First-Year Student Adaptation Scores in Kazakh Universities

An empirical dataset assesses academic, social, and psychological adaptation of first-year university students in Kazakhstan. The data includes scores for transversal skills and an Adaptation Quotient (AQ) from several independent samples collected in public universities. Psychometric analyses demonstrated satisfactory reliability and factorial validity across measurement models.

Use Cases

• Analyze the relationship between organizational constraints (e.g., cohort overcrowding) and adaptation outcomes based on the described framework.
• Model the moderating effects of language of instruction, cultural background, and gender on adaptation patterns.
• Validate the construct validity and practical relevance of the Adaptation Quotient as a monitoring tool.
• Identify heterogeneous adaptation profiles and potentially vulnerable student groups for targeted institutional support.

Strengths

• Data is based on validated instruments for assessing academic, social, and psychological adaptation.
• The study employs cross-sample triangulation and multi-group modeling for stable pattern identification.
• Dataset is licensed under CC-BY-4.0, facilitating open reuse.

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 and cultural bias inherent to the specific samples from Kazakhstan.

Provenance

Source

G. K. Baimuldinova via figshare.

Collection Method

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

Freshness

Last updated 2026-04-10 06:03:59; freshness should be verified.

Geography

Kazakhstan, specifically public universities with linguistically and culturally diverse student populations.