The data set includes 28 studies on 14 items measuring the Hospital Anxiety and Depression Scale (HADS) Reported by Norton et al. (2013).
The variables are:
A list of 28 studies of correlation matrices. The variables are 14 items (x1 to x14) measuring HADS.
A vector of sample sizes
A vector of the population of the data
A vector of classification into patients vs. non-patients based on population
Norton, S., Cosco, T., Doyle, F., Done, J., & Sacker, A. (2013). The Hospital Anxiety and Depression Scale: A meta confirmatory factor analysis. Journal of Psychosomatic Research, 74(1), 74-81.
Jak, S., & Cheung, M. W.-L. (2018). Addressing heterogeneity in meta-analytic structural equation modeling using subgroup analysis. Behavior Research Methods, 50, 1359-1373.
Loading required package: OpenMx To take full advantage of multiple cores, use: mxOption(NULL, 'Number of Threads', parallel::detectCores()) #now Sys.setenv(OMP_NUM_THREADS=parallel::detectCores()) #before library(OpenMx) "SLSQP" is set as the default optimizer in OpenMx. mxOption(NULL, "Gradient algorithm") is set at "central". mxOption(NULL, "Optimality tolerance") is set at "6.3e-14". mxOption(NULL, "Gradient iterations") is set at "2".
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