Open datasets · Harvard Dataverse
Replication Data for "Prompt-imposed structure: a methodological evaluation of LLM-generated survey data for theory-based modeling"
Published 2025-06-06 · Replication Data - Dataverse
Where it sits
left: what it builds on · right: what builds on it · pale: exampleContributed by Zhangwei Zheng
How studies reach it
No published study reaches it yet.
Disciplines it reaches
No study reaches it yet.
Solid: published studies. Light: examples.
Computed from the records on this site: what each study, template and specialist names as used, which study extends which, and who contributed what. 0 studies in total.
About this dataset
There are three files in total: (1) the original dataset, which includes both human-generated and AI-generated data across five rounds; (2) the prompt file, detailing the instructions used to generate AI data; and (3) the analysis protocol for conducting PLS-SEM using SmartPLS. Prepared for journal submission and peer review.
Collection: Replication Data - Dataverse
Use it in a run
Download the files into your project's data/ folder and start a template. The data stay on your machine; the published research records the DOI, so the authors are credited.
e2er run "<your research question>"Automatic download by DOI is planned.
Cite
@dataset{zhangwei2025,
title = {Replication Data for "Prompt-imposed structure: a methodological evaluation of LLM-generated survey data for theory-based modeling"},
author = {Zhangwei Zheng},
year = {2025},
publisher = {Harvard Dataverse},
doi = {10.7910/DVN/AWWRIM},
url = {https://doi.org/10.7910/DVN/AWWRIM}
} Research that uses it
No published research on E2ER uses this dataset yet.
Description
Data model- Discipline
- Social sciences
- Method family
- TheoreticalReplication
- Design
- not specified
- Research stage
- Data acquisition
- Contributors
- Zhangwei Zheng (Data curation)
- Usage
- not used in published research yet
- Source
- Harvard Dataverse · Replication Data - Dataverse
- Record
- dataset:dataverse/10-7910-dvn-awwrim · JSON
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