| 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.
Studya 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
YearYear of publication
EEEmotional exhaustion
DPDepersonalization
PA(Lowered) personal accomplishment
V_EESampling variance of emotional exhaustion
V_DPSampling variance of depersonalization
V_PASampling variance of (lowered) personal accomplishment
C_EE_DPSampling covariance between EE and DP
C_EE_PASampling covariance between EE and PA
C_DP_PASampling covariance between DP and PA
Publication_typeEither Dissertation or Journal
Percentage_femalesPercentage of females in the study
Years_experienceAverage 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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