A dataset of multiple treatment effects of standardized mean differences on misinformation and debunking effects.
data(Chan17)
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published or unpublished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
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.
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.