臺灣博碩士論文加值系統

本論文旨在探討「美貌對教授教學評鑑的影響」，資料庫來自Hamermesh & Parker(2005) 在Economics of Education Review中所發表，美貌因素對教授教學評鑑的影響一文。本文延用原文七個變數，美貌、性別、種族、學分、年級、母語、終生職等，另外加入教授年齡變數，觀察其對教學評鑑的影響。本研究採用變異數分析及多元迴歸模型，透過STATA統計軟體檢驗美貌及其他自變項對教學評鑑的影響，並加入年齡、性別、種族、母語與美貌的交乘項，觀察其對教學評鑑的影響，美貌對教學評鑑的成績是否會受影響。

由變異數分析確定美貌、年齡、性別、種族、學分、年級、母語、終生職等八個因子對教學評鑑都有影響。本文發現：美貌、性別、學分、母語等四個因子對教學評鑑成績的影響最為顯著。加入年齡、性別與美貌的交乘項，其對教學評鑑成績的影響是顯著的，而且美貌對教學評鑑成績亦呈現顯著的影響。教授年齡個別對教學評鑑成績的影響雖不顯著，但年齡透過美貌因子間接影響教學評鑑成績。根據過去的文獻記載美貌與年齡有密切的相關性，本研究將年齡、性別、種族、母語與美貌作交互作用迴歸分析，結果亦證實美貌深受年齡的影響。種族因子個別對教學評鑑成績的影響不顯著，但種族因子透過與美貌的互動關係，間接對教學評鑑成績產生影響。

The main purpose of this thesis is to discuss the research question：「Beauty Affect Instructors’ Teaching Ratings」，Database from Hamermesh & Parker (2005) Published in Economics of Education Review- Beauty in the classroom: instructors’ pulchritude and putative pedagogical productivity. In this paper the extension of the original seven variables，beauty, gender, minority, credits, division, native, tenure，the other to join professor age variables to observe its impact on teaching ratings，In this study，analysis of variance and multiple regression models through STATA statistical software inspection and beauty，and other variables on the teaching ratings. And join the interaction age, gender, minority, native, and beauty, to observe its impact on teaching evaluation，beauty，whether teaching evaluation results will be affected.

By analysis of variable to determine the beauty, gender, minority, credit, division, native, tenure and age of eight factors on teaching ratings has in impact..We find： beauty, gender, credit, native and the four factors most significant impact on the results of teaching evaluation，The interactive age，gender and beauty，its significant impact on the results of teaching evaluation. And beauty of teaching ratings results also a significant impact. Professor age of the individual teaching evaluating results，though
not significant，But the indirect effects of age through the beauty factor of teaching evaluation results. According to past literature，beauty and age are closely related to，In this study，age, gender, minority, native and beauty for interactive regression analysis results also confirmed the age of beauty deeply. Minority factor of individual teaching evaluation results are not significant，but the minority factor through interaction with the beauty，indirectly，on the teaching evaluation results have an impact.

謝誌.....................................................Ⅰ
摘要.....................................................Ⅱ
目錄.....................................................V
表目錄...................................................Ⅶ
圖次目錄.................................................Ⅷ
第一章 緒論...............................................1
第二章 文獻回顧 ..........................................4
第一節 美貌的研究議題................................5
第二節 美貌的衡量....................................11
第三節 美貌相關文獻的探討............................12
第三章 研究方法..........................................17
第一節 資料庫說明...................................17
第二節 變數定義說明及預期影響.......................18
第三節 迴歸模型.....................................23
第四章 實證結果..........................................32
第一節 基本統計量...................................32
第二節 資料的再探索.................................33
第三節 迴歸結果.....................................39
第五章 結論與建議................................... ....52
參考文獻............................................. ...56
附錄 ............................................. ......61

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葉玫君(2004)。肥胖與職業－肥胖女性是否較可能無業? 淡江大學產業經濟學系未出版之碩士論文。
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