中华医学教育探索杂志
中華醫學教育探索雜誌
중화의학교육탐색잡지
Chinese Journal of Medical Education Research
2011年
7期
825-828
,共4页
影响因素%因子分析%Logistic回归
影響因素%因子分析%Logistic迴歸
영향인소%인자분석%Logistic회귀
Impact factors%Factor analysis%Logistic regression
目的探讨医学生基层就业意向的影响因素，为采取针对性的激励措施提供依据。方法 采用单纯随机抽样调查方法从广州医学院各年级学生中随机抽取1000名，对他们发放调查问卷。回收有效问卷946份。对数据进行因子分析，采用主成分分析法提取公因子，并进行方差最大化正交旋转，按照公因子在原始变量上的载荷从大到小进行排序，解释公因子。将提取的公因子作为自变量，以变量Y（是否愿意去基层就业）作为因变量，进行二分类Logistic回归分析，探讨医学生基层就业意向的影响因素。结果 影响医学生基层就业意向的主要因素从大到小排序为，基层发展空间，基层工作环境和待遇，父母对我的职业发展态度以及家庭经济状况。结论 以公因子作为探索医学生是否愿意去基层就业的影响因素，有效地解决了指标间的共线性问题，具体受影响因素的作用可以得到比较客观的反映。
目的探討醫學生基層就業意嚮的影響因素，為採取針對性的激勵措施提供依據。方法 採用單純隨機抽樣調查方法從廣州醫學院各年級學生中隨機抽取1000名，對他們髮放調查問捲。迴收有效問捲946份。對數據進行因子分析，採用主成分分析法提取公因子，併進行方差最大化正交鏇轉，按照公因子在原始變量上的載荷從大到小進行排序，解釋公因子。將提取的公因子作為自變量，以變量Y（是否願意去基層就業）作為因變量，進行二分類Logistic迴歸分析，探討醫學生基層就業意嚮的影響因素。結果 影響醫學生基層就業意嚮的主要因素從大到小排序為，基層髮展空間，基層工作環境和待遇，父母對我的職業髮展態度以及傢庭經濟狀況。結論 以公因子作為探索醫學生是否願意去基層就業的影響因素，有效地解決瞭指標間的共線性問題，具體受影響因素的作用可以得到比較客觀的反映。
목적탐토의학생기층취업의향적영향인소，위채취침대성적격려조시제공의거。방법 채용단순수궤추양조사방법종엄주의학원각년급학생중수궤추취1000명，대타문발방조사문권。회수유효문권946빈。대수거진행인자분석，채용주성분분석법제취공인자，병진행방차최대화정교선전，안조공인자재원시변량상적재하종대도소진행배서，해석공인자。장제취적공인자작위자변량，이변량Y（시부원의거기층취업）작위인변량，진행이분류Logistic회귀분석，탐토의학생기층취업의향적영향인소。결과 영향의학생기층취업의향적주요인소종대도소배서위，기층발전공간，기층공작배경화대우，부모대아적직업발전태도이급가정경제상황。결론 이공인자작위탐색의학생시부원의거기층취업적영향인소，유효지해결료지표간적공선성문제，구체수영향인소적작용가이득도비교객관적반영。
Objective To explore the impact factors of medical graduates being employed at grass roots. Analysis may contribute to the adjustment and improvement of control policy. Methods 1,000 students in Guangzhou Medical University were randomly sampled, and 946 valid questionnaires were being collected. Factor Analysis was adopted to extract component. Extraction method was Principal Component Analysis and rotated component. Components were used as independent variables in the Logistic Regression. The variable Y ( Willing to be employed at Grass Roots or not ) as the dependent variable. Adopted Logistic Regression analysis was made to explore impact factors of medical Graduates employed at Grass Roots. Results According to the Eigenvalues and Rotation Sums of Squared Loadings, 5 Components were extracted. The sorted descending is 'for grass-roots development', 'basic working conditions and benefits','the parent's attitude towards my career development' and 'family economic conditions'. Conclusion Impact factors can be reflected more objectively by using factor analysis elimination co-linearity in the original variables.
