An integrative framework for first-year student adaptation under mass higher education conditions, empirically substantiated with data from linguistically and culturally diverse public universities in Kazakhstan. The dataset likely contains validated instrument scores for academic, social, and psychological adaptation, transversal skills, and an integral Adaptation Quotient (AQ). Published by G. K. Baimuldinova on figshare in April 2026.
Use Cases
- Analyze the relationship between organizational constraints (e.g., cohort overcrowding, bureaucratic density) and adaptation outcomes based on the described framework.
- Model the moderating effects of language of instruction, cultural background, and gender on adaptation patterns based on the study's findings.
- Identify potentially vulnerable student groups using the Adaptation Quotient (AQ) as a monitoring tool described in the study.
- Investigate transversal non-cognitive skills as compensatory resources in navigating massified educational environments based on the empirical analysis.
Strengths
- The dataset is based on validated instruments assessing academic, social, and psychological adaptation.
- Psychometric analyses demonstrated satisfactory reliability and factorial validity across measurement models.
- The analytical strategy employed cross-sample triangulation and multi-group modeling for robust pattern identification.
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 27.1 KB, indicating a very limited scope.
Provenance
- Source
- figshare
- Collection Method
- Empirical analysis drawing on several independent samples collected in public universities in Kazakhstan.
- Freshness
- Last updated 2026-04-10 06:03:59; freshness should be verified.
- Geography
- Kazakhstan