Learn R Programming

metaSEM (version 0.9.10)

Aloe14: Multivariate effect sizes between classroom management self-efficacy (CMSE) and other variables reported by Aloe et al. (2014)

Description

This study reports sixteen studies on the effect sizes (correlation coefficients) between CMSE and emotional exhaustion (EE), depersonalization (DP), and (lowered) personal accomplishment (PA) reported by Aloe et al. (2014).

Usage

data("Aloe14")

Arguments

Format

A data frame with 16 observations on the following 14 variables.

Source

Aloe, A. M., Amo, L. C., & Shanahan, M. E. (2014). Classroom management self-efficacy and burnout: A multivariate meta-analysis. Educational Psychology Review, 26(1), 101-126. doi:10.1007/s10648-013-9244-0

Examples

Run this code
## Not run: 
# data(Aloe14)
# 
# ## Random-effects meta-analysis
# meta1 <- meta(cbind(EE,DP,PA), cbind(V_EE, C_EE_DP, C_EE_PA, V_DP, C_DP_PA, V_PA),
#               data=Aloe14)
# summary(meta1)
# 
# ## Extract the coefficients for the variance component of the random effects
# coef1 <- coef(meta1, select="random")
# 
# ## Convert it into a symmetrix matrix by row major
# my.cov <- vec2symMat(coef1, byrow=TRUE)
# 
# ## Convert it into a correlation matrix
# cov2cor(my.cov)
# 
# ## Plot the multivariate effect sizes
# plot(meta1)
# ## End(Not run)

Run the code above in your browser using DataLab