An R script for Structural Equation Modeling (SEM) analysis of the UK's Quarterly Labour Force Survey (Household) data, authored by Charles, Tendai and hosted on Harvard Dataverse. The dataset focuses on household worklessness, educational capital, and NEET (Not in Education, Employment, or Training) risk among young adults in the UK. It was last updated on 2026-04-14.
Use Cases
- Modeling the relationship between household worklessness and NEET risk using SEM techniques.
- Analyzing the influence of educational capital on youth labour market outcomes.
- Investigating demographic and household factors associated with young adults not in education, employment, or training.
Strengths
- Data is sourced from the UK's official Quarterly Labour Force Survey, a key statistical source.
- Includes an R script for Structural Equation Modeling, providing a methodological starting point.
- Focuses on a specific and policy-relevant topic: NEET risk among young adults.
Limitations
- Description metadata is limited; actual data quality requires manual inspection after download.
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count and file formats are unknown, which may limit suitability assessment.
Provenance
- Source
- Harvard Dataverse, authored by Charles, Tendai.
- Collection Method
- R script for analyzing the UK's Quarterly Labour Force Survey (Household).
- Time Range
- null
- Freshness
- Last updated 2026-04-14 01:41:04; freshness should be verified.
- Geography
- United Kingdom