18,234 responses from 802 respondents to 10 items.
| Description | PANAS negative affect items, 10 items, 1-5 scale, 3 waves, athletes prospective study |
|---|---|
| Reference | Stoyel H, Stride C, Shanmuganathan-Felton V, Serpell L. (2021) Understanding risk factors for disordered eating symptomatology in athletes: A prospective study. PLoS ONE. |
| DOI | 10.1371/journal.pone.0257577 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0257577.s001 |
| Responses | 18,234 |
|---|---|
| Respondents | 802 |
| Items | 10 |
| Response categories | 5 |
| Responses per respondent | 22.736 |
| Responses per item | 1823.400 |
| Density | 2.274 |
| Longitudinal | TRUE |
| age range | Adult (18+) |
|---|---|
| sample | Targeted/specific |
| construct type | Affective/mental health |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Positive and Negative Affect Schedule (PANAS) - negative affect |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Positive and Negative Affect Schedule (PANAS), Negative Affect items |
|---|---|
| Mean words per item | 1 |
| Mean characters per item | 7 |
| Mean characters per response | 8.400 |
| Flesch-Kincaid grade level | 10.760 |
iditemrespwave
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("stoyel_2021_neg_affect")
# Python
pip install irw
import irw
df = irw.fetch("stoyel_2021_neg_affect")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_4 v7.0 |
| Redivis dataset DOI | 10.57761/cpj5-vm97 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |