Differences of Attribution between Males and Females

李雙彤

Introduction

Much research has established that causal attributions differ cross culturally. A classic?finding?is that Americans are prone to make fundamental attribution errors， whereas Chinese， Indians and Koreans are more likely to attend to situations （Morris peng， shweder）

The proposed mechanism： implicit theories that is present in American vs. Chinese society. ?Because Americans are more independent， so they are more likely to see individuals as agents. While Chinese are more interdependent （markus & kitayama）， so they are more likely to see holistic influences on peoples behavior.

Given this， one related question is that how gender affects our understanding of the causes of male and females action. ?There is?significantly less?research on this subject. Indeed， the answer may exist， but it has not been analyzed. For instance， Morris and Pengs classic paper doesnt report the number of males and females surveyed in US and China or their likelihood to follow particular attribution patterns.

Hypothesize

·Men are more likely to establish internal attribution.

·Women are more likely to establish external attribution.

Method

In study 1， I have 200 participants from a summer school in Special A. Male and female were divided into two groups randomly. Then， I spread out two versions of questionnaires， which were totally the same except for whether male or female got a low score in school. The first?group of participants got the version that female got a low score in school. And the second group of participants got the version that male got a low score in school. Thus I can distinguish difference of attribution， including male explained males behavior， male explained females behavior， female explained males behavior， and female explained females behavior. These two questionnaires were both in Chinese version so that students in China could understand the authors meaning accurately.

Authors used a scenario to determine whether participants were internal locus of control or external locus of control through their score. For example， if a participant chose 6 points in bad luck and 1 point in unintelligence， the authors could tell that this participant has more external locus of control.

Summer School Sample

Subjects： We sampled 200 high school students in a summer school.

Materials： Two types of questionnaires that were totally the same except for whether male or female got a low score in school.

Two types

（A） Why LiJuan got such a low score？

Li Juan has achieved one of the lowest scores in the school on this exam. There are lots of reasons for why people do poorly in schools. Why do you think she has done so poorly？

（B） Why WangPeng got such a low score？

Wang Peng has achieved one of the lowest scores in the school on this exam. There are lots of rea-sons for why people do poorly in schools. Why do you think he has done so poorly？

Questions

Results

I looked at full set attribution items and performed factor analysis to reduce the items. I found 3 constructs emerged： internal malleable， internal stable， and external. I then created three new variables， internal malleable（intelligence and ability）; internal stable （work hard and use effort in the exam）; and external （four external factors including luck， unpredictably， exam is difficult，?and exam is challenging）.

I performed an ANOVA with 3 factors， respondent gender x target gender x language. We considered three dependent variables above： internal stable attribution， external stable attribution， and internal malleable.

1）. Internal attribution

I found no main effect of respondent gender， target gender， and language. I found 2 way interactions between respondent gender x language： males and females are more internal in English than Chinese （p<.05）. No other two way interactions were significant. I then found a marginal three-way interaction of respondent gender x target gender x language. There was an marginal internal trend. （p<.10）Females are more internal about males in English and more internal about females in Chinese. Males are more internal about male in English and more internal about female in Chinese.

2）. External attribution

I found following main effects external attribution：

a. Male attributors are more external（marginal p=.07）

b. Attribution in English is more external （p=0.7）. This is contrary to Morris & Peng.

Two way interaction：

respondent gender x language interaction： Males and females are more external in English. （p=.02） This is contrary to Morris & Peng.

No three way.

3）. Internal malleable.

No effects significant.

Discussion

We can see that Attribution in English is more external （p=0.7）. Why language， which should prime cultural accessibility， produced opposite effect？ Perhaps Chinese have stronger judgments and more confidence in Chinese language about norms about school work. Also， maybe Chinese have more pressure in their school life. ?So， Morris&Pengs general idea should be more specific to domain considered. Thinking for Chinese at least about school performance， Chinese increased internal attribution， judgment， and harshness.

Second， 3 ways interaction show that males are more internal attribution about females in Chinese. Maybe males have more prejudice and stereotype to women in Chinese， however， prejudice and stereotype maybe mitigate when participants answer questions in English. （Chart 1 & 2） Females are more internal attribution about females in Chinese， maybe because there are lots of comparison and competition between females. External attribution also has similar effect.

李雙彤

年齡：16

城市：沈陽

就讀學校：沈陽市第五中學

年級：高二

申請專業(yè)：心理學

在上俄亥俄州立大學Tanya Menon教授的心理學課程的時候，她帶著我們分析了很多商業(yè)案例，并且讓我們主動想出導致結(jié)果的原因。當我和教授討論的時候，Tanya覺得中國學生和美國學生的思考方向有很大不同，中國學生第一個想到的是外在因素，而美國學生首先想到的是內(nèi)在因素。在此基礎上，我對男性和女性之間存在的不同歸因方式并且在英語和漢語的不同語言下這種方式是否被強化或者弱化很感興趣。通過這次研究，我學到了完成一個研究的主要流程和方法，了解了下一次再做研究的時候應該選用規(guī)模更大，年齡更廣的群體。同時，在調(diào)查的時候非常鍛煉我的交流能力。最重要的是讓我明確了本科的目標專業(yè)—Psychology！