A Study on the Factors Influencing Clothing Purchase Intention

The dataset consists of responses from 601 Chinese consumers collected through an online questionnaire, aiming to investigate the key factors influencing clothing purchase intention. The survey includes demographic information (gender, age, education) and measures five main constructs using validated Likert-scale items: Innovation Attributes, Quality Attributes, Promotion Attributes, Perceived Value, and Purchase Intention. Each construct is assessed through multiple items adapted from established scales. The data can be used to analyze the linear and nonlinear relationships between these variables, supporting research on consumer behavior in the apparel sector using both PLS-SEM and Artificial Neural Network (ANN) methods.