Replication data from Harvard Dataverse supports a study on how generative AI influences language, access, routines, and geopolitics in academic knowledge production. The dataset includes a questionnaire and SmartPLS outputs, suggesting it contains survey responses and structural equation modeling results. Its cross-platform presence indicates it is intended for replication and secondary analysis.
Use Cases
- Replicating structural equation modeling (SEM) analysis on AI adoption factors (inferred from domain, verify after download)
- Analyzing survey responses on AI's role in academic routines and access (inferred from domain, verify after download)
- Studying the geopolitical dimensions of AI integration in higher education (inferred from domain, verify after download)
Strengths
- Includes replication materials (dataset, questionnaire, and SmartPLS outputs) for verification
- Hosted on a reputable academic platform (Harvard Dataverse), supporting findability and persistence
- Cross-platform presence signals importance for replication and secondary analysis
Limitations
- Metadata is minimal; actual content requires verification after download
- Key details like row count, file formats, column names, and license are not provided in the source metadata
- The dataset description is identical across platforms, offering no additional contextual information
Provenance
- Source
- ORTIZ-ROJO, RAMON via Harvard Dataverse
- Collection Method
- Likely gathered via survey and analyzed with SmartPLS software
- Freshness
- Last updated 2026-03-19 21:26:35