make_scale: Creates a scale by calculating item mean and returns...

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

Creates a scale by calculating item mean and returns descriptives

Description

This function creates a scale by calculating the mean of a set of items, and prints and returns descriptives that allow to assess internal consistency and spread. It is primarily based on the psych::alpha function, with more parsimonious output and some added functionality.

Usage

make_scale(
  df,
  scale_items,
  scale_name,
  reverse = c("auto", "none", "spec"),
  reverse_items = NULL,
  two_items_reliability = c("spearman_brown", "cron_alpha", "r"),
  r_key = NULL,
  print_hist = TRUE,
  print_desc = TRUE,
  return_list = FALSE
)

Arguments

df	A dataframe
scale_items	Character vector with names of scale items (variables in df)
scale_name	Name of the scale
reverse	Should scale items be reverse coded? One of "auto" - items are reversed if that contributes to scale consistency, "none" - no items reversed, or "spec" - items specific in reverse_items are reversed.
reverse_items	Character vector with names of scale items to be reversed (must be subset of scale_items)
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.
r_key	(optional) Numeric. Set to the possible maximum value of the scale if the whole scale should be reversed, or to -1 to reverse the scale based on the observed maximum.
print_hist	Logical. Should histograms for items and resulting scale be printed?
print_desc	Logical. Should descriptives for scales be printed?
return_list	Logical. Should only scale values be returned, or descriptives as well?

Value

Depends on return_list argument. Either just the scale values, or a list of scale values and descriptives.

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