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Abstract

The purpose of the study was to investigate how demographic characteristics can predict adults' psychological adjustment.  Data was gathered using a cross-sectional research methodology.  The data for the 300 adult participants came from 300 individuals in Jhelum and Gujarat.  Convenient sampling, or a non-probability sampling strategy, was used to choose the sample.  Participants' ages were asked on the demographic sheet, while Naz, Bano, and Leghari's Scale of Adjustment for Adults was used to assess psychological adjustment. The results of neural network in the study showed that adult psychological adjustment was influenced by demographic factors because there was little disparities found between the relative errors of training and testing. If there was a smaller difference between the relative errors of training and testing it indicates a stronger predictive connection between the variables. The neural network model has also emphasized the importance of forecasting demographic factors for psychological adjustment in adults.   The findings showed that marital status was the most significant predictor of psychological adjustment, followed by education, birth order, father's education, rural–urban area and age.   Marital status had a stronger effect on psychological adjustment. It was determined that the most significant predictor of psychological adjustment was marital status.  Adults' psychological adjustment is influenced by a number of factors, including age, father's educational background, birth order, rural versus urban location, and subsequent education.
Keywords: Demographic Factors, Adult, Cross sectional study, Psychological Adjustment, Neural Network