Psychological and academic performance data for female freshmen in a post-patriarchal society was compiled by Maura Pilotti in 2026. The records include standardized scores for anxiety (GAD-7) and self-efficacy (GASE) alongside high school and university GPA for an unspecified number of students.
Use Cases
- Predicting first-year GPA (fyGPA) using high school GPA (hsGPA) and age
- Evaluating the impact of anxiety (GAD-7) on academic self-efficacy (GASE)
- Classifying students into STEM or non-STEM majors based on psychological profiles
Strengths
- Includes standardized psychological scales (GAD-7, PRMQ, GASE)
- Provides binary classification for STEM vs non-STEM majors
- Links pre-university performance (hsGPA) with first-year university outcomes (fyGPA)
Limitations
- Geographic and gender bias as data is restricted to female students in a single country
- Reliance on self-report data for memory and anxiety measures
- Lack of explicit record count or sample size information
Provenance
- Source
- Maura Pilotti, Harvard Dataverse
- Collection Method
- surveyed
- Freshness
- Updated March 2026
- Geography
- Single country (unspecified) recently emerged from a strict patriarchal order