STEM Participation: Predictive Models and SEM Analysis Scripts

This social science resource by Tendai Charles provides R scripts for Structural Equation Modeling (SEM) to analyze STEM participation. Updated in March 2026, it focuses on the comparison of predictive models used to identify factors influencing entry into STEM fields.

Use Cases

• Executing SEM analysis using the provided R scripts
• Comparing predictive models for STEM entry
• Methodological review of social science modeling techniques

Strengths

• Includes R scripts for Structural Equation Modeling (SEM)
• Focuses on STEM participation factors
• Published via Harvard Dataverse

Limitations

• Unknown record count and column definitions
• Primary focus on analysis scripts rather than raw data documentation
• No license information provided

Provenance

Source

Harvard Dataverse

Freshness

Last updated March 2026