;DR: In this paper, 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.