Survey of Taiwanese University Students on Pet Supplement Usage

A survey dataset of 41 Taiwanese medical university students regarding their consumption behavior for pet supplements and complementary/alternative veterinary medicine (CAM). The data was collected via an online questionnaire and analyzed with machine learning techniques, including a decision tree model. The dataset was authored by Ta-Chen Chen and last updated in June 2026.

Use Cases

• Training a decision tree model to segment pet supplement users based on owner satisfaction, belief, and understanding as described.
• Predicting usage motivations for specific pet health conditions like joint or digestive health using the described predictive models.
• Analyzing correlations between owner demographics, pet characteristics, and CAM usage patterns as outlined in the study methods.

Strengths

• Dataset includes results from a validated online questionnaire, as stated in the description.
• Predictive modeling for specific conditions reportedly achieved high accuracy (AUC > 0.93).
• Data is shared under a permissive CC-BY-4.0 license.

Limitations

• The sample size is explicitly limited to 41 respondents, which restricts statistical power.
• Column-level documentation is absent; field semantics must be inferred after download.
• The study is described as a pilot, suggesting findings are exploratory.

Provenance

Source

figshare, author Ta-Chen Chen

Collection Method

Cross-sectional survey conducted among Taiwanese medical university students using an online questionnaire.

Freshness

Last updated 2026-06-03 06:04:49

Geography

Taiwan