This CMGT 514 project analyzes a Kaggle pet adoption dataset to identify which factors most influence dog adoption rates. Using chi-square, ANOVA, and logistic regression in SPSS, the study found that medical readiness and friendliness significantly increase adoption likelihood, while size and house training have minimal effects. The project offers actionable insights for shelters—emphasizing the importance of showcasing friendliness, highlighting medical preparedness, and crafting positive storytelling to improve adoption outcomes.

SPSS Data Analysis on
Pet Adoption Dataset
This CMGT 540 project analyzes a Kaggle pet adoption dataset to identify which factors most influence dog adoption rates. Using chi-square, ANOVA, and logistic regression in SPSS, the study found that medical readiness and friendliness significantly increase adoption likelihood, while size and house training have minimal effects.
Done at USC, 2025
For Empower Parkinson Inc.
