34,312 responses from 602 respondents to 57 items.
One of 2 tables from the same source; this one measures Inventory of Personality Organization (IPO-57), French translation. The others are listed under Related tables.
| Description | Inventory of Personality Organization (IPO-57, French translation; primitive defenses PD1-16, identity diffusion ID1-21, reality testing RT1-20), 1-5, 602 French psychology students (Angers University) in two samples, 2021-2022; cov_study (1 first-year, 2 second-year), cov_age, cov_gender. |
|---|---|
| Reference | Rexand-Galais, F., & Pithon, L. (2024). Dataset assessing three samples of French university students to 5 personality tests: IPO, PDQ-4+, PANAS, AQ and HADS [Data set]. Mendeley Data, V4. https://doi.org/10.17632/tv6w6yyfy8.4 |
| Licence | CC BY 4.0 |
| Source data | https://data.mendeley.com/datasets/tv6w6yyfy8/4 |
| Responses | 34,312 |
|---|---|
| Respondents | 602 |
| Items | 57 |
| Response categories | 5 |
| Responses per respondent | 56.997 |
| Responses per item | 601.965 |
| Density | 1.000 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Educational, Targeted/specific |
| construct type | Personality |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | fre |
| construct name | Inventory of Personality Organization (IPO-57), French translation |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, rexand_galais_2022_ipo.py. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.
| Column | What it is | Source column |
|---|---|---|
| IRW standard columns | ||
id | IRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task). | made in the build script |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
| Respondent covariates | ||
cov_age | Covariate | Age |
cov_gender | Covariate | Gender |
cov_study | Covariate | made in the build script |
What item codes and covariate values stand for is in the source’s codebook, file_downloaded.
Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("rexand_galais_2022_ipo")
# Python
pip install irw
import irw
df = irw.fetch("rexand_galais_2022_ipo")
@misc{https://doi.org/10.17632/tv6w6yyfy8.4,
doi = {10.17632/TV6W6YYFY8.4},
url = {https://data.mendeley.com/datasets/tv6w6yyfy8/4},
author = {Rexand-Galais, Franck and Pithon, Lucas},
keywords = {Clinical Assessment},
title = {Dataset assessing three samples of French university students to 5 personality tests: IPO, PDQ-4+, PANAS, AQ and HADS.},
publisher = {Mendeley Data},
year = {2024}
}
| IRW version | v607 |
|---|---|
| Redivis dataset | item_response_warehouse_5 v10.0 |
| Redivis dataset DOI | 10.57761/45xf-md22 |
| Manifest pin for this IRW version | v9.0 |
| Metadata source | irw_meta v47.0 |