51,183 responses from 1,551 respondents to 33 items.
One of 4 tables from the same source; this one measures Player Experience Inventory. The others are listed under Related tables.
| Description | Player Experience Inventory |
|---|---|
| Reference | Perrig, S. A. C., Scharowski, N., Brühlmann, F., von Felten, N., & Aeschbach, L. F. (2024, January 24). Independent Validation of the Player Experience Inventory. https://doi.org/10.17605/OSF.IO/8XUHR |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/8xuhr/ |
| Responses | 51,183 |
|---|---|
| Respondents | 1,551 |
| Items | 33 |
| Response categories | 7 |
| Responses per respondent | 33 |
| Responses per item | 1,551 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Internet-based |
| construct type | Affective/mental health, Cognitive/educational |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | ger, eng |
| construct name | Player Experience Inventory |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Player Experience Inventory |
|---|---|
| Mean words per item | 8.970 |
| Mean characters per item | 44.030 |
| Mean characters per response | 19.571 |
| Flesch-Kincaid grade level | 3.137 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, FIVPEI_Perrig_2023.R. 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). | ...1 |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
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:
# R (no account needed)
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("FIVPEI_Perrig_2023_PXI")
# Python (needs a free Redivis account)
pip install irw
import irw
df = irw.fetch("FIVPEI_Perrig_2023_PXI")
@article{https://doi.org/10.17605/osf.io/8xuhr,
doi = {10.17605/OSF.IO/8XUHR},
url = {https://osf.io/8xuhr/},
author = {Brühlmann, Florian and Aeschbach, Lena Fanya and Perrig, Sebastian A. C. and Scharowski, Nicolas and Von Felten, Nick},
title = {Independent Validation of the Player Experience Inventory},
publisher = {OSF},
year = {2023},
copyright = {Creative Commons Attribution 4.0 International}
}
| IRW version | v540 |
|---|---|
| Redivis dataset | item_response_warehouse v70.0 |
| Redivis dataset DOI | 10.57761/4qxs-pq87 |
| Manifest pin for this IRW version | v70.0 |
| Metadata source | irw_meta v37.0 |