scispace - formally typeset
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

Understanding dehumanization: the role of agency and communion

TL;DR: This article examined the role of agency and communion in viewing people as fully human and found that granting agency might limit the denial of full human potential to an individual or a social group, which is the psychological roots of dehumanization.
Journal ArticleDOI

Expectancy of success, subjective task-value, and message frame in the appraisal of value-promoting messages made prior to a high-stakes examination

TL;DR: The authors examined whether message-frame (gain or loss-framed messages) also influences the appraisal of value-promoting messages and found that a loss-frame message resulted in a stronger threat appraisal, and a gain-framing message in a greater disregarding appraisal for the vignette with high subjective task-value and high expectancy of success.
Journal ArticleDOI

Does the birth of a first child reduce the father's offending?

TL;DR: The Cambridge Study in Delinquent development, a longitudinal study of 411 South London males followed since age 10 and into middle adulthood, showed that, while reductions in offending, from several years before the child's birth to several years after the child birth, are associated with having a child, the effects are not large.
Journal ArticleDOI

Brief Report: Reduced Restricted and Repetitive Behaviors after Pivotal Response Treatment

TL;DR: RRBs, as measured by the repetitive behavioral scales-revised (RBS-R) and aberrant behaviors checklist, decreased significantly after treatment and remained significant after controlling for change in social communication skills.
Journal ArticleDOI

The surprising costs of silence: Asymmetric preferences for prosocial lies of commission and omission.

TL;DR: It is demonstrated that communicators and targets make egocentric moral judgments of deception, which have psychological and practical implications for medicine, management, behavioral ethics, and human communication.
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

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.