make_mult_scales: Creates multiple scales by calculating item means and returns...

In LukasWallrich/rNuggets: Useful Helper Functions for (Academic) Data Analysis

Creates multiple scales by calculating item means and returns descriptives

Description

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

Usage

make_mult_scales(
  df,
  items,
  reversed = NULL,
  two_items_reliability = c("spearman_brown", "cronbachs_alpha", "r"),
  ...
)

Arguments

df	A dataframe
items	A named list of characters vectors. Names are the scale names, each vector contains the items for that scale (variables in df)
reversed	A named list of characters vectors. Names are the scale names, each vector contains the items to be reverse-coded for that scale
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.
...	Arguments passed on to make_scale print_hist Logical. Should histograms for items and resulting scale be printed? print_desc Logical. Should descriptives for scales be printed?

Value

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

LukasWallrich/rNuggets documentation built on Aug. 26, 2022, 11:03 a.m.