Learning and Teaching activities (Further Info) Information for Visiting Students Pre-requisitesĪcademic year 2020/21, Available to all students (SV1) Students on "with QM" degree programmes should not select this course in year 2 Tutorial: preparation for timed assignmentĮntry Requirements (not applicable to Visiting Students) Pre-requisites Lecture: Extensions of tests learned, preparation for timed assignment You should, however, expect to be evaluated on it in your timed assignment. Stats Material: Logistic regression (UO): Please note: You are NOT required to use logistic regression in your research paper. Research Question: Which theory of voting explains individual vote choice? Tutorial: Multivariate regression in SPSS Research Question: Do attitudes to risk affect referendum preferences for constitutional change? Tutorial: Correlation and bivariate regression in SPSS Lecture: Correlation and bivariate regression (AH)
Research Question: What determines the popularity of government and their leaders? Lecture: Measures of association for ordinal and nominal data (AH): Chi square and various PRE measures Research Question: What are the determinants of voter turnout? Tutorial: Running t-tests and ANOVA in SPSS and interpretation of the results. Lecture: Comparing two means (UO): T-tests and ANOVA Research Question: Does democracy cause peace? Tutorial: Data management, including recoding variables and computing new variables Lecture: The Logic of statistical inference (UO): Populations and samples, types of hypotheses, type I and type II errors, central limit theorem, law of large numbers Tutorial: Applications using the SPSS chart builder Lecture: Exploratory Data Analysis and Data Visualisation II (UO): Boxplots, bar-charts, scatterplot, matrix scatterplot Research Question: Are people living in more democratic countries happier? Tutorial: Introduction to SPSS, computing summary statistics and plotting histograms using SPSS. Lecture: Exploratory Data Analysis and Data Visualisation I (UO): Computing descriptive statistics (max, min, mean, median, range, standard deviation), histograms, Research Question: How do we define and measure democracy? Hour 2 will include a visit from a representative of the data library to discuss finding your own data Lecture: Understanding data and data quality (AH): Types of data, assessment data quality (validity and reliability), operationalisation, levels of measurement.
Lectures will be accompanied by weekly tutorials delivered in a computer lab. Throughout, both the strengths and weaknesses of different approaches will be addressed, as will issues such as validity, reliability and missing data. The course will show how using different types of data and different techniques provide different ways to answer the types of questions typically posed by empirical Politics and IR scholars. These techniques will be used to answer different aspects of the same research question. It will provide key skills in quantitative data analysis, including descriptive statistics, cross-tab/contingency tables, measures of association, correlation and regression.
#Political science data analysis programs how to
It will explore how to access relevant data and assess the appropriateness of data. The course will cover core substantive topics in Politics and international relations, typically exploring one major research question from Politics and one major research question from IR.
This Year 2 course will introduce students to political data analysis using domestic and international data. Undergraduate Course: Introduction to Political Data Analysis (PLIT08009) Course Outline SchoolĬollege of Arts, Humanities and Social Sciences
DRPS : Course Catalogue : School of Social and Political Science : Politics
0 kommentar(er)
