Chan17: Dataset from Chan, Jones, Jamieson, and Albarracin (2017)

In mikewlcheung/metasem: Meta-Analysis using Structural Equation Modeling

Dataset from Chan, Jones, Jamieson, and Albarracin (2017)

Description

A dataset of multiple treatment effects of standardized mean differences on misinformation and debunking effects.

Usage

data(Chan17)

Format

A data frame with 34 independent samples from 6 research reports.

Author

a character vector of study

g_misinfo

Hedges' g of misinformation comparing the misinformation experimental and control groups

g_debunk

Hedges' g of debunking comparing the debuking experimental and misinformation experimental groups

v_misinfo

sampling variance of g_misinfo

c_mis_deb

Sampling covariance between g_misinfo and g_debunk due to the overlap of the misinformation experimental group

v_debunk

sampling variance of g_debunk

PublicationYear

publication year

Published

published or unpublished

MeanAge

mean age of participants

PctFemale

percentage of female participants

Details

The sampling variances and covariances are calculated using Gleser and Olkin's (2009) method for multiple treatment effects (Equations 3.3 and 3.4). Since the sample sizes of the misinformation, debunking, and control groups are not given, it is assumed they are equal.

Source

Chan, M. S., Jones, C. R., Hall Jamieson, K., & Albarracin, D. (2017). Debunking: A meta-analysis of the psychological efficacy of messages countering misinformation. Psychological Science, 28(11), 1531-1546. https://doi.org/10.1177/0956797617714579

References

Gleser, L. J., & Olkin, I. (2009). Stochastically dependent effect sizes. In H. Cooper, L. V. Hedges, & J. C. Valentine (Eds.), The handbook of research synthesis and meta-analysis. (2nd ed., pp. 357-376). Russell Sage Foundation.

mikewlcheung/metasem documentation built on Sept. 25, 2024, 4:09 a.m.