Application of Binary Logistic Regression Analysis Method with SPSS Statistics 22.0 in Predicting Factors Affecting the Long of Study

Abstract

Abstract. Binary logistic regression is a statistical method that analyzes the relationship between response or independent variables that have two or more categories with explanatory or dependent variables on a dichotomous scale (2 categories). Determination of the binary logistic regression model in addition to the usual calculation method can also use the help of IBM SPSS 22.0. The purpose of this study is to provide information on the stages in managing data related to the Binary Logistics Regression Model using IBM SPSS 22.0. In this study, the examples of cases that were analyzed were the factors that influenced the length of the study period. The response variables (independent) that affect the length of the study period in this study are academic ability, motivation, environment, lecturers, physical condition, mentality, interests, talents, learning methods, intelligence (IQ), and study time. The sample in this study used the sample clustering method, totaling 54 respondents, and came from lecturers, employees, and students at the Panca Budi Development University. The method used is a survey using a questionnaire. Based on the results of the analysis in this study, the variable with the category of intelligence (IQ) has a partial influence on the dependent variable for the length of the study period. Simultaneously the independent variable affects the dependent variable by 41.5% and the rest is influenced by other factors. The accuracy of calcification in predicting the relationship between the independent variable and the dependent variable was 79.6%.