Factor Analysis: Survey Data on OTT Video Platform User Experience

Survey data from 230 users on OTT video platform user experience, analyzed via PLS-SEM. The dataset includes 21 items measured on seven-point Likert scales. Authored by Ya-Qin You and last updated on 2026-05-29.

Use Cases

• Modeling user satisfaction pathways based on UX dimensions like convenience and emotional experience.
• Predicting usage intention for OTT platforms based on survey-measured functional value and satisfaction.
• Analyzing the mediating role of satisfaction between service quality and user intention.

Strengths

• Dataset includes 230 survey responses, providing a sample for analysis.
• Model fit statistics are reported, including an SRMR of 0.075 and R² values for key constructs.
• Analysis was conducted with 5,000 bootstrap resamples, suggesting a rigorous statistical approach.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 9.5 KB, indicating limited scope.

Provenance

Source

figshare

Collection Method

Survey data collection from users of OTT video platforms.

Freshness

Last updated 2026-05-29 17:34:59; freshness should be verified.