Restrucuture cleaned data folder for consistency with preprocessed data folder
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#' ---
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#' title: "Codebook for cleaned data"
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#' author: ""
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#' output: github_document
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#' ---
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#+ echo = FALSE
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options(knitr.kable.NA = '')
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dat <- openxlsx::read.xlsx("../HMC_codebook.xlsx")
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#' * `qualtricsname`: Original name as used in the Qualtrics survey, see
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#' [materials](../../02_material)
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#'
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#' * `varname`: Variable name used in the CSV files for each wave, see
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#' [03_cleaned_data](03_cleaned_data)
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#'
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#' * `scale`: (Possible) Name of a scale; indicates which items belong to the
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#' same scale
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#'
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#' * `coding`: How variable was coded, e.g., 1: Yes, 2: No, etc.
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#'
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#' * `inverse`: If item should be inversed before adding it to a scale
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#'
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#' * `info`: Additional information relevant for item, e.g., correct or open
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#' response
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#'
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#' * `reference`: Reference from which the scale was taken; "self" means items
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#' have been self-generated
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#'
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#' * `wave`: What wave item was included in
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#'
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#' * `description`: Text that was presented to participants for this item
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#+ echo = FALSE
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subset(dat, select = c(-wave1, -wave2, -wave3, -wave4, -wave5, -wave6)) |>
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knitr::kable()
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