# Guide to OSF Folder Now published at _Structural Equation Modeling_ https://doi.org/10.1080/10705511.2022.2142128 Free PDF: https://www.jamesuanhoro.com/post/2022/12/14/hierarchical-covariance-estimation-approach-to-meta-analytic-structural-equation-modeling/ There is now an R package that implements some of the methods in this paper: https://jamesuanhoro.github.io/minorbsem/. ## Install CmdStan Prior to using the scripts in their current form, you need to install [CmdStan](https://mc-stan.org/users/interfaces/cmdstan). If using RStan, one will need to modify the script ## SEM file descriptions ### R scripts - `ex_[study_name].R`: These are example data analysis R scripts - Example 1: `ex_digman97.R` - Example 2: `ex_cheung09.R` - Example 3: `ex_norton13.R` - `sbc_[study_name].R`: These are simulation-based calibration (SBC) R scripts - SBC Study 1: `sbc_digman97.R` - SBC Study 2: `sbc_norton13.R` ### Stan scripts - `meta_cfa_wb_marg_src.stan`: CFA Stan script - `meta_cfa_wb_marg_src_sbc.stan`: CFA Stan SBC script ## AERA 2023 Submission See `aera_2023` folder: - R script: `aera_2023/wish_ex_norton13_bayes.R` - Stan scripts: - Fixed-effects model: `aera_2023/mcfa_wish_sum.stan` - Random-effects model: `aera_2023/mcfa_wish_wb.stan` - Dependent-samples model: `aera_2023/mcfa_wish_dep.stan`