4,980 responses from 415 respondents to 12 items.
One of 3 tables from the same source; this one measures Gamification features in digital banking (rewards, levels, points). The others are listed under Related tables.
| Description | Perceptions of gamification features in digital-banking apps: rewards REW1-4, levels LEV1-4, points PNT1-4; 12 items (1-5); N = 415 Indonesian app users; no covariates. |
|---|---|
| Reference | Heryanda, O., Wafa, R., & Azhari, S. (2025). Research Questionnaire [digital banking gamification survey data]. Mendeley Data. https://doi.org/10.17632/mkd998xj9j |
| Licence | CC BY 4.0 |
| Source data | https://data.mendeley.com/datasets/mkd998xj9j |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Responses | 4,980 |
|---|---|
| Respondents | 415 |
| Items | 12 |
| Response categories | 5 |
| Responses per respondent | 12 |
| Responses per item | 415 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | General/non-specific |
| construct type | Opinion/attitude |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | ind |
| construct name | Gamification features in digital banking (rewards, levels, points) |
This codebook is reconstructed by the IRW from the IRW data standard. 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). | not traced |
item | IRW standard Item identifier. | not traced |
resp | IRW standard Response value. | not traced |
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("heryanda_2025_gamification_features")
# Python
pip install irw
import irw
df = irw.fetch("heryanda_2025_gamification_features")
@misc{https://doi.org/10.17632/mkd998xj9j,
doi = {10.17632/MKD998XJ9J},
url = {https://data.mendeley.com/datasets/mkd998xj9j},
author = {Heryanda, Oktavian and Wafa, Rachel and Azhari, Shofi},
keywords = {Banking},
title = {Research Questionnaire},
publisher = {Mendeley Data},
year = {2025}
}
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse_7 v1.1 |
| Redivis dataset DOI | 10.57761/7pd3-sh31 |
| Manifest pin for this IRW version | v1.0 |
| Metadata source | irw_meta v44.0 |