900 responses from 450 respondents to 2 items.
One of 6 tables from the same source; this one measures Reputation motivations (rep1-2). The others are listed under Related tables.
| Description | Reputation ('manner temperature') motivations on Karrot Market, 2 items, 1-7 agreement, 450 Seoul adults who bought secondhand goods on the Karrot Market app (online panel, 2022); cov_gender, cov_age_group, cov_income, cov_education, cov_other_dsp. |
|---|---|
| Reference | Kim, H., Kim, G., Lee, T., & Lee, J.-H. (2025). Unraveling participant motivation dynamics in local-centric secondhand digital sharing platforms. PLOS ONE. https://doi.org/10.1371/journal.pone.0337603 |
| DOI | 10.1371/journal.pone.0337603 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/HPJFSD |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Responses | 900 |
|---|---|
| Respondents | 450 |
| Items | 2 |
| Response categories | 7 |
| Responses per respondent | 2 |
| Responses per item | 450 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Internet-based, Targeted/specific |
| construct type | Opinion/attitude |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | kor |
| construct name | Reputation motivations (rep1-2) |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, kim_2025_karrot.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). | num |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
| Respondent covariates | ||
cov_age_group | Covariate | q3 |
cov_education | Covariate | q57 |
cov_gender | Covariate | q1 |
cov_income | Covariate | q8 |
cov_other_dsp | Covariate | q23 |
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("kim_2025_karrot_reput_motiv")
# Python
pip install irw
import irw
df = irw.fetch("kim_2025_karrot_reput_motiv")
@article{Kim_2025, title={Unraveling participant motivation dynamics in local-centric secondhand digital sharing platforms}, volume={20}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0337603}, DOI={10.1371/journal.pone.0337603}, number={12}, journal={PLOS One}, publisher={Public Library of Science (PLoS)}, author={Kim, Hana and Kim, Gyuhwan and Lee, Taehwa and Lee, Joohee}, editor={Dang, Simon}, year={2025}, month=Dec, pages={e0337603} }
| 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 |