臺灣博碩士論文加值系統

有鑑於近年來的就業趨勢，許多甫畢業的大學生們會選擇應國家考試成為一名公務員，但雖有穩定收入來源，根據官方資料顯示公務員離職率仍逐年攀升，國內外有許多研究針對公務員離職原因作分析，但卻無一致的結果。因此，本研究為了解公務員離職原因，以後設分析整合人口學變項(性別、婚姻狀況、職務、教育程度及年齡)與公務員離職意圖關聯之結果，透過RStudio計算整合分析。研究結果發現，其中性別、職務與離職意圖上有顯著差異。

According to the trend of employment nowadays, many college graduates will choose to take the national examination to be public servants. However, under a such steady situation, voluntary quitting rate gets higher gradually through the statistics of Ministry of Civil Service and Directorate-General of Personnel Administration. There are many articles, including international and domestics researches, intended to determine the reason why public servants tend to quit voluntarily. To determine the reason why public servants quit, we integrated studies by meta-analysis in RStudio. The results showed that gender and position have significant effect on intention to quit.

INDEX
1.0 INTRODUCTION 1
2.0 LITERATURE REVIEW 4
2.1 Definition of the public servants in Taiwan 4
2.2 Civil servants intention to quit 4
2.3 Definition of meta-analysis 5
2.3 Conducting meta-analysis by R 8
3.0 RESEARCH METHODOLOGY 9
3.1 The hypotheses and structure of the study 9
3.2 Research Procedure 9
3.2.1 Collecting materials 9
3.2.2 Setting data in Excel and transforming value 10
3.2.3 Calculating results by RStudio 10
3.2.4 Publication bias 11
4.0 RESULTS 13
4.1 Gender 13
4.2 Marital Status 14
4.3 Position 15
4.4 Education 16
4.5 Age 18
5.0 DISCUSSION 20
5.1 Conclusion 20
5.2 Limitations 20
REFERENCES 22

LIST OF TABLES
Table1.1- The factor of turnover in public civil (differ from gender), in 2016 1
Table1.2- Personnel Turnover Status of All Civil Servants, by Yea r 2
Table 4.1.1 Analysis of gender and intention to quit 13
Table 4.1.2 Publication bias test in gender 13
Table 4.2.1 Analysis of marital status and intention to quit 14
Table 4.3.1 Analysis of position and intention to quit 15
Table 4.3.2 Publication bias test in position 15
Table 4.4.1 Analysis of education and intention to quit 16
Table 4.4.2 Publication bias test in education 17
Table 4.5.1 Analysis of age and intention to quit 18
Table 4.5.2 Publication bias test in age 18

LIST OF FIGURES
Figure 2.4.1 Funnel Plot (in gender) 8
Figure 3.1.1 Research structure of the study 9
Figure 4.1.1 Funnel plot in correlation coefficient and standard error in gender 14
Figure 4.3.1 Funnel plot in correlation coefficient and standard error in position 16
Figure 4.4.1 Funnel plot in correlation coefficient and standard error in age 17
Figure 4.4.1 Funnel plot in correlation coefficient and standard error in education 19

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