The Library Divide: A Discriminant Analysis of User Behavior

Abstract

This study investigated the factors influencing library utility among 250 respondents, comprising 118 casual and 132 intensive library users. Employing discriminant analysis, the research identified Information specialists and Infrastructure as the most significant predictors distinguishing between casual and intensive library users. The main objective is to identify the most significant predictors of library utility among respondents, distinguishing between casual and intensive library users, and to inform library management and resource allocation decisions. The findings indicate that these factors play a crucial role in determining respondents' library utility, with Information specialists being the most important predictor. The results have implications for library management and resource allocation, suggesting that investments in staff training and physical infrastructure can enhance user experience and promote intensive library use. The study contributes to the understanding of library utility and informs strategies for improving library services.