SE DTC Advanced Training 2014

现实世界眼神跟踪：眼神跟踪的能力可以准确地测量人们在现实社交场景中看向哪里，这使得它成为研究社会科学中许多研究问题的理想工具，例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方案。它还独一无二地根据研究问题的适宜性提供了几个系统之间的比较。学员将学习使用和分析安装在桌上的眼球追踪器用于观看真实生活场景的复杂数据，以及用于在实验室之外的社交场合互动的可穿戴眼球跟踪器。定量社会科学的多层次分析的应用：拟议的课程将主要侧重于定量社会科学研究中使用的层次聚类数据的多层次建模的应用。它将概述具有随机截距和随机斜率的线性多水平模型的理论和实际应用，这些模型用于嵌套或结构在两级(例如，学校内的个人)和三级(例如，学校内的班级中的个人)内的数据，以及两级重复测量设计(例如，具有n个观测值的个人)。这门课程将是讲座和实践部分的混合体，将为学生提供获得关于他们自己的数据的专家反馈的机会。面向社会科学家的基于代理的建模：基于代理的建模是一种相对年轻的方法，在学术界和应用研究中日益重要。这门课程将是培养真正的“计算社会科学家”的一步，即通过建模的眼睛观察社会世界的科学家，能够在不忽视社会世界的复杂性和特殊性的情况下，用计算方法处理社会研究问题。在一系列社会科学中，对基于主体的建模的需求日益增长，这就要求研究人员拥有用现实模型处理复杂问题的高级技能。本课程将提供社会科学模型的理论基础和实践技能，包括从头开始编写模型和在各自的研究主题内开发基于主体的模型。构建测量、量表开发和量表验证：适当的结构测量在行为科学和社会科学中具有极其重要的意义。一个构思不佳的量表可能会导致不准确的结果和推断。本课程将以非技术性、实践性的方式概述标尺的构建、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，包括经典的和当代的，指导测量量表的发展和评估。有关制定和评估措施的具体主题将详细介绍。社会科学脑电-核磁共振联合脑注册的方法和技术：社会脑：雷丁大学通过其综合神经科学和神经动力学中心(CINN)一直处于开发联合脑注册方法的前沿，与学术和商业合作伙伴共同开发和完善方法和技术。本课程将为研究生提供对分析方法的批判性概述，并提供EEG/ERP、功能磁共振和EEG/功能磁共振组合技术的高级实践培训。社会科学应用程序将内置到培训课程中，演示和培训部分将利用现有的社会神经科学数据，这些数据来自情绪调节、决策以及学习和记忆范例。他们将学习结合EEG/fMRI记录所涉及的实际问题，并在课程中掌握使用这些技术所需的能力。

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.