Data from a manuscript titled "Adult-Learning Newborn Medicine Curriculum Improves Knowledge in a Low-Resource Neonatal Unit in Sierra Leone". It contains deidentified paired scores for Phase I and Phase II pre- and post-tests, per test and topic, along with raw and scored data from subjective assessments. The dataset was authored by Anne Hansen and is hosted on Harvard Dataverse, last updated on 2026-05-29.
Use Cases
- Analyzing knowledge improvement based on paired pre- and post-test scores mentioned in the description.
- Evaluating curriculum effectiveness across different test topics described in the data.
- Comparing subjective assessment scores with objective test results as referenced in the description.
- Studying educational interventions in low-resource neonatal units based on the dataset's geographic context.
Strengths
- Contains paired pre- and post-test scores for two distinct phases, allowing for longitudinal analysis.
- Includes both raw and scored data from subjective assessments, providing multiple measurement perspectives.
- Data is deidentified, which may support ethical research use.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- Harvard Dataverse
- Collection Method
- Likely collected from educational assessments in a neonatal unit.
- Freshness
- Last updated 2026-05-29 11:56:41; freshness should be verified.
- Geography
- Sierra Leone