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This research aims to examine the following five variables: principal leadership, training, work environment, job satisfaction and teacher performance. Data analysis with parametric and non-parametric statistics using SEM-PLS (Structural Equation Modeling-Partial Least Square) Data analysis with parametric and non-parametric statistics. parametric research variables, calibration tests / pilot tests, validity and reliability, outer model and inner model analysis, as well as discussion of the results of hypothesis testing or path analysis. This research uses path analysis to test relationship patterns that reveal the influence of a variable or set of variables on other variables, both direct and indirect influences. The path coefficient calculation in this research was assisted by SmartPLS Ver 4.0 2022.
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