Quantitative Social Sciences Core Modules
|Applied Social Sciences @ UoS||This `zero credit’ module is designed to support you as you progress though Year 1 of their Applied Social Sciences degree at the University of Sheffield. Following a planned programme of individual and group tutorials, it will offer you professional and peer support as you experience the University of Sheffield for the first time, as well as providing you with the individual guidance necessary to ensure you navigate the programme to your own specific needs and interests. In doing so, the module will help to create a solid foundation for distinct community of learning that will help to sustain you throughout the course of your degree at Sheffield.|
This module consists of three key elements. The first is principles of good graphic design, combined with how figures can be used to lie and mislead. The second is learning how to make a wide range of graphs, maps, and figures, for a wide range of different audiences, using the latest and most powerful software. The third is interpreting visual representations of data, whether from other sources or by your fellow students on the module, and using them to answer substantive research questions. Fundamentally, this is a hands-on module that allows you to make and understand data visualisations.
|Introductory Quantitative Data for Social Scientists||
This modules provides you with training in, and hands-on experience of, introductory quantitative data analysis techniques for social scientists. You are introduced to descriptive statistics, data distributions, commonly encountered mathematical functions, principles of hypothesis testing, principles of statistical inference, and methods for testing bivariate relationships. The course includes hands-on experience of some commonly used statistical methods.
|Introductory Research Project in Quantitative Social Science||This unit introduces you to the skills required for the effective design, execution and communication of a social science research project utilising quantitative methods. You will construct your own research project aimed at answering a particular problem in social science, will identify, obtain and analyse the data necessary to answer that question, and will present your findings both on a written project report and in a poster paper to be presented at a student conference.|
|Survey Design and Data Collection||Surveys are commonly used by government, business and international organisations to measure what people think, what they do or plan to do. Yet, bad survey design choices can bring misleading results and unreliable estimations. This module will improve your understanding of the art of asking survey questions and the science underpinning survey data collection. Specifically, you will learn how to design an effective questionnaire, draw a sample, organise your fieldwork and analyse the results you find. You will use online survey software to practice your skills.|
|Intermediate Research Project||This module gives you experience in conducting a social science research project employing quantitative methods, and provides training in the design and preparation of a viable independent quantitative social science research project. It discusses how to refine a research idea, how to decide on the appropriate choice of data and methods to analyse research questions, how to plan and conduct the research process to ensure the successful completion of a project (emphasising issues of ethics, timing and resourcing), and how to present research plans and results effectively.|
|Multivariate Data Analysis in Social Sciences||
The module is designed to provide you with a solid grounding in the proper application of multivariate data analysis methods, and an appreciation of your role in the study of contemporary society. This is achieved through a combination of lectures, practical classes and seminars which cover the underlying ideas, provide hands-on experience and give examples of the methods' application in the research and policy literature. The module covers methods including multivariate regression, logistic regression, and classification methods.
|Advanced Research Project in Quantitative Social Science||This module requires the you to prepare, organise, research and report a piece of original work on a social science topic. You will decide on the topic and will either be expected to collect original material in order to investigate it, or to perform secondary analysis on information drawn from existing source (and in both cases using quantitative methods to analyse the data). The finished product is presented in the style, and at the length, associated with academic journal articles.|
|Student Conference in Quantitative Social Science||
This module is focused on students preparing and presenting a body of work in various forms, and to various audiences. The aim of the unit is to develop your ability to disseminate the findings of your Year 3 dissertation/independent project to both specialist and non-specialist audience, and in a variety of written and verbal forms. This will culminate in a conference towards the end of the year.