The aim of this study is to validate a personalized implicit measure of job satisfaction by employing semantically relevant stimuli tailored to this construct. The research addresses the need for tools that can reliably assess implicit attitudes toward job satisfaction, complementing traditional explicit measures.
Participants perform a computerized Implicit Association Test (IAT), adapted to focus on job satisfaction. The task categorizes stimuli—related to participants’ work experience and paired with satisfaction/dissatisfaction valence.
The expected results will demonstrate the construct validity and reliability of the personalized IAT for job satisfaction. We will also examine correlations between implicit and explicit measures to explore their convergent validity.
This study is part of a larger project aimed at developing implicit tools tailored to organizational settings. Future research will investigate their application in diverse workplace environments and their potential to predict key organizational outcomes, such as employee performance and retention.