Development of a model to predict sexist behaviors considering personal and situational variables
考虑个人和情境变量,开发预测性别歧视行为的模型
基本信息
- 批准号:189424770
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:德国
- 项目类别:Research Grants
- 财政年份:2010
- 资助国家:德国
- 起止时间:2009-12-31 至 2016-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The research project has been very successful, so far. We designed a model to predict sexist behavior, which fills a central gap in sexism research. First, we demonstrated that explicit (but not implicit) benevolent sexist attitudes can predict benevolent sexist behavior, whereas explicit (but not implicit) hostile sexist attitudes predict hostile sexist behavior. We also wanted to examine -double dissociation-. That is, we tested whether implicit attitudes predict spontaneous sexist behavior, whereas explicit attitudes predict deliberate sexist behavior. However, we did not find evidence for double dissociation in our studies. In the renewal proposal, we suggest to test this hypothesis using a new paradigm. Second, we found evidence that the expression of sexist behaviors is moderated by the situation variables target person, locations, passively experienced processes and interpersonal associates. We slightly modified the project due to important comments of the DFG-reviewers. As a third, additional focus, we added research on confronting sexist behaviors. Optimal ways of responding towards sexist behaviors were investigated in two studies. We demonstrated that women and men prefer non-aggressive forms of confrontation (in comparison to aggressive confrontation), however they prefer all forms of confrontation in comparison to the absence of any response (e.g., self-silencing to sexism). So far, two manuscripts of the project have been published; two additional manuscripts are under review (one is -preliminary accepted-, the other one invited for a revision). After a project duration of 24 months, important research questions have arisen that build on the prior work. Therefore we apply for a renewal of the project for further 24 months. The renewal proposal has three main objectives. First, we aim to examine the -double dissociation- hypothesis with an improved paradigm in two studies. Second, we aim to complete the research regarding the role of the situational context in predicting sexist behaviors. For this purpose, we plan to conduct a further study and to write a manuscript. Third, we plan to continue the research of optimal ways to respond to sexism and introduce a cross-cultural comparison. We are expecting that the results which we have found in Germany are not applicable to collectivistic cultures (e.g., the Asian context). Since the establishment of harmony in groups is crucial in collectivistic countries, we expect that the absence of a reaction (e.g., self-silencing to sexism) is preferred to all kinds of confrontation of sexist behavior. Our research could thereby show that culture plays an important role in the perception and confrontation of sexist behavior.
到目前为止,这个研究项目非常成功。我们设计了一个预测性别歧视行为的模型,填补了性别歧视研究的核心空白。首先,我们证明了外显(但不是内隐)善意的性别歧视态度可以预测善意的性别歧视行为,而外显(但不是内隐)敌意的性别歧视态度可以预测敌意的性别歧视行为。我们还想检查-双重解离-。也就是说,我们测试了内隐态度是否预测自发的性别歧视行为,而外显态度是否预测蓄意的性别歧视行为。然而,在我们的研究中没有发现双重解离的证据。在更新提案中,我们建议使用一个新的范式来检验这一假设。第二,性别歧视行为的表达受情境变量(目标人、地点、被动经历过程和人际交往)的调节。由于dfg审稿人的重要意见,我们对项目进行了轻微的修改。作为第三个额外的重点,我们增加了关于面对性别歧视行为的研究。两项研究调查了应对性别歧视行为的最佳方式。我们证明了女性和男性更喜欢非攻击性的对抗形式(与攻击性的对抗相比),然而,与没有任何回应(例如,对性别歧视的自我沉默)相比,他们更喜欢所有形式的对抗。到目前为止,已经发表了两篇项目手稿;另外两份手稿正在审查中(一份初步接受,另一份请修改)。在一个为期24个月的项目结束后,在之前工作的基础上出现了重要的研究问题。因此,我们申请将项目延期24个月。更新提案有三个主要目标。首先,我们的目的是在两项研究中以一种改进的范式来检验双重分离假说。第二,完成情境情境在性别歧视行为预测中的作用研究。为此,我们计划进行进一步的研究,并撰写一篇论文。第三,我们计划继续研究应对性别歧视的最佳方式,并引入跨文化比较。我们希望我们在德国发现的结果不适用于集体主义文化(例如,亚洲背景)。由于在集体主义国家中建立群体和谐是至关重要的,我们期望没有反应(例如,对性别歧视的自我沉默)比各种性别歧视行为的对抗更可取。因此,我们的研究可以表明,文化在感知和对抗性别歧视行为方面发挥着重要作用。
项目成果
期刊论文数量(5)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Collective action against sexism in Germany, Turkey, and Japan: The influence of self-construal and face concerns
- DOI:10.1177/1368430216683533
- 发表时间:2017-05-01
- 期刊:
- 影响因子:4.4
- 作者:Fischer, Freyja B.;Becker, Julia C.;Nayir, Dilek Zamantili
- 通讯作者:Nayir, Dilek Zamantili
Confronting and Reducing Sexism: A Call for Research on Intervention
- DOI:10.1111/josi.12081
- 发表时间:2014-12-01
- 期刊:
- 影响因子:3.9
- 作者:Becker, Julia C.;Zawadzki, Matthew J.;Shields, Stephanie A.
- 通讯作者:Shields, Stephanie A.
Explicit but not implicit sexist beliefs predict benevolent and hostile sexist behavior
明确而非隐含的性别歧视信念预示着善意和敌意的性别歧视行为
- DOI:10.1002/ejsp.2128
- 发表时间:2015
- 期刊:
- 影响因子:3.9
- 作者:De Oliveira Laux;Ksenofontov;Becker
- 通讯作者:Becker
Ways to Go: Men's and Women's Support for Aggressive and Nonaggressive Confrontation of Sexism as a Function of Gender Identification
- DOI:10.1111/josi.12085
- 发表时间:2014-12-01
- 期刊:
- 影响因子:3.9
- 作者:Becker, Julia C.;Barreto, Manuela
- 通讯作者:Barreto, Manuela
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Professorin Dr. Julia Christina Becker其他文献
Professorin Dr. Julia Christina Becker的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Professorin Dr. Julia Christina Becker', 18)}}的其他基金
Benefits and potential backlashes of allies engaging in solidarity-based collective action
盟友参与基于团结的集体行动的好处和潜在的强烈反对
- 批准号:
321116626 - 财政年份:2016
- 资助金额:
-- - 项目类别:
Research Grants
Psychological consequences of radical group action among deviants and members of the uninvolved mainstream: Disidentification and exclusion
离经叛道者和未参与其中的主流成员之间激进群体行动的心理后果:不认同和排斥
- 批准号:
201089191 - 财政年份:2011
- 资助金额:
-- - 项目类别:
Research Fellowships
相似国自然基金
基于术中实时影像的SAM(Segment anything model)开发AI指导房间隔穿刺位置决策的增强现实模型
- 批准号:
- 批准年份:2024
- 资助金额:0.0 万元
- 项目类别:省市级项目
运用3D打印和生物反应器构建仿生尿道模型探索Hippo-YAP信号通路调控尿道损伤修复的机制研究
- 批准号:82370684
- 批准年份:2023
- 资助金额:49.00 万元
- 项目类别:面上项目
基于影像代谢重塑可视化的延胡索酸水合酶缺陷型肾癌危险性分层模型的研究
- 批准号:82371912
- 批准年份:2023
- 资助金额:48.00 万元
- 项目类别:面上项目
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
- 批准号:
- 批准年份:2020
- 资助金额:40 万元
- 项目类别:
半参数空间自回归面板模型的有效估计与应用研究
- 批准号:71961011
- 批准年份:2019
- 资助金额:16.0 万元
- 项目类别:地区科学基金项目
高频数据波动率统计推断、预测与应用
- 批准号:71971118
- 批准年份:2019
- 资助金额:50.0 万元
- 项目类别:面上项目
人胆囊源CD63+细胞的干性特征与分化特性的研究
- 批准号:31970753
- 批准年份:2019
- 资助金额:52.0 万元
- 项目类别:面上项目
基于线性及非线性模型的高维金融时间序列建模:理论及应用
- 批准号:71771224
- 批准年份:2017
- 资助金额:49.0 万元
- 项目类别:面上项目
应用Agent-Based-Model研究围术期单剂量地塞米松对手术切口愈合的影响及机制
- 批准号:81771933
- 批准年份:2017
- 资助金额:50.0 万元
- 项目类别:面上项目
凯莱流形上的几何流
- 批准号:11771301
- 批准年份:2017
- 资助金额:48.0 万元
- 项目类别:面上项目
相似海外基金
An international repository of individual patient data to predict development of chronic post-surgical pain after knee replacement surgery
个人患者数据的国际存储库,用于预测膝关节置换手术后慢性术后疼痛的发展
- 批准号:
489302 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Operating Grants
Development and performance of a model combining a polygenic risk score and biopsychosocial measures to predict the transition of acute to chronic low back pain
结合多基因风险评分和生物心理社会测量的模型的开发和性能,以预测急性腰痛向慢性腰痛的转变
- 批准号:
478821 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Operating Grants
Development, multi-ancestry international validation, algorithmic audit, and prospective silent trial evaluation of PRISM - A globally accessible, patient-oriented artificial intelligence-based model to predict the presence of clinically significant prost
PRISM 的开发、多祖先国际验证、算法审核和前瞻性静默试验评估 - 一种全球可访问、面向患者的基于人工智能的模型,用于预测具有临床意义的前列腺的存在
- 批准号:
479908 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Operating Grants
Leveraging a novel health records platform to predict the development of cardiovascular disease following kidney transplantation
利用新型健康记录平台预测肾移植后心血管疾病的发展
- 批准号:
10679322 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Development of a deep learning model to predict diverse mitochondrial targeting signals in parasites
开发深度学习模型来预测寄生虫中不同的线粒体靶向信号
- 批准号:
23K16986 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Grant-in-Aid for Early-Career Scientists
Development of a preoperative MRI radiomics model to predict sentinel lymph node metastasis in patients with cN0 breast cancer
开发术前 MRI 放射组学模型来预测 cN0 乳腺癌患者前哨淋巴结转移
- 批准号:
23K14916 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Grant-in-Aid for Early-Career Scientists
Development of a landform evolution model to predict floods with debris flows due to climate change
开发地形演化模型来预测气候变化引起的洪水和泥石流
- 批准号:
22KK0239 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Fund for the Promotion of Joint International Research (Fostering Joint International Research (A))
Development of novel polysomnography-based digital biomarkers to predict Alzheimer’s disease and Parkinson’s disease in real world settings
开发基于多导睡眠图的新型数字生物标志物,以预测现实世界中的阿尔茨海默病和帕金森病
- 批准号:
10807908 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Development of a machine learning model to predict of delirium in cardiac surgery using preoperative data and EEG
开发机器学习模型,利用术前数据和脑电图预测心脏手术中的谵妄
- 批准号:
22K10839 - 财政年份:2022
- 资助金额:
-- - 项目类别:
Grant-in-Aid for Scientific Research (C)
Development of a numerical model to predict the quantum dot properties of flame-made carbon nanoparticles
开发数值模型来预测火焰制造的碳纳米粒子的量子点特性
- 批准号:
558007-2021 - 财政年份:2022
- 资助金额:
-- - 项目类别:
Postdoctoral Fellowships