852 responses from 123 respondents to 7 items.
One of 7 tables from the same source; this one measures PDQ-4 Avoidant Personality Disorder scale. The others are listed under Related tables.
| Description | PDQ-4 avoidant personality disorder items (7), 0 not true / 1 true; 123 undergraduates at a Western Canadian university (2015-16); cov_age_band, cov_gender (0 male, 1 female), cov_esl, cov_year, cov_grade, cov_term, cov_complete. |
|---|---|
| Reference | McLean, M. (2022). Personality, academic behaviour, and mental health variables from college student sample [Data set]. Harvard Dataverse. https://doi.org/10.7910/DVN/UTBOEQ |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/UTBOEQ |
| Responses | 852 |
|---|---|
| Respondents | 123 |
| Items | 7 |
| Response categories | 2 |
| Responses per respondent | 6.927 |
| Responses per item | 121.714 |
| Density | 0.990 |
| Longitudinal | FALSE |
| sample | Educational |
|---|---|
| construct type | Affective/mental health, Personality |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | PDQ-4 Avoidant Personality Disorder scale |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, mclean_2022_perfectionism.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_band | Covariate | age |
cov_complete | Covariate | complete |
cov_esl | Covariate | esl |
cov_gender | Covariate | gender |
cov_grade | Covariate | grade |
cov_term | Covariate | termT1 |
cov_year | Covariate | year |
What item codes and covariate values stand for is in the codebook released with the source data.
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("mclean_2022_avpd")
# Python
pip install irw
import irw
df = irw.fetch("mclean_2022_avpd")
@misc{https://doi.org/10.7910/dvn/utboeq,
doi = {10.7910/DVN/UTBOEQ},
url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/UTBOEQ},
author = {McLean, Michelle},
keywords = {Social Sciences},
title = {Personality, academic behaviour, and mental health variables from college student sample},
publisher = {Harvard Dataverse},
year = {2022}
}
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse_5 v8.5 |
| Redivis dataset DOI | 10.57761/41xy-5k56 |
| Manifest pin for this IRW version | v8.5 |
| Metadata source | irw_meta v44.0 |