學齡學生不就學原因：多項式邏輯斯迴歸分析

Reasons for Schooling Age Students Drop Out： Multinomial Logistic Analysis

吳怡靜(Yi-Ching Wu)

指導教授 ： 陳建良

國立暨南國際大學/管理學院/經濟學系/碩士(2018年)

摘要

本文試以學齡學生為研究對象，探討影響不就學之因素，透過多元邏輯斯迴歸模型進行實證研究，分析三日無故未到校、休學、轉學及放棄廢止學籍和其他的離校種類決定因素，與已在工作、離校離家、離校在家及其他離校情況等離校情況行為的影響因素。多元邏輯斯迴歸模型的實證結果發現，就學區、學校設立別、家庭狀況、學生身份別及離校原因等變數，於無故三日未到校、轉學、放棄廢止學籍及其他等離校種類與休學之比較上皆具有顯著影響；性別、學校設立別、學校級別、家庭狀況、學生身份別及離校原因等變數，對於已在工作、離校離家及其他離校情況等離校模式，與離校在家之比較上，皆具有顯著影響。

關鍵字

中途離校 ； 多項式邏輯斯迴歸分析

並列摘要

Focusing on school-age students, explore factors that may affect leaving school. By applying a multinomial Logit regression model, an empirical analysis was performed to analyze that the type of leaving school has not arrived at school for three days without reason, suspend school, transfer and give up or abolished of student status; the factors affecting the situation of leaving schools, such as being at work, leaving school and leaving home, leaving school at home and other the situation of leaving schools. The empirical results indicated that type of leaving school, School district, the establishment of the school, family situation, student identity and the reason of leaving school have significant influences on not arrived at school for three days without reason, transfer and give up or abolished of student status in comparison to suspend school. The empirical results indicated that status of leaving school, gender, the establishment of the school, school levels, family situation, student identity and the reason of leaving school have significant influences on decisions concerning work, leaving school and leaving home, and other the situation of leaving schools in comparison to leaving school at home.

並列關鍵字

Dropouts ； Multinomial Logistic Analysis

參考文獻

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