青少年打工活動之影響因素及影響相關層面研究：以北區五專生為例

Exploring the Motivations and Activities of Junior College Students’ Part-time Jobs

胡秀媛(Hsiu-Yuan Hu)；鄭光燦(Kaung-Tsan Cheng)；丘金蘭(Jin-Lan Chiu)

打工活動 ； 打工動機 ； 打工影響 ； part-time job activities ； part-time job motivations ； part-time job effects

育達科大學報

42期（2016 / 04 / 01）

41 - 62

繁體中文

本研究目的即在探討青少年打工活動之相關因子及其影響層面，研究方法採叢聚抽樣抽取北部地區五間專科學校共438名受試者，以「打工活動調查表」、「打工動機調查表」與「打工影響層面調查表」等量表為研究工具，經由描述統計、賀德林T檢定、相關分析、對數線性模式與迴歸分析等統計處理，本研究結果提供青少年家長、學校學務單位或實習單位管理上參考，主要發現如下：一、受試者曾經打工的比率為100.0%；初始打工年齡階段以專科階段為主（81.7％）；打工所得以五千元以下佔多數（37.7%）；打工時段以12-18點最多(63.9%)；多數受試者每週打工時數介於8-16小時(36.6%)；打工場所則以工廠佔多數(32.2%)。二、在打工動機上，多數五專學生主要動機為獲得工作經驗。至於在影響層面上，多數學生認為打工主要益處為「可學習到不同工作角色」(90.4%)；主要害處則為「睡眠不足」(55.7%)。三、不同性別之五專學生在打工動機、打工初始年齡階段與打工時段上具有顯著差異；打工動機與打工活動兩組變項並有顯著相關。四、不同打工活動與動機對於打工影響各層面之預測力有所不同。

The purpose of this research is to analyze the motivations and activities of junior college students’ part-time jobs and to investigate what statistically significant predictors of the working effects are. The sample consists of 438 students in middle Taiwan. And the data is analyzed by the descriptive statistics method, Hotelling T2, Relation, Log linear and Step-wise regression. The research result provide for management refer to parents, school administration and major findings are as follows: The percentage of students who used to work part-time is 100.0%. First working phase is on the junior college stage (81.7%). Majority of their monthly wages is below 5000 NTD (37.7%). Their working period is usually between 12-18 (63.9%). Many subjects' working hours are between 8-16 hours per week (36.6%). And many of their working places are in factory (32.2%). In terms of motivation of working part-time, what many subjects’ selection is ＂getting working experiences＂. As to the effects of working part-time, many subjects think that the main benefit is ＂able to experience different roles of working＂. (90.4%) The main weakness is ＂lack of sleep＂ (55.7%). Different of subjects’ gender has statistical difference on their motivation, first working phase, and time period of working part-time. Different working activities and motivations can predict the effects of working part-time statistically.

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