1,201 questionnaire responses and 175 simulation session records from a study examining how students judge online information credibility. The mixed-methods research by Tara Cataldo captured real-time judgments from K-12 and higher education students using simulated search engine results pages. Data includes think-aloud transcripts, task decisions, and click data from participants across six educational stages.
Use Cases
- Analyze differences in credibility assessment strategies based on educational stage (elementary to graduate)
- Model the relationship between click behavior and final resource selection based on simulation task decisions
- Train classifiers to predict helpfulness judgments based on think-aloud protocol transcripts
Strengths
- Includes 175 detailed simulation sessions with recorded task decisions and think-aloud transcripts
- Covers six distinct educational stages with sample sizes ranging from 26 to 30 participants per stage
- Combines quantitative questionnaire data (1,201 responses) with qualitative interview data (175 responses)
Limitations
- Column-level documentation is absent; field semantics must be inferred after download
- Row count for the main data tables is unknown, which may limit suitability assessment
Provenance
- Source
- Cataldo, Tara via QDR Harvested Dataverse
- Collection Method
- Mixed-methods study using questionnaires, simulated Search Engine Results Pages (SERPs), and think-aloud protocols.
- Freshness
- Last updated 2025-10-20 19:59:15; freshness should be verified