Preview build on GitHub Pages. The open registry will live at e2er.org.
Skip to content
Demonstrator · items marked Example are invented · what exists today
E2ER

Open datasets · Harvard Dataverse

Replication Data for "Prompt-imposed structure: a methodological evaluation of LLM-generated survey data for theory-based modeling"

By Zhangwei Zheng · as credited by the source

Published 2025-06-06 · Replication Data - Dataverse

Deposited on Harvard Dataverse doi:10.7910/DVN/AWWRIM licence: see repository 3 files
Open on Harvard Dataverse Use in a run Cite Suggest a correction

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

Solid tags are declared by the source or mapped from its terms; dashed tags are inferred by a published rule. Hover a tag for its provenance.