Survey of Female Researchers in Kazakhstan on Academic Readiness and Institutional Support

Saule Xembayeva's dataset contains survey responses from 117 female researchers aged 25–65 from four universities in Kazakhstan's Pavlodar region. Data was collected via a semi-structured questionnaire and diagnostic battery focusing on motivation, cognitive readiness, digital competence, self-efficacy, impostor syndrome, and reflective readiness. Statistical analysis was performed using SPSS 26.0, with results last updated on 2026-06-03.

Use Cases

• Analyzing associations between institutional support and psychological preparedness based on survey constructs.
• Investigating the prevalence of impostor syndrome symptoms among female academics.
• Modeling the relationship between digital competence and other readiness dimensions like self-efficacy.
• Comparing preparedness levels across different professional and personal factors mentioned in the study.

Strengths

• Dataset includes responses from 117 female researchers, providing a specific sample size.
• Survey covers multiple psychological and institutional dimensions, including self-efficacy, digital competence, and reflective readiness.
• Findings include specific percentages, such as 42% reporting high digital competence and 34% showing impostor syndrome symptoms.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data is from a regional and relatively small sample, described as exploratory rather than generalizable.

Provenance

Source

Saule Xembayeva via figshare

Collection Method

Cross-sectional survey using a semi-structured questionnaire and diagnostic battery.

Freshness

Last updated 2026-06-03 05:42:57; freshness should be verified.

Geography

Four universities in the Pavlodar region, Kazakhstan.