Journal ArticleDOI
Combining effect size estimates in meta-analysis with repeated measures and independent-groups designs.
Reads0
Chats0
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
More filters
Journal ArticleDOI
A pilot study of user satisfaction and perceived helpfulness of the Swedish version of the mobile app PTSD Coach
TL;DR: The perceived helpfulness and user satisfaction were slightly lower compared to research on the original version of the PTSD Coach, which has shown to be effective in reducing symptoms of posttraumatic stress disorder.
Journal ArticleDOI
How imagining personal future scenarios influences affect: Systematic review and meta-analysis.
TL;DR: A meta-analysis of 63 experimental studies found that imagining the future has a moderate to strong impact on affect, and it has a stronger influence on affect compared to remembering the past.
Journal ArticleDOI
Using the Linear Mixed-Effect Model Framework to Estimate Generalizability Variance Components in R
TL;DR: G theory as discussed by the authors allows more sources of variations to be investigated and therefore provides the accuracy of generalizing observed scores to a broader univeral universtive test setting, and thus provides the ability to generalize observed scores.
Journal ArticleDOI
Factors contributing to reduced caregiver strain in a publicly-funded child mental health system.
Erin C. Accurso,Ann F. Garland,Rachel Haine-Schlagel,Lauren Brookman-Frazee,Mary J. Baker-Ericzén +4 more
TL;DR: It is suggested that attending to both child and caregiver factors may be important in maintaining improvements after initiating usual care, and that child symptom severity and caregIVER strain affect each other over time.
Journal ArticleDOI
Professionalizing Pre-Service Biology Teachers’ Misconceptions about Learning and the Brain through Conceptual Change
Finja Grospietsch,Jürgen Mayer +1 more
TL;DR: In this article, the authors investigate whether and to what extent a university course developed in accordance with a professional conceptual change model can reduce pre-service biology teachers' endorsement of neuromyths.
References
More filters
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.