scoring_reg: Scoring the Skala zur Selbstregulation (REG) (engl....

In nrkoehler/qscorer: Procedures for Scoring Health-related Questionnaires

Description

The REG is a 10-item Likert-type measure of the ability of self-regulation. Items are rated on a scale of 1 (completely disagree) to 4 (completely agree). A total sum score ranging from 10 to 40 may be calculated.

Usage

scoring_reg(data, items = 1:10, keep = TRUE, nvalid = 8, digits = NULL)

Arguments

data	a data.frame containing the REG items orderd from 1 to 10
items	A character vector with the REG item names ordered from 1 to 10, or a numeric vector indicating the column numbers of the REG items in data.
keep	Logical, whether to keep the single items and whether to return variables containing the number of non-missing items on each scale for each respondent. The default is TRUE.
nvalid	A numeric value indicating the number of non-missing items required for score calculations. The default is 8.
digits	Integer of length one: value to round to. No rounding by default.

Details

• Number of items: 10

• Item range: 1 to 4

• Reverse items: none

• Score range: 10 to 40

• Cut-off-values: none

• Minimal clinically important difference: none

• Treatment of missing values: The summary score is calculated as long as at least 8 questions have been answered.

Value

The function returns 2 variables:

• nvalid.reg: Number of valid values (MAX=10)

• score.reg: Summary Score

References

• Link to Questionnaire (https://www.usucbs.com/uploads/5/1/3/4/51340265/wssq__weight_self_stigma_.docx)

• Schwarzer, Jerusalem 1999 (http://www.psyc.de/skalendoku.pdf)

Examples

## Not run: 
library(dplyr)
items.reg <- paste0("REG_", seq(1, 10, 1))
scoring_reg(mydata, items = items.reg)

## End(Not run)

nrkoehler/qscorer documentation built on April 5, 2020, 3:09 a.m.