sim.questionnaire: Simulate item-level questionnaire data with specified total...

In ccamp83/mu: R package for general statistical analysis of univariate and multivariate data

Simulate item-level questionnaire data with specified total score distribution

Description

Simulate item-level questionnaire data with specified total score distribution

Usage

sim.questionnaire(
  N = 100,
  n_items = 10,
  likert = 1:5,
  total_mean = 39,
  total_sd = 5,
  total_min = 10,
  total_max = 50
)

Arguments

N	Number of participants
n_items	Number of items in the questionnaire
likert	Vector of possible Likert scale values (e.g., 1:5)
total_mean	Mean of the desired total score distribution
total_sd	Standard deviation of the desired total score distribution
total_min	Minimum possible total score
total_max	Maximum possible total score

Value

Data frame with item-level responses and total scores

Examples

set.seed(123)
simdat <- sim.questionnaire(N = 100, n_items = 10, likert = 1:5, total_mean = 39, total_sd = 5, total_min = 10, total_max = 50)
summary(simdat$total)
head(simdat)

ccamp83/mu documentation built on July 4, 2025, 6:20 p.m.