122,373 responses from 1,361 respondents to 90 items.
One of 2 tables from the same source; this one measures Symptom Checklist-90-R (SCL-90-R). The others are listed under Related tables.
| Description | Symptom Checklist-90-R (SCL-90-R, 90 items, 0-4), N=1361 patients with/without narcissistic or other personality disorder. |
|---|---|
| Reference | Bilotta E, Carcione A, Fera T, Moroni F, Nicolo G, Pedone R, Pellecchia G, Semerari A, Colle L (2018). Symptom severity and mindreading in narcissistic personality disorder. PLOS ONE 13(8):e0201216. |
| DOI | 10.1371/journal.pone.0201216 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0201216 |
| Responses | 122,373 |
|---|---|
| Respondents | 1,361 |
| Items | 90 |
| Response categories | 5 |
| Responses per respondent | 89.914 |
| Responses per item | 1359.700 |
| Density | 0.999 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Clinical |
| construct type | Affective/mental health |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | ita |
| construct name | Symptom Checklist-90-R (SCL-90-R) |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, bilotta_2018_mindreading.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). | CARD |
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_diagnosis_group | Covariate 0 = No PD · 1 = Other PD · 2 = Narcissistic PD | NOPD_OTHERPD_NPD |
cov_gender | Covariate 1 = M · 2 = F | GENDER |
Covariate value labels are the source’s own, as the IRW recorded them. What item codes and any unlabelled 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("bilotta_2018_scl90")
# Python
pip install irw
import irw
df = irw.fetch("bilotta_2018_scl90")
@article{Bilotta_2018, title={Symptom severity and mindreading in narcissistic personality disorder}, volume={13}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0201216}, DOI={10.1371/journal.pone.0201216}, number={8}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Bilotta, Elena and Carcione, Antonino and Fera, Teresa and Moroni, Fabio and Nicolò, Giuseppe and Pedone, Roberto and Pellecchia, Giovanni and Semerari, Antonio and Colle, Livia}, editor={Gnambs, Timo}, year={2018}, month=Aug, pages={e0201216} }
| IRW version | v566 |
|---|---|
| Redivis dataset | item_response_warehouse_3 v13.0 |
| Redivis dataset DOI | 10.57761/gpg7-sg87 |
| Manifest pin for this IRW version | v13.0 |
| Metadata source | irw_meta v43.0 |