11,856 responses from 312 respondents to 38 items.
| Description | Virtual anime-themed heritage museum questionnaire, 38 items in 9 constructs (immersion, interaction, intelligence, aesthetics, entertainment, knowledge, emotional attachment, behavioural intention, self-achievement), 1-7; N = 312; cov_gender, cov_age_group, cov_education, cov_major. |
|---|---|
| Reference | Fang, W.-T. (2026). Replication Data for: Cultural Reproduction in the Digital Intelligence Era: The Impact of SCAA Qualia Experience Design for Digital Cultural Heritage on Behavioral Intention [Data set]. Harvard Dataverse, V1. https://doi.org/10.7910/DVN/LWQ2PF |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/LWQ2PF |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Responses | 11,856 |
|---|---|
| Respondents | 312 |
| Items | 38 |
| Response categories | 7 |
| Responses per respondent | 38 |
| Responses per item | 312 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | chi |
| construct name | Virtual heritage museum experience and behavioural intention |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Virtual anime-themed heritage museum (SCAA qualia experience) user questionnaire, 38 items |
|---|---|
| Mean words per item | 11.966 |
| Mean characters per item | 71.950 |
| Mean characters per response | 2 |
| Flesch-Kincaid grade level | 10.304 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, fang_2026_anime_museum.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). | made in the build script |
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 | Age |
cov_education | Covariate | Education |
cov_gender | Covariate | Gender |
cov_major | Covariate | Major |
What item codes and covariate values stand for is in the source’s codebook, 13378684.
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("fang_2026_anime_museum")
# Python
pip install irw
import irw
df = irw.fetch("fang_2026_anime_museum")
@misc{https://doi.org/10.7910/dvn/lwq2pf,
doi = {10.7910/DVN/LWQ2PF},
url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/LWQ2PF},
author = {Fang, Wen-Ting},
keywords = {Arts and Humanities},
title = {Replication Data for: Cultural Reproduction in the Digital Intelligence Era: The Impact of SCAA Qualia Experience Design for Digital Cultural Heritage on Behavioral Intention},
publisher = {Harvard Dataverse},
year = {2026}
}
| 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 |