Coded Longitudinal Data on UK Medical Student Final Exam Failure Experience

246.2 KB of anonymized, coded qualitative data from a longitudinal study examining the experience of failing medical school finals. The data, authored by Dominic Johnson, was gathered through interviews and codes experiences across three time points: just after failing, just before resitting, and when working as a doctor. The dataset was last updated on May 1, 2026.

Use Cases

• Analyzing emotional and professional impacts of academic failure based on coded interview themes.
• Studying longitudinal changes in student perspectives based on data collected at three distinct time points.
• Investigating the transition from student to doctor after a setback based on the 'working as a doctor' data phase.
• Comparing experiences of different student cohorts based on the color-coded time point and cohort distinctions.

Strengths

• Data covers three distinct longitudinal time points, providing a temporal perspective.
• Dataset is fully anonymized to protect participant identities.
• Includes data from both a longitudinal student cohort and a separate group of foundation year doctors.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The 246.2 KB size indicates a limited scope, likely a small qualitative sample.

Provenance

Source

figshare, author Dominic Johnson.

Collection Method

Gathered through interviews, coded, and stored in an Excel database.

Time Range

Covers experiences from just after failing an exam through to working as a doctor.

Freshness

Last updated 2026-05-01 08:15:17; freshness should be verified.

Geography

Data collected from a UK medical school.