make_scales: Create multiple scales by calculating item means and return...

In LukasWallrich/timesaveR: Functions to Accelerate (Academic) Data Analysis and Reporting

Create multiple scales by calculating item means and return descriptives

Description

This function creates multiple scales, returns descriptives and supports reverse-coding of items.

Usage

make_scales(
  data,
  items,
  reversed = FALSE,
  two_items_reliability = c("spearman_brown", "cronbachs_alpha", "r"),
  print_desc = FALSE,
  ...
)

Arguments

data	A dataframe
items	A named list of characters vectors. Names are the scale names, each vector contains the items for that scale (variables in data)
reversed	How should items be reverse-coded. Can be FALSE (no reverse-coding), TRUE (automatic reverse-coding of items negatively correlated with remainder), or a named list of characters vectors. Names are the scale names, each vector contains the items to be reverse-coded for that scale. If TRUE, the result must be checked carefully!
two_items_reliability	How should the reliability of two-item scales be reported? "spearman_brown" is the recommended default, but "cronbachs_alpha" and Pearson's "r" are also supported.
print_desc	Logical. Should descriptives for scales be printed?
...	Arguments passed on to make_scale print_hist Logical. Should histograms for items and resulting scale be printed?

Value

A list of two dataframes: scale values (scores) and descriptive statistics for each scale (descriptives)

LukasWallrich/timesaveR documentation built on Nov. 29, 2024, 4:47 a.m.