Chinese ATTARI-12: Attitudes Toward AI Among 920 University Students

A cross-sectional online survey of 920 undergraduate students was conducted to validate the Chinese version of the Attitudes toward Artificial Intelligence Scale (ATTARI-12). The dataset was used for exploratory and confirmatory factor analyses, supporting a two-factor structure with acceptable reliability (α = 0.79; ω = 0.82). The research was authored by Ping Li and last updated on 2026-05-15.

Use Cases

• Validate psychometric scales for AI attitudes based on survey responses.
• Compare attitudes toward AI across genders and academic disciplines.
• Assess the reliability and factor structure of translated psychological instruments.
• Benchmark general attitudes toward AI among undergraduate student populations.

Strengths

• Dataset includes responses from 920 undergraduate students.
• The validated scale demonstrates acceptable reliability (α = 0.79; ω = 0.82).
• The study tested measurement invariance across genders and academic disciplines.

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 small in scale at 160.4 KB.

Provenance

Source

figshare

Collection Method

Cross-sectional online survey using Brislin's translation procedure.

Freshness

Last updated 2026-05-15 05:41:09; freshness should be verified.

Geography

China