DETERMINING FACTORS OF SELF-CONFIDENCE IN A USING SOCIAL ENVIRONMENT PATH ANALYSIS

This research aims to analyze the social aspects of the direct and indirect causes of various factors that influence self-confidence, with a sample size of 100 respondents. Data analysis uses multiple linear regression analysis. Linkert scale method and analyzed using Structural Equation Models and Path Analysis. This method will examine cause and effect chronologically between variables, to examine direct and indirect effects as well as the dominance of a set of variables as cause and effect over other variables as effect variables. This research found that based on six scenario models proposed and tested with three different calibrations, namely (a) based on data, (b) based on gender (c) based on age range. The results obtained show that based on general data, for the first scenario, self-confidence is partly influenced by heredity (3.12%), self-confidence (2.81%), body weight (3.07%), and work (9, 77%), and for the second scenario the results obtained show that self-confidence is influenced by factors (4.12%), body weight (2.82%), and work (10.7%). Then the results based on gender data show that for women self-confidence is partially influenced by confidence factors (8.65%) and for men, it is influenced by weight factors (6.65%).  Article visualizations: