spearman_brown: Calculate Spearman-Brown reliability for two-item scale

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

Calculate Spearman-Brown reliability for two-item scale

Description

This function calculates the Spearman-Brown reliability for a two-item scale, which is the recommended measure for two-item scales (rather than Cronbach's alpha, which is used for longer scales.)

Usage

spearman_brown(data, items, name = "", SB_only = FALSE)

Arguments

data	A dataframe
items	Character vector of length 2, with names of the two items
name	Name of the scale, relevant only if data.frame is returned
SB_only	Logical, indicating whether to return only the reliability as a number or a dataframe that also includes the scale name and correlation.

Value

Either the Spearman-Brown coefficient as a single number, or a dataframe including the Pearson correlation coefficient and the scale name

Source

https://www.r-bloggers.com/five-ways-to-calculate-internal-consistency/

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