Fix small things
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@@ -19,7 +19,8 @@ These files show which variables have been collected in each wave.
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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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created from the items; see `database_api_reference.md` for a description of
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scales.
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## Files
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@@ -58,7 +59,6 @@ actor. To capture more contemporary usage and obtain sufficient variation for
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research questions filtering for individuals that perceived AI as a social
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actor, we broadened recruitment in wave 4 to all wave-1 participants.
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## Download settings in Qualtrics
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The data were downloaded from Qualtrics as CSV files with the following
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@@ -136,7 +136,8 @@ 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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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`. Three versions are provided: csv, and excel
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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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one file. `database_api_reference.md` contains the documentation of the
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database.
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