SE DTC Advanced Training 2014

SE DTC 高级培训 2014

• 批准号: ES/M00595X/1
• 负责人: Chris Fife-Schaw
• 金额: $ 3.87万
• 依托单位: University of Surrey
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2015
• 资助国家: 英国
• 起止时间: 2015 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=ES%2FM00595X%2F1
• 关键词: SE; DTC; Advanced; Training; 2014

Real World Eye Tracking: The power of eye tracking to measure exactly where people are looking in realistic social situations makes it an ideal tool for studying many research questions in social science, such as the link between product viewing and purchase, or which part of a conversation captures our attention. This course will provide advanced hands-on training and relevant problem solving. It is also unique in providing a comparison across several systems based on suitability to research questions. Participants will learn to use and analyse the complex data from desk mounted eye trackers for viewing real-life scenes and wearable eye trackers for interacting in social situations outside of the lab.Application of Multilevel Analysis for Quantitative Social Science: The proposed course will focus primarily on the applications of multilevel modelling for hierarchically clustered data used in quantitative social science research. It will provide an overview of the theoretical and practical applications of linear multilevel models with random intercept and random slopes for data that is nested or structured within two-levels (e.g. individuals within schools) and three-levels (e.g. individuals in classes within schools), and two-level repeated measures designs (e.g. individuals with n observations). The course will be a mixture of lectures and practical parts, and will provide students with the opportunity to get expert feedback on their own data. Agent-Based Modelling for the Social Scientist: Agent-based modelling is a relatively young methodology, increasingly important in academia and applied research. The course will be a step to producing genuine "computational social scientists", i.e. scientists who see the social world through modelling eyes, able to approach social research questions with computational methods without losing awareness of the complexities and particularities of the social world. The growing demand for agent-based modelling in a range of social sciences, demands researchers with an advanced skill set for tackling complex problems with realistic models. This course will provide the theoretical foundations as well as the practical skills for social science models, including programming a model from scratch and developing an agent based model within their own research topic.Construct Measurement, Scale Development & Scale Validation: Proper measurement of constructs is of utmost significance in the behavioural and social sciences. A poorly conceived scale can lead to inaccurate results and inferences. This course will present a non-technical, practical overview of the principles and practices involved in scale construction, modification, use, evaluation and interpretation. Students will be exposed to relevant theoretical approaches, both classical and contemporary, guiding the development and evaluation of measurement scales. Specific topics concerning the development and evaluation of measures will be covered in detail.Methods and Techniques for combined EEG-MRI Brain Registration for the Social Sciences: the Social Brain: The University of Reading through its Centre for Integrative Neuroscience and Neurodynamics (CINN) has been at the forefront of the development of combined brain registration methods working with academic and commercial partners in developing and refining methods and technologies. This course will provide post-graduate students with a critical survey of the analytic approaches and provide advanced hands-on training in EEG/ERP, fMRI and combined EEG/fMRI techniques. Social Science applications will be built in to the training sessions and demonstration and training components will draw on existing social neuroscience data from emotional regulation, decision making and learning and memory paradigms. They will learn about practical issues involved in combining EEG/fMRI recordings and, in the hands on course, will acquire the competencies needed for using the techniques.

真实世界眼动追踪：眼动追踪能够准确测量人们在现实社会情境中看向哪里，这使它成为研究社会科学中许多研究问题的理想工具，比如产品观看和购买之间的联系，或者对话的哪一部分吸引了我们的注意力。本课程将提供高级实践培训和相关问题解决。它的独特之处在于提供了基于对研究问题的适用性的几个系统之间的比较。参与者将学习使用和分析来自桌面眼动仪的复杂数据，用于观看真实场景，以及用于在实验室外的社交环境中互动的可穿戴眼动仪。多层次分析在定量社会科学中的应用：本课程将主要关注多层次建模在定量社会科学研究中对分层聚类数据的应用。它将概述具有随机截距和随机斜率的线性多层模型的理论和实际应用，这些模型适用于嵌套或结构在两层（例如学校内的个人）和三层（例如学校内班级中的个人）的数据，以及两层重复测量设计（例如具有n个观察值的个人）。该课程将是讲座和实践部分的结合，并将为学生提供机会获得专家对他们自己的数据的反馈。社会科学家基于主体的建模：基于主体的建模是一种相对年轻的方法，在学术界和应用研究中越来越重要。该课程将是培养真正的“计算社会科学家”的一步，即通过建模的眼睛看到社会世界的科学家，能够用计算方法处理社会研究问题，而不会失去对社会世界的复杂性和特殊性的认识。在一系列社会科学中，对基于主体的建模的需求不断增长，要求研究人员具备先进的技能，能够用现实模型解决复杂问题。本课程将提供社会科学模型的理论基础和实践技能，包括从头开始编程模型和在自己的研究主题中开发基于代理的模型。构念测量、量表开发和量表验证：构念的正确测量在行为科学和社会科学中具有极其重要的意义。一个考虑不周的量表会导致不准确的结果和推论。本课程将以非技术的、实用的方式概述尺度的构建、修改、使用、评估和解释所涉及的原则和实践。学生将接触到相关的理论方法，包括古典和现代，指导测量量表的发展和评估。将详细讨论有关制定和评价措施的具体问题。社会大脑：雷丁大学通过其综合神经科学和神经动力学中心（CINN）与学术和商业伙伴合作，在开发和完善方法和技术方面，一直处于脑联合注册方法开发的前沿。本课程将为研究生提供分析方法的批判性调查，并提供脑电图/ERP，功能磁共振成像和脑电图/功能磁共振成像联合技术的高级实践培训。社会科学应用将内置到培训课程中，演示和培训部分将利用来自情绪调节、决策、学习和记忆范式的现有社会神经科学数据。他们将学习结合脑电图/功能磁共振成像记录的实际问题，并在课程中掌握使用这些技术所需的能力。