Job Satisfaction Scale for Tech Workers: Pivotal Trial

Abstract

The psychological health of humans is requisite for global peace, safety, inclusivity, and organizational effectiveness. The pervasive  nature of the Tech industry with deepening global digitalization makes the psychological health of Tech workers crucial for global peace  and development. However, the diagnostic or monitoring devices for these psychological health issues are usually adopted for use  without going the full-length trials as done with other health products like drugs and medical equipment. This study advocated for the  post-validation effectiveness trial of health-related psychometric scales and performed a pivotal trial on the Job Satisfaction Scale for Tech  Workers (JSST) alongside similar scales for Tech workers to establish their effectiveness as universal job satisfaction scales. A total of  585 Tech workers from different parts of the world took part in the self-report pivotal trial with a completion rate of 47.2%. Internal re- validation of JSST has been carried out based on the valid Tech workers’ self-report responses using the multivariate statistical analysis,  covariance-based structural equation modeling in particular. It has been shown empirically that JSST – a cross-cultural scale – is the most  effective universal job satisfaction scale for Tech workers. The study affirms the need for continuous re-validation of psychometric scales.