University Student Internet Addiction and Well-Being Survey Data from Kazakhstan

Gulzhan Niyazova's dataset contains psychometric survey results from 416 university students in Kazakhstan, collected in 2026. It likely includes pre- and post-intervention scores from the Chen Internet Addiction Scale and Ryff Psychological Well-Being Scale. The data supports analysis of a six-week educational intervention aimed at reducing problematic internet use.

Use Cases

• Evaluate intervention effectiveness based on reported changes in CIAS and Ryff scale scores
• Analyze behavioral shifts in digital habits based on reported changes in passive scrolling and deliberate planning
• Model relationships between digital self-regulation strategies and psychological well-being based on the described framework

Strengths

• Data from 416 students provides a substantial sample size for analysis
• Includes pre- and post-intervention measurements for direct comparison
• Specific percentage changes in key metrics (e.g., 7.1% reduction in problematic internet use) are reported

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 the two universities sampled in Kazakhstan

Provenance

Source

Gulzhan Niyazova

Collection Method

Survey data collected via psychometric instruments from a convenience sample of students at two Kazakh universities.

Freshness

Last updated 2026-05-22 04:30:39; freshness should be verified

Geography

Kazakhstan (students from K. Zhubanov Aktobe Regional University and Khoja Akhmet Yassawi International Kazakh-Turkish University)