<p>Discriminant validity – cross factors loading.</p>

371 respondents from three Polish universities participated in a CAWI survey investigating acceptance of AI-based tools for personal financial decisions. Tomasz Szopiński authored this pilot study, which tests a dedicated scale based on the Technology Acceptance Model (TAM). The data was last updated on March 19, 2026 and includes constructs like perceived ease of use, usefulness, attitudes, intentions, and actual use.

Use Cases

• Test structural equation models based on constructs like perceived ease of use (PEOU) and perceived usefulness (PU) mentioned in the description.
• Analyze the mediated relationship between PU and behavioral intentions (BI) through attitudes (ATT) as described in the findings.
• Validate survey instruments for measuring acceptance of AI tools in financial contexts based on the developed dedicated scale.
• Compare acceptance determinants across different user groups using the representative sample from three universities.

Strengths

• Data is from a representative sample of 371 respondents.
• Survey constructs are clearly defined, including PEOU, PU, ATT, BI, and AU.
• The dataset is openly licensed under CC-BY-4.0.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect geographic bias inherent to the sample from three Polish universities.

Provenance

Source

Tomasz Szopiński

Collection Method

CAWI survey research.

Freshness

Last updated 2026-03-19 17:23:59; freshness should be verified.

Geography

Poland (sample from three Polish universities).