Logistic Regression and Path Analysis Method to Analyze Factors influencing Students' Achievement

2nd International Conference on Mathematics, Science, Education and Technology

数学;自然科学;教育

Noeryanti, N.^1 ; Suryowati, K.^1 ; Setyawan, Y.^1 ; Aulia, R.R.^1

Department of Statistics, Institut Sains and Teknologi, AKPRIND Yogyakarta, 55222, Indonesia^1

关键词: Academic achievements;    Binary logistic regression;    Internal and external factors;    Internal factors;    Logistic regressions;    Simple random sampling;    Society environment;    Students' interests;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/335/1/012044/pdf
DOI  :  10.1088/1757-899X/335/1/012044

来源: IOP

【 摘 要 】

Students' academic achievement cannot be separated from the influence of two factors namely internal and external factors. The first factors of the student (internal factors) consist of intelligence (X1), health (X2), interest (X3), and motivation of students (X4). The external factors consist of family environment (X5), school environment (X6), and society environment (X7). The objects of this research are eighth grade students of the school year 2016/2017 at SMPN 1 Jiwan Madiun sampled by using simple random sampling. Primary data are obtained by distributing questionnaires. The method used in this study is binary logistic regression analysis that aims to identify internal and external factors that affect student's achievement and how the trends of them. Path Analysis was used to determine the factors that influence directly, indirectly or totally on student's achievement. Based on the results of binary logistic regression, variables that affect student's achievement are interest and motivation. And based on the results obtained by path analysis, factors that have a direct impact on student's achievement are students' interest (59%) and students' motivation (27%). While the factors that have indirect influences on students' achievement, are family environment (97%) and school environment (37).