bfiN_miss: 5 polytomous personality items

In pairwise: Rasch Model Parameters by Pairwise Algorithm

5 polytomous personality items

Description

Data from 2800 subjects answering to 5 neuroticism items with 6 answer categories (0-5) of the bfi dataset originally included in the R-package {psych} with artificial missing data (see details).

Usage

  data(bfiN_miss)

Format

A "data.frame" containing 5 variables and 2800 obsevations.

Details

This dataset is the same like the dataset {bfiN} included in this package, exept for the amount of missing data, which were additional created in that way, having aprox. 15% missing for each of the 5 variables by random.

The other variables from the original bfi dataset were skipped and the categories are 'downcoded' to '0,1,2,3,4,5' to have a simple, ready to use example data frame. For further Information on the original dataset see R-package {psych}. The covariates like gender, education and age are in a seperate dataset cov_bfi

Source

https://cran.r-project.org/package=psych

References

Revelle, William (2015), psych: Procedures for Psychological, Psychometric, and Personality Research.R package version 1.5.1

Examples

data(bfiN_miss)
dim(bfiN_miss)
##############################################################
names(bfiN_miss) # show all variable names of data.frame bfiN_miss
range(bfiN_miss,na.rm=TRUE) # checking the valid response range
colSums(is.na(bfiN_miss))/dim(bfiN_miss)[1] # percentage of missing per variable

pairwise documentation built on April 18, 2023, 1:10 a.m.