本研究旨在探討影響陸軍南部部隊在營常備兵轉服志願役因素。本研究採用問卷調查方式,以研究指自編之「在營常備兵轉服志願役因素」調查問卷為研究工具,以陸軍南部部隊之在營常備兵為母群體,採叢集抽樣,分別於臺南、高雄、屏東各抽取一陸軍部隊之2200梯至2209梯次在營常備兵為樣本,回收問卷430份,有效問卷415份,有效問卷占總發出問卷的96.5%,並以描述統計、t考驗、單因數變異數分析、雪費事後比較、羅吉斯迴歸分析及卡方考驗等統計方法進行資料處理,研究結果如下: 一. 個人及家庭因素影響在營常備兵轉服志願役意願屬於中下程度,且會因不同的教育程度、居住地點及年齡而有所差異。 二. 外在影響因素影響在營常備兵轉服志願役意願屬於中等程度,且會因不同的教育程度、居住地點及年齡而有所差異。 三. 個人及家庭因素、外在影響因素對在營常備兵轉服志願役意願有顯著預測力,其中在「滿足需求與學習經驗」、「薪資、現行福利制度」、「生涯發展」及「工作環境、任務及社會狀況」等分層面預測力高。 四. 在營常備兵轉服志願役意願會因不同教育程度、居住地點及年齡有所差異。
This research has the pupose of discussing factors caused active mandatory service members transfer to voluntary service in army southern troops. The rsesarch used questionnaire method as reasearching tool. The author creates “factors caused mandatory service members transfer to voluntary service” and uses army southern troops’ mandatory service members as the main body with group samples; these samples are from class 2200 to 2209 in camps at Tainan, Kaohsiung, and Pingtung. There are 430 questionnaires in total, and 415 are effective; the total percentage of effective questionnaires is 96.5%. The data is dealt with descriptive statistics, t-tset, One-way analysis of variance, Scheffe post hoc, Logistic regression analysis, and Chi-square test. The research results are as following: 1.Personal and family factors are middle to lower level factors to cause active mandatory service members transfer to voluntary service; furthermore, because of different education degrees, residential areas and ages will differ active mandatory service members’ decisions. 2.Outer factors are the middle level factors to cause active mandatory service transfer to voluntary service; furthermore, because of different education degrees, residential areas and ages will differ active mandatory service members’ decisions. 3.Personal, family and outer factors can predict active mandatory service members’ decisions conspicuously; moreover, “fulfill needs and learning experiences”, “salary and current welfare”, “lifetime career development” and “working environment, current missions, and social status” can predict active mandatory service members’ decision in high efficiency. 4.Active mandatory service member’s decision differs because of different education degrees, residential areas, and ages.