Dataset of Determinants of luxury fashion purchase behavior

The current dataset is the results of a survey of 321 luxury fashion consumers to investigate the determinants of luxury fashion purchase behavior by using partial least squares structural equation modeling (PLS-SEM) and multi-group analysis (MGA). The current dataset includes PLS-SEM results and multi-group analysis results. The current dataset has five variables, namely: attitude, subjective norms, perceived behavioral control, purchase intention, and purchase behavior.