First-Year Student Adaptation Survey Data from Kazakhstan Universities

Kazakhstan public universities provided data for a study on first-year student adaptation under mass higher education conditions. The dataset likely contains survey results assessing academic, social, and psychological adaptation, transversal skills, and an Adaptation Quotient (AQ). It was authored by G. K. Baimuldinova and last updated in April 2026.

Use Cases

• Analyze associations between organizational conditions (e.g., cohort overcrowding, bureaucratic density) and adaptation outcomes based on survey data.
• Model the role of transversal non-cognitive skills as compensatory resources in massified educational environments.
• Identify heterogeneous adaptation profiles and potentially vulnerable student groups using the Adaptation Quotient (AQ) metric.
• Conduct moderation analyses to examine how adaptation patterns vary by language of instruction, cultural background, and gender.

Strengths

• Psychometric analyses demonstrated satisfactory reliability and factorial validity across measurement models.
• The analytical strategy used cross-sample triangulation and multi-group modeling to identify stable patterns.
• The dataset is licensed under CC-BY-4.0, allowing for open reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is 18.6 KB, indicating a very small scale.

Provenance

Source

figshare

Collection Method

Survey data collected using validated instruments from several independent samples in public universities in Kazakhstan.

Freshness

Last updated 2026-04-10 06:03:58; freshness should be verified.

Geography

Kazakhstan