3,807 responses from 423 respondents to 9 items.
One of 6 tables from the same source; this one is the engagement table. The others are listed under Related tables.
| Description | Algorithm Awareness and User Motivation as Predictors of TikTok Engagement Among Generation Z in South Jakarta. IRW table khulwa_2025_engagement: 423 respondents x 9 items, 3807 responses. |
|---|---|
| Reference | Khulwa, C.; Luthfia, A.; Aras, M. (2025). Algorithm Awareness and User Motivation as Predictors of TikTok Engagement Among Generation Z in South Jakarta. Mendeley Data, V1. |
| Licence | CC BY 4.0 |
| Source data | https://data.mendeley.com/datasets/mhfkgs7z3c |
| Responses | 3,807 |
|---|---|
| Respondents | 423 |
| Items | 9 |
| Response categories | 5 |
| Responses per respondent | 9 |
| Responses per item | 423 |
| Density | 1 |
| Longitudinal | FALSE |
| measurement tool | Survey/questionnaire |
|---|---|
| primary language(s) | ind |
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:
# R (no account needed)
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("khulwa_2025_engagement")
# Python (needs a free Redivis account)
pip install irw
import irw
df = irw.fetch("khulwa_2025_engagement")
@misc{https://doi.org/10.17632/mhfkgs7z3c,
doi = {10.17632/MHFKGS7Z3C},
url = {https://data.mendeley.com/datasets/mhfkgs7z3c},
author = {Khulwa, Cinta Attaya and Luthfia, Amia and Aras, Muhammad},
keywords = {Communication},
title = {Algorithm Awareness and User Motivation as Predictors of TikTok Engagement Among Generation Z in South Jakarta},
publisher = {Mendeley Data},
year = {2025}
}
| IRW version | v540 |
|---|---|
| Redivis dataset | item_response_warehouse_5 v8.0 |
| Redivis dataset DOI | 10.57761/dkjz-6x68 |
| Manifest pin for this IRW version | v8.0 |
| Metadata source | irw_meta v37.0 |