Adaptation of the Pornography Consumption Inventory Using theRasch Model: Implications for Mental Health, Infidelity Intention,And Religiosity

Abstract

The proliferation of personal devices and ubiquitous internet access has rendered pornography commonplace in daily life. This study presents an adaptation of an expanded Pornography Consumption Inventory (PCI), designed to measure pornography consumption and identify its impact on mental health and other correlated factors. The study highlights how consumption can affect the quality of interpersonal relationships (e.g., leading to infidelity intention) and conflict with personal aspects (e.g., religiosity). These interrelations underscore the need for a valid screening instrument to detect compulsive pornography use. The data analysis focused on the instrument's validity and reliability. For construct validity, the research applied two comprehensive, modern statistical techniques: Confirmatory Factor Analysis (CFA) and Rasch Modeling. Furthermore, reliability was assessed using Cronbach's alpha, and convergent validity was established against three external variables: religiosity, infidelity intention, and individual subjective well-being. The results of this adaptation are expected to provide valuable insights for mental health practitioners, researchers, and clinical psychologists. This instrument can aid in developing more effective interventions for individuals facing pornography-related mental health challenges. This study also recommends further research to better understand the complex relationship between pornography consumption and mental well-being, in order to refine prevention and recovery efforts.