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.

本数据集收录了通过线上问卷收集的601名中国消费者的调研反馈，旨在探究影响服装购买意向的核心影响因素。本次调研涵盖人口统计信息（性别、年龄、受教育程度），并采用经过信效度验证的李克特量表（Likert-scale）题项对五大核心构念进行测量：创新属性、质量属性、促销属性、感知价值与购买意向。各核心构念均通过改编自成熟量表的多道题项完成评估。本数据集可用于分析上述变量间的线性与非线性关系，支持采用偏最小二乘结构方程模型（PLS-SEM）与人工神经网络（Artificial Neural Network, ANN）方法开展服装领域消费者行为相关研究。