This dataset supports a descriptive and regression analysis of a nationally representative sample of U.S. public school STEM teachers from 1988 to 2012. It documents changes in demographic characteristics, qualifications, and turnover rates, including comparisons between high- and low-poverty schools.
Use Cases
- Analyze trends in teacher demographic characteristics such as gender representation over the 24-year period.
- Model the relationship between teacher qualifications, like holding a graduate degree or STEM qualification, and turnover rates.
- Compare teacher turnover rates between high-poverty and low-poverty schools to identify systemic disparities.
- Investigate correlations between attending a selective college and subsequent career outcomes for STEM teachers.
Strengths
- Nationally representative sample of U.S. public school STEM teachers.
- Covers a 24-year time period from 1988 to 2012.
- Includes analysis of differential outcomes between high- and low-poverty schools.
Limitations
- Specific row count, column names, and sample data are unavailable for review.
- Data is temporally stale, ending in 2012, and may not reflect current conditions.
- Potential limitations in granularity or available variables are unknown without column details.
Provenance
- Source
- ICPSR Harvested Dataverse
- Collection Method
- Nationally representative sample analysis; specific collection method unknown.
- Time Range
- 1988 to 2012
- Freshness
- null
- Geography
- United States (nationally representative)