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碩士 === 東吳大學 === 經濟學系 === 97 === This text used Academic Year 92 university grade three female students’ the questionnaire data and the same female student after Academic Year 93 university graduate a year continues questionnaire data Chin Hua university higher education research center, hoping of th...

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Main Authors: MEI-HSUAN CHEN, 陳美璇
Other Authors: HUNG-LIN TAO
Format: Others
Language:zh-TW
Published: 2009
Online Access:http://ndltd.ncl.edu.tw/handle/83914455858284543117
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spelling ndltd-TW-097SCU053890472015-10-13T15:43:07Z http://ndltd.ncl.edu.tw/handle/83914455858284543117 none 身材對於女性大學畢業生就業與薪資的直接與間接影響 MEI-HSUAN CHEN 陳美璇 碩士 東吳大學 經濟學系 97 This text used Academic Year 92 university grade three female students’ the questionnaire data and the same female student after Academic Year 93 university graduate a year continues questionnaire data Chin Hua university higher education research center, hoping of the characteristic analysis of the sample structure to the sample data to observe female university graduate student by the way of the description covariance of early career planning or full-time work of the salary and its shape performance, self-confident or other factor characteristic each other of relation. But is been limited by describing covariance analysis can't carefully examine them each other of influence whether notable existence, consequently this text again through a little bit carefully calculate model enactment to identify. The self-confidence that compares the regression analysis of the probit model. That found ”body shape” especially for the female university student’ self-confident includes notable influence. When the height increase, it will promote a female university student to become confident.When the weight increase,it will promote a female university student to become confidentless. Immediately after this text examines “self-confident” and other factor by multinominal logit modelof the characteristic's influence toward the early career planning of the female university graduate student of ”body shape” to find weight hasing the notable influence. When weight increase, it will be notable to reduce the probability of getting a master degree, of the institute but will be notable to promote to work on the not-full-time work probability. If the female university student has self-confident to compare with confidentless people, it will notable reduce to face unemployed probability, in addition to see the “direct” influence, we can use the marginal effect of self-confience by body shape to see the “indirect” influence. In full-time model of the salary regression, this text with career planning regression analysis result be adjusted according to the multinominal logit model (sample selection model) . The text find height taller female university student, possess taller full-time of the salary level, weight heavier female university student the full-time salary level then will be notable to reduce, when the female university student has self-confidence will be notable to promote full-time salary level. In addition match the of the shape's limit influence toward whole self-confidence and can also beg to be from a material for early “indirect” influence. HUNG-LIN TAO 陶宏麟 2009 學位論文 ; thesis 82 zh-TW
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description 碩士 === 東吳大學 === 經濟學系 === 97 === This text used Academic Year 92 university grade three female students’ the questionnaire data and the same female student after Academic Year 93 university graduate a year continues questionnaire data Chin Hua university higher education research center, hoping of the characteristic analysis of the sample structure to the sample data to observe female university graduate student by the way of the description covariance of early career planning or full-time work of the salary and its shape performance, self-confident or other factor characteristic each other of relation. But is been limited by describing covariance analysis can't carefully examine them each other of influence whether notable existence, consequently this text again through a little bit carefully calculate model enactment to identify. The self-confidence that compares the regression analysis of the probit model. That found ”body shape” especially for the female university student’ self-confident includes notable influence. When the height increase, it will promote a female university student to become confident.When the weight increase,it will promote a female university student to become confidentless. Immediately after this text examines “self-confident” and other factor by multinominal logit modelof the characteristic's influence toward the early career planning of the female university graduate student of ”body shape” to find weight hasing the notable influence. When weight increase, it will be notable to reduce the probability of getting a master degree, of the institute but will be notable to promote to work on the not-full-time work probability. If the female university student has self-confident to compare with confidentless people, it will notable reduce to face unemployed probability, in addition to see the “direct” influence, we can use the marginal effect of self-confience by body shape to see the “indirect” influence. In full-time model of the salary regression, this text with career planning regression analysis result be adjusted according to the multinominal logit model (sample selection model) . The text find height taller female university student, possess taller full-time of the salary level, weight heavier female university student the full-time salary level then will be notable to reduce, when the female university student has self-confidence will be notable to promote full-time salary level. In addition match the of the shape's limit influence toward whole self-confidence and can also beg to be from a material for early “indirect” influence.
author2 HUNG-LIN TAO
author_facet HUNG-LIN TAO
MEI-HSUAN CHEN
陳美璇
author MEI-HSUAN CHEN
陳美璇
spellingShingle MEI-HSUAN CHEN
陳美璇
none
author_sort MEI-HSUAN CHEN
title none
title_short none
title_full none
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publishDate 2009
url http://ndltd.ncl.edu.tw/handle/83914455858284543117
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