First-Year Student Adaptation Metrics in Kazakhstan Universities

Kazakhstan public universities collected data on first-year student adaptation under mass higher education conditions. The dataset includes validated measures of academic, social, and psychological adaptation, transversal skills, and an integral Adaptation Quotient (AQ). Author G. K. Baimuldinova published the data on figshare in April 2026.

Use Cases

• Analyze the relationship between cohort overcrowding and adaptation outcomes based on organizational characteristics mentioned in the description
• Model the moderating effect of language of instruction on adaptation patterns based on contextual moderators mentioned in the description
• Identify vulnerable student groups using heterogeneous adaptation profiles based on the Adaptation Quotient (AQ) monitoring tool
• Assess the compensatory role of transversal skills in navigating bureaucratic density based on transversal non-cognitive skills mentioned in the description

Strengths

• Dataset is based on validated instruments for assessing academic, social, and psychological adaptation
• Psychometric analyses demonstrated satisfactory reliability and factorial validity across measurement models
• Analytical strategy used cross-sample triangulation and multi-group modeling for stable pattern identification

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Data may reflect geographic bias inherent to figshare, being limited to Kazakhstan universities

Provenance

Source

figshare

Collection Method

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

Freshness

Last updated 2026-04-10 06:04:00; freshness should be verified

Geography

Kazakhstan