“陽剛”還是“清秀”更具吸引力？--對男性面孔二態性不同偏好的元分析_

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題名：	“陽剛”還是“清秀”更具吸引力？--對男性面孔二態性不同偏好的元分析
書刊名：	心理科學進展
作者：	陳麗君／江潔／任志洪／袁宏
出版日期：	2017
卷期：	2017(4)
頁次：	553-569
主題關鍵詞：	性別二態性；男性化；女性化；面孔吸引力；元分析；Sexual dimorphism；Masculinity；Femininity；Facial attractiveness；Meta-analysis
原始連結：	連回原系統網址
相關次數：	被引用次數:期刊(0) 博士論文(0) 專書(0) 專書論文(0) 排除自我引用:0 共同引用:0 點閱:10

生活中,有的喜歡"清秀"的男性面孔,而有的則更偏愛長得"陽剛"的面孔,已有大量的研究致力于解釋這一分歧,但是得出的研究結果各不一致。本研究用元分析方法考察對男性面孔二態性的不同偏好,通過檢索、搜集了23篇有效文獻,56對數據滿足了元分析標準(n=8408)。結果發現,漏斗圖和Begg&Mazumdar秩相關檢驗、Egger’s檢驗結果顯示不存在發表偏差;主效應檢驗發現對男性面孔二態性無明顯偏好;調節效應檢驗表明,對男性面孔二態性偏好受面孔生成技術、生理周期的調節,但不受被試性別、關系背景和文化的調節。人們對男性面孔二態性的偏好,除了本身生物學特質(生理周期)外,還受到生成技術的影響。

以文找文

In our life,some people prefer more masculine faces while some favor feminine faces instead.A lot of research has been dedicated to explain this disagreement and obtained inconsistent results.A meta-analysis was conducted to explore difference preference for sexual dimorphism in male face shape,and the factors affecting this preference.Through literature retrieval,23 cases and 56 independent effect sizes together with 8408 participants which met the inclusion criteria of meta-analysis were selected.The result of funnel plot and Egger’s intercept illustrated that there was not publication bias.Main-effect test findings demonstrated that there was no significantly preference for masculinity or femininity(Odds ratio point estimate = 0.95).The moderator analysis revealed that menstrual cycle,computer graphics methodology moderated the preference,however,the culture background,participant’s gender,relationship context had no significant moderate effect.Therefore,we can draw a conclusion that people’s preferences for sexual dimorphism in male face shape is not only influenced by biological factors(Menstrual Cycle) of themselves,but also modulated by graphics methodology.

以文找文

期刊論文
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學位論文
1.	田芊(2012)。中國女性擇偶傾向研究--基於進化心理學的解釋(博士論文)。復旦大學，上海。延伸查詢
2.	鄭麗軍(2009)。男性化--女性化特徵對性別二態性面孔吸引性的影響研究(碩士論文)。西南大學，重慶。延伸查詢

圖書論文
1.	Borenstein, M.、Hedges, L.、Higgins, J. P. T.、Rothstein, H. R.(2009)。Comprehensive meta-analysis。Introduction to Meta-Analysis。John Wiley & Sons。

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