Adjusted readmes to document preprocessed data.
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@@ -18,6 +18,8 @@ These files show which variables have been collected in each wave.
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incorrect variable names were fixed and double entries from subjects who did a
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wave two or more times were removed; see `cleaning.R` and below for more
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details
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* `04_preprocessed_data` contains the preprocessed data files with scales
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created from the items; see `database_api_reference.md` for a description of scales.
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## Files
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@@ -131,9 +133,10 @@ some cleaning.
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# Data preprocessing
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The final data preprocessing creates scales from the collected items. It was
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done in Python and the code for the preprocessing can be found in a separate
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done in Python, and the code for the preprocessing can be found in a separate
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code repository: https://gitea.iwm-tuebingen.de/HMC/preprocessing. The files
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with the final variables for each scale are then saved in the folder
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`03_data/04_preprocessed_data` as CSV files with file names
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`HMC_<wave>_preprocessed.csv`.
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`03_data/04_preprocessed_data`. Three versions are provided: csv, and excel
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versions per wave as well as an overall sqlite database containing all waves in
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one file. `database_api_reference.md` contains the documentation of the database.
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