Analyzing the Factor Structure and Sleep Quality of Pittsburgh Sleep Quality Index in Indian Information Technology Sector

Abstract

The Pittsburgh Sleep Quality Index (PSQI) has gained widespread acceptance as a useful tool to measure sleep quality. In order to formulate the diagnosis process, it is essential that we understand the factor structure inherent in the PSQI data. In this work, we seek to estimate such a structure with a focus on the Indian Information Technology (IT) workers. We have used Confirmatory Factor Analysis (CFA) and the Exploratory Factor Analysis (EFA) for this purpose. We have also used the Multi layer perceptron based method to see how we can classify the sleep quality of the sampled population. We have discovered that, contrary to the general perception, most Indian IT employees have sleep quality belonging to good and very good classes.