The Variable Response Model: Theory, Implementation, and Application

变量响应模型:理论、实现和应用

基本信息

项目摘要

The assessment of mental abilities is ubiquitous in everyday life and includes job interviews, driving exams, and university admission tests, to name just a few. Mental abilities can be estimated with the help of statistical models and the observable behavior in a test. Typically, these models are tailored to specific response formats such as multiple choice, true-false, or continuous responses. Conversely, the present project introduces the Variable Response model which flexibly accounts for various response formats within the same test. In contrast to many similar models, the Variable-Response model further accounts for situations where the correct responses to the test questions are unknown. This applies to witness testimony, for example. When several witnesses of a crime are interviewed, the correct responses represent the true details of the crime. The Variable Response model provides estimates of these details while accounting for inter-individual differences in the witnesses´ abilities to report about the crime. In the present research project, I first focus on theory and aim to adapt the Variable Response model to situations where multiple mental abilities contribute to the same test scores. The second goal of the project is to implement the model in software that allows practitioners to apply the model with as little training or prior knowledge as possible. Finally, the project applies the Variable Response model to witness testimony. Specifically, I aim to improve the quality of face composites by accounting for inter-individual differences in the witnesses´ ability to describe the perpetrator. Ultimately, the project may help to establish the Variable Response model as a standard forensic tool when several witnesses of the same crime are available. The Variable Response model could also aid educational testing where the mixing of response formats provides improved flexibility to practitioners. I further expect the present project to be of interest in Anthropology where similar but arguably less powerful methods have been used extensively.
对心理能力的评估在日常生活中无处不在,包括工作面试、驾驶考试和大学入学考试,仅举几例。心理能力可以借助统计模型和测试中可观察到的行为来估计。通常,这些模型针对特定的响应格式进行定制,例如多项选择、真假或连续响应。相反,本项目引入了可变响应模型,灵活地考虑了同一测试中的各种响应格式。与许多类似的模型相比,可变反应模型进一步解释了测试问题的正确答案未知的情况。例如,这适用于证人的证词。当几名犯罪证人接受采访时,正确的回答代表了犯罪的真实细节。可变反应模型提供了对这些细节的估计,同时考虑了证人报告犯罪能力的个体差异。在目前的研究项目中,我首先关注理论,旨在使可变反应模型适应多种心理能力导致相同测试成绩的情况。该项目的第二个目标是在软件中实现模型,允许从业者在尽可能少的训练或先验知识的情况下应用模型。最后,将变量响应模型应用于证人证言。具体来说,我的目标是通过考虑证人描述犯罪者能力的个体差异来提高面部合成的质量。最终,该项目可能有助于建立可变反应模型,使其成为同一罪行有多个证人在场时的标准法医工具。可变响应模型还可以帮助教育测试,其中混合响应格式为从业者提供了更好的灵活性。我进一步期望目前的项目能引起人类学的兴趣,在人类学中,类似但可能不那么强大的方法已被广泛使用。

项目成果

期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Consensus theory for multiple latent traits and consensus groups
多重潜在特征和共识群体的共识理论
Consensus theory for mixed response formats
混合响应格式的共识理论
{{ 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 }}

Dr. André Aßfalg其他文献

Dr. André Aßfalg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('Dr. André Aßfalg', 18)}}的其他基金

The revelation effect: A test of theories and the impact on witness and juror judgments
启示效应:理论检验及其对证人和陪审员判断的影响
  • 批准号:
    232646231
  • 财政年份:
    2012
  • 资助金额:
    --
  • 项目类别:
    Research Fellowships

相似国自然基金

生长素响应因子(Auxin Response Factors)在拟南芥雄配子发育中的功能研究
  • 批准号:
    31970520
  • 批准年份:
    2019
  • 资助金额:
    58.0 万元
  • 项目类别:
    面上项目
新型GhDRP1(Drought Response Protein1) 调控棉花应答干旱的分子网络解析及育种利用评价
  • 批准号:
    31871668
  • 批准年份:
    2018
  • 资助金额:
    60.0 万元
  • 项目类别:
    面上项目
秀丽隐杆线虫ASI神经元off-response的环路与分子机制
  • 批准号:
    31600856
  • 批准年份:
    2016
  • 资助金额:
    22.0 万元
  • 项目类别:
    青年科学基金项目

相似海外基金

Genome analysis-based prediction model development for response to stereotactic radiosurgery in benign brain tumors
基于基因组分析的预测模型开发,用于良性脑肿瘤立体定向放射外科治疗的反应
  • 批准号:
    23K08495
  • 财政年份:
    2023
  • 资助金额:
    --
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Characterising the inflammasome response in a zebrafish model of haemorrhagic stroke
出血性中风斑马鱼模型中炎症反应的表征
  • 批准号:
    2897416
  • 财政年份:
    2023
  • 资助金额:
    --
  • 项目类别:
    Studentship
Recurrent Circuit Model of Neural Response Dynamics in V1
V1 中神经反应动力学的循环电路模型
  • 批准号:
    10710967
  • 财政年份:
    2023
  • 资助金额:
    --
  • 项目类别:
Influence of viscous damping model on time-history response of elastic-plastic systems
粘性阻尼模型对弹塑性系统时程响应的影响
  • 批准号:
    23K04122
  • 财政年份:
    2023
  • 资助金额:
    --
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Stress tolerant annual killifish: a new model for the cellular stress response
耐压一年生鳉鱼:细胞应激反应的新模型
  • 批准号:
    10570347
  • 财政年份:
    2023
  • 资助金额:
    --
  • 项目类别:
Manipulating cholangiocarcinoma immune-phenotype in a patient derived precisioncut tumour model to improve immune checkpoint inhibition response.
在患者衍生的精确切割肿瘤模型中操纵胆管癌免疫表型,以改善免疫检查点抑制反应。
  • 批准号:
    2887636
  • 财政年份:
    2023
  • 资助金额:
    --
  • 项目类别:
    Studentship
Crisis response of family businesses through business model innovation: Comparison between Japan and Germany during COVID-19
家族企业通过商业模式创新应对危机:COVID-19期间日本和德国的比较
  • 批准号:
    23H00850
  • 财政年份:
    2023
  • 资助金额:
    --
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
Mathematical Model-Based Optimization of CRT Response in Ischemia
基于数学模型的缺血 CRT 反应优化
  • 批准号:
    10734486
  • 财政年份:
    2023
  • 资助金额:
    --
  • 项目类别:
Manipulating cholangiocarcinoma immune-phenotype in a patient derived precision-cut tumour model to improve immune checkpoint inhibition response.
在患者衍生的精确切割肿瘤模型中操纵胆管癌免疫表型,以改善免疫检查点抑制反应。
  • 批准号:
    NC/X001679/1
  • 财政年份:
    2023
  • 资助金额:
    --
  • 项目类别:
    Training Grant
Evaluation and prediction of track condition by commercial vehicular response considering material damage law and deterioration model
考虑材料损伤规律和劣化模型的商用车辆响应评估和预测轨道状况
  • 批准号:
    22K04281
  • 财政年份:
    2022
  • 资助金额:
    --
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了