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# Derivatives | ||
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### Instructions | ||
Post-processed versions of the data are stored in this folder. Organize each post-processing step in a logical order and name subfolders accordingly (e.g., "2021-09-15_description-of-postprocessing-step"). | ||
### Explanation of files and their origin | ||
The file named ern_meta_data_for_r_2024-08-21.csv is the final data file used for the meta-analyses. It was constructed as follows: | ||
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Pre-processing should not be included in this repository; instead, pre-processing code and derivatives should be maintained in the `derivatives/preprocessed/` folder of an associated dataset repository. | ||
The file named AnxOverall_and_DERN.csv was downloaded from the Saunders & Inzlicht (2020) OSF site: https://osf.io/r7dvc/. This file contains the effect sizes that Saunders & Inzlicht (2020) previously extracted for their meta-analysis. | ||
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**Note:** This folder is explicitly untracked in this repo's .gitignore file because data files are too large to be stored on GitHub. | ||
To perform additional coding of the studies denoted in the AnxOverall_and_DERN.csv file, we converted the file to .xlsx and added additional columns for independent coding of various task parameters, reconciliation of codes, and for tracking and updating codes based on reaching out to authors. These full details are depicted in the file named | ||
parameter_coding_reconciliation_author-updates_and_final-codes_cleaned-copy.xlsx. Note that there is an additional version of this latter file, with more verbose notation, but the latter version was cleaned to produce the file named parameter_coding_reconciliation_author-updates_and_final-codes_cleaned-copy.xlsx. | ||
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### Project Notes | ||
A duplicate .xlsx version of the file named parameter_coding_reconciliation_author-updates_and_final-codes_cleaned-copy.xlsx was made and renamed as ern_meta_data_for_r_2024-08-21.xlsx. Within this duplicate file, columns unneeded for analyses were removed. Finally, an additional version of this file was saved in .csv format for the purpose of conducting meta-analyses in R. |