Productivity Lecturer in the Era of the Industrial Revolution 4.0: Confirmatory Factor Analysis (CFA)
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Confirmatory Factor Analysis (CFA) is a technique for finding some indicator variables that form variables/constructs that are not directly measured based on existing theories or previous studies. The purpose of this study is to find out the indicators of the most dominant variance/construction affecting it. The results of the analysis will show variables forming indicators that can explain variables. The research method used is the technique of taking respondents through simple random sampling — the number of sample respondents used as many as 100 lecturers at the university. The IBM AMOS Program is used to analyze the Confirmatory Factor Analysis (CFA). Leadership, Organizational Culture (campus), and Work Productivity are variables in the study. The results of the Goodness of Fit test obtained all parameters showing excellent results, and the analysis can continue. The results showed that the most dominant indicators were effectiveness for productivity variables, motivational indicators for leadership variables, and professionalism indicators for organizational culture (campus) variables. There is still an indicator that has not fulfilled the requirements (loading factor worth <0.500) of each research variable, which indicates a tendency to shift value towards each variable.