Gender Differences of the Decisive Factor of Working Satisfaction
碩士 === 世新大學 === 經濟學研究所(含碩專班) === 99 === The purpose of this thesis is to approach the question: Is there Gender differences in the decisive factor of job satisfaction? which is abridged from Professor Peng Sen-ming’s research “The Taiwanese Higher Education Database-the 91’s academic year of univers...
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ndltd-TW-099SHU053890022016-04-24T04:22:49Z http://ndltd.ncl.edu.tw/handle/22070441621497945418 Gender Differences of the Decisive Factor of Working Satisfaction 工作滿意度決定因素之性別差異 Yi-wei Liu 劉怡薇 碩士 世新大學 經濟學研究所(含碩專班) 99 The purpose of this thesis is to approach the question: Is there Gender differences in the decisive factor of job satisfaction? which is abridged from Professor Peng Sen-ming’s research “The Taiwanese Higher Education Database-the 91’s academic year of university graduates questionnaire.” The software Stata 10 is used as the tool of statistic analysis. In addition, the Chi-square test is also used to check whether the variables are significant. The study used the binary logit model to investigate the odds ratio of the variables and chose two significant variables from them, as the variable of interaction with the sex, to understand the measure of correlation between them in technology-vocational college student’s job satisfaction after their graduation. The results found by Chi-squared test in this study: The level of significance is under 0.01 on such variables as appearance (including height and weight), monthly salary and part-time job etc., showing that these variables significantly influence job satisfaction. The level of significance is under 0.05 on such variables as national examination certificates, types of school, job properties and weekly working hours etc.. And there is no significant influence on job satisfaction in such variables as gender, school major course and working location. The result found by odds binary logit model: There is higher job satisfaction for those who are female, owned national examination certificates , graduates of scientific university and private technological institute, majors in field of commercial science, idiosyncratic appearance (including height and weight), serve public enterprise, monthly income above $36,301-57,800, working location in middle area, weekly working 0~29 hours, working for moonlighter, men and women and their monthly salary between $ 22,800-$36,300, men and women and their working location in other areas. There is lower job satisfaction for those who are men, without national examination certificates, graduates of public University of Science and Technology, majors in medical field, serve private organization and school , monthly income under $22,800, working location in northern area, weekly working more than 45~60 hours, have full-time job, men and women and their monthly salary between $ 36,301-$57,800 and above, men and women and their working location in northern area etc.. The result found by odds binary logit model statistics added interaction item: Women have higher job satisfaction than men for those who earn wages no matter under $22,800 or above $ 36,301-$57,800. The variables of different sex are significant for those whose monthly income is above $36,301-$57,800. In addition, working location will influence the level of men’s job satisfaction, these variables are also significant for those whose working location in other areas. none 田弘華 2011 學位論文 ; thesis 41 zh-TW |
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碩士 === 世新大學 === 經濟學研究所(含碩專班) === 99 === The purpose of this thesis is to approach the question: Is there Gender differences in the decisive factor of job satisfaction? which is abridged from Professor Peng Sen-ming’s research “The Taiwanese Higher Education Database-the 91’s academic year of university graduates questionnaire.” The software Stata 10 is used as the tool of statistic analysis. In addition, the Chi-square test is also used to check whether the variables are significant. The study used the binary logit model to investigate the odds ratio of the variables and chose two significant variables from them, as the variable of interaction with the sex, to understand the measure of correlation between them in technology-vocational college student’s job satisfaction after their graduation.
The results found by Chi-squared test in this study: The level of significance is under 0.01 on such variables as appearance (including height and weight), monthly salary and part-time job etc., showing that these variables significantly influence job satisfaction. The level of significance is under 0.05 on such variables as national examination certificates, types of school, job properties and weekly working hours etc.. And there is no significant influence on job satisfaction in such variables as gender, school major course and working location.
The result found by odds binary logit model: There is higher job satisfaction for those who are female, owned national examination certificates , graduates of scientific university and private technological institute, majors in field of commercial science, idiosyncratic appearance (including height and weight), serve public enterprise, monthly income above $36,301-57,800, working location in middle area, weekly working 0~29 hours, working for moonlighter, men and women and their monthly salary between $ 22,800-$36,300, men and women and their working location in other areas. There is lower job satisfaction for those who are men, without national examination certificates, graduates of public University of Science and Technology, majors in medical field, serve private organization and school , monthly income under $22,800, working location in northern area, weekly working more than 45~60 hours, have full-time job, men and women and their monthly salary between $ 36,301-$57,800 and above, men and women and their working location in northern area etc..
The result found by odds binary logit model statistics added interaction item: Women have higher job satisfaction than men for those who earn wages no matter under $22,800 or above $ 36,301-$57,800. The variables of different sex are significant for those whose monthly income is above $36,301-$57,800. In addition, working location will influence the level of men’s job satisfaction, these variables are also significant for those whose working location in other areas.
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none Yi-wei Liu 劉怡薇 |
author |
Yi-wei Liu 劉怡薇 |
spellingShingle |
Yi-wei Liu 劉怡薇 Gender Differences of the Decisive Factor of Working Satisfaction |
author_sort |
Yi-wei Liu |
title |
Gender Differences of the Decisive Factor of Working Satisfaction |
title_short |
Gender Differences of the Decisive Factor of Working Satisfaction |
title_full |
Gender Differences of the Decisive Factor of Working Satisfaction |
title_fullStr |
Gender Differences of the Decisive Factor of Working Satisfaction |
title_full_unstemmed |
Gender Differences of the Decisive Factor of Working Satisfaction |
title_sort |
gender differences of the decisive factor of working satisfaction |
publishDate |
2011 |
url |
http://ndltd.ncl.edu.tw/handle/22070441621497945418 |
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