การประยกุต์ใช้การวิเคราะห์การอยู่รอดในการศึกษาการพ้นสถานภาพการเป็นนักศึกษาของนักศึกษาระดับปริญญาตรี มหาวิทยาลัยเชียงใหม่

The purposes of this research were to apply survival analysis and logistic regression analysis in studying for 1) to study survival function, median survival time and hazard rate of maximum dropping out 2) to study student’s hazard function differences on faculties 3) to find the factors influencing...

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Bibliographic Details
Main Author: พีรฉัตร อินทชัยศร
Other Authors: ผู้ช่วยศาสตราจารย์ดร.มานัดถุ์ คากอง
Format: Theses and Dissertations
Language:other
Published: เชียงใหม่ : บัณฑิตวิทยาลัย มหาวิทยาลัยเชียงใหม่ 2020
Online Access:http://cmuir.cmu.ac.th/jspui/handle/6653943832/69622
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Institution: Chiang Mai University
Language: other
Description
Summary:The purposes of this research were to apply survival analysis and logistic regression analysis in studying for 1) to study survival function, median survival time and hazard rate of maximum dropping out 2) to study student’s hazard function differences on faculties 3) to find the factors influencing on the hazard rates using major, parental occupation, family income, GPAX of high school, GPAX before dropping out, academic years, school affiliation, university entrance system, entrance score and nationality as predictor 4) investigate influences of active factors: attitudes, classroom atmosphere, teacher attention, knowledge management, instructional media, flexibility, activities, relationship, time management and difficulty level on problematic undergraduate students dropouts. The population consisted of 44,579 undergraduate students in the academic years 2554–2559, Chiang Mai University. The research result indicated that in the academic year 2554–2559 group 1) the highest risk period of hazard is 0.0113 occurred in 78 intervals respectively. The median survival times of students were 90 intervals. 2) hazard function is always differences in faculties 3) The attribute predictors, affecting the hazard of students were major, GPAX before dropping out and entrance score. 4) Active factors influencing problematic undergraduate students’ dropouts were flexibility, time management, relationship and difficulty level.