These five factors are a useful example of using irt.fa to do Item Response Theory based latent factor analysis of the polychoric correlation matrix. The endorsement plots for each item, as well as the item information functions reveal that the items differ in their quality.

A collection of datasets originally distributed in R packages - vincentarelbundock/Rdatasets

This dataset includes 25 self-report personality items sourced from the International Personality Item Pool (ipip.ori.org) as part of the Synthetic Aperture Personality Assessment (SAPA) web-based personality assessment project.

On this R-data statistics page, you will find information about the bfi data set which pertains to 25 Personality items representing 5 factors. The bfi data set is found in the psych R package. You can load the bfi data set in R by issuing the following command at the console data("bfi") .

2024年5月29日 · These five factors are a useful example of using irt.fa to do Item Response Theory based latent factor analysis of the polychoric correlation matrix. The endorsement plots for each item, as well as the item information functions reveal that the items differ in their quality.

These five factors are a useful example of using irt.fa to do Item Response Theory based latent factor analysis of the polychoric correlation matrix. The endorsement plots for each item, as well as the item information functions reveal that the items differ in their quality.

Revelle W (2019). psych: Procedures for Psychological, Psychometric, and Personality Research. Northwestern University, Evanston, Illinois. R package version 1.9.12, https://CRAN.R-project.org/package=psych. This dataset and the corresponding documentation was taken from the psych package.

In this work, I analysed the BFI dataset present in the psych package of R. 25 personality assessment items from the International Personality Item Pool (lplp.orl.org) were collected.

2025年1月8日 · a small mock BFI dataset with realistic values, exported from formr. The dataset is self-documenting via its attributes. data. A data frame with 28 rows and 29 variables: © 2024 R CODER. All Rights Reserved.

BFI2 dataset (Hřebíčková et al., 2020) consists of responses of 1,733 respondents (1,003 females, 730 males) to Big Five Inventory 2 (BFI-2). It contains 60 ordinal items, vector of age, education, and vector of gender membership.