Aloe14 | R Documentation |
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).
data("Aloe14")
A data frame with 16 observations on the following 14 variables.
Study
a factor with levels Betoret
Brouwers & Tomic
Bumen
Chang
Durr
Evers et al.
Friedman
Gold
Huk
Kress
Kumarakulasingam
Martin et al.
Ozdemir
Skaalvik and Skaalvik
Williams
Year
Year of publication
EE
Emotional exhaustion
DP
Depersonalization
PA
(Lowered) personal accomplishment
V_EE
Sampling variance of emotional exhaustion
V_DP
Sampling variance of depersonalization
V_PA
Sampling variance of (lowered) personal accomplishment
C_EE_DP
Sampling covariance between EE and DP
C_EE_PA
Sampling covariance between EE and PA
C_DP_PA
Sampling covariance between DP and PA
Publication_type
Either Dissertation
or Journal
Percentage_females
Percentage of females in the study
Years_experience
Average years of experience
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
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)
## Remove error code
meta1 <- rerun(meta1)
summary(meta1)
## Extract the coefficients for the variance component of the random effects
coef1 <- coef(meta1, select="random")
## Convert it into a symmetric 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)
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