<p>Descriptive statistics by student cohort.</p>

Administrative data for 8,300 undergraduate students across three entry cohorts at a South African public university, spanning the 2023–2024 academic periods. The dataset was created by Moeketsi Mosia and examines the effects of academic orientation and advising on retention and progression using Bayesian hierarchical multivariate modelling. It was last updated on March 17, 2026.

Use Cases

• Modeling the relationship between academic orientation performance and student retention based on administrative records.
• Analyzing the interactive effects of academic advising utilization and orientation performance on academic progression.
• Applying Bayesian hierarchical multivariate models to account for cohort-level variation in educational outcomes.
• Investigating associations between integrated first-year support interventions and student outcomes in widening access contexts.

Strengths

• Includes data for 8,300 undergraduate students, providing a substantial sample size.
• Covers three distinct student entry cohorts, allowing for analysis of cohort-level variation.
• Uses a documented Bayesian hierarchical multivariate modelling approach to capture correlations between outcomes.
• Released under a permissive CC-BY-4.0 license for reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The description states relationships are associative rather than causal.

Provenance

Source

Moeketsi Mosia via figshare.

Collection Method

Administrative data from a South African public university.

Time Range

2023–2024 academic periods.

Freshness

Last updated 2026-03-17 17:27:54; freshness should be verified.

Geography

South Africa (a specific public university).