First-Year Student Adaptation Metrics in Kazakh Universities

Survey data from multiple samples in Kazakh public universities assesses academic, social, and psychological adaptation of first-year students under mass higher education conditions. The dataset includes validated measures of transversal skills and an integral Adaptation Quotient (AQ), collected by G. K. Baimuldinova and last updated in April 2026. Psychometric analyses confirmed reliability and factorial validity across measurement models.

Use Cases

• Modeling the impact of cohort overcrowding and bureaucratic density on adaptation outcomes based on described environmental factors
• Analyzing the moderating role of language of instruction and cultural background on adaptation patterns mentioned in the description
• Identifying vulnerable student groups using the described Adaptation Quotient (AQ) as a monitoring tool
• Investigating transversal non-cognitive skills as compensatory resources in massified educational environments as described

Strengths

• Data is based on validated instruments and demonstrated satisfactory reliability and factorial validity according to the description
• Analysis employed cross-sample triangulation and multi-group modeling for stable pattern identification
• Dataset has a clear license (CC-BY-4.0) and author attribution (G. K. Baimuldinova)

Limitations

• Row count and column-level documentation are unknown; field semantics must be inferred after download
• Dataset size is 16.2 KB, indicating a very limited scope
• Geographic coverage is limited to public universities in Kazakhstan

Provenance

Source

figshare

Collection Method

Empirical analysis drawing on several independent samples collected in public universities in Kazakhstan using validated instruments.

Freshness

Last updated 2026-04-10 06:03:57

Geography

Kazakhstan