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Магистратура 2018/2019

## Количественные методы в социальных исследованиях

Направление: 41.04.04. Политология
Когда читается: 1-й курс, 1, 2 модуль
Формат изучения: без онлайн-курса
Преподаватели: Артюхова Елена Васильевна, Пархоменко Сергей Анатольевич
Прогр. обучения: Политический анализ и публичная политика
Язык: английский
Кредиты: 6

### Course Syllabus

#### Abstract

Since understanding statistics is essential to understand research in the social and behavioral sciences, the course introduces to the students the notions of the basic statistical tools, how to calculate the basics of statistics and how to evaluate them. This is elementary course and students without strong mathematical knowledge will have no difficulties to follow it. #### Learning Objectives

• to teach students how to analyze data using quantitative methods #### Expected Learning Outcomes

• As a results, students should know types and particular properties of quantitative data
• As a results, students should know basic methods of descriptive and inferential statistics, probability theory, linear regression and correlation analysis
• As a results, students should be able to describe any data sets using a few numbers (descriptive statistics), and then reach statistically justifiable conclusions about those data sets
• As a results, students should be able to define and reconstruct the system of connections between different factors in the sphere of public policy and human rights
• As a results, students should be able to selects appropriate model / method of statistical analysis for a given problem and they should know linear regression and correlation analysis
• As a results, students should have a confidence in their ability to tackle basic applied statistics problems
• As a results, students should know the fundamental knowledge needed to learn more in-depth statistical theory #### Course Contents

• Data Collection
The first session consists of the Lecture and the Seminar. The Lecture will introduce the main concepts of quantitative methods in social research and lay out the course plan and requirements from student participation. During the Seminar we will find out different quantitative data collection methods and available data sources.
• Describing Data
This session consists of the Lecture and the Seminar. During the Lecture we will learn basic statistics for numerical variables. During the Seminar we will practice in calculating basic descriptive statistics in Excel.
• Probability concepts
This session consists of the Lecture and the Seminar. The Lecture will introduce basic concepts of the Probability theory. During the Seminar we will practice in probabilities calculating in Excel and R.
• Estimating Population Parameters
This session consists of the Lecture and the Seminar. During the Lecture we will learn types of sampling distributions and notions of estimating population parameters and hypothesis testing. During the Seminar we will practice in estimating population parameters and hypothesis testing in R and in analyzing variance in Excel.
• Linear Regression and Correlation
This session consists of the Lecture and the Seminar. During the lecture we will learn linear regression and correlation analysis. During the Seminar we will practice in correlation and regression analysis in Excel and R.
• Networks
This session consists of the Lecture and the Seminar. During the Lecture we will learn basic concepts of networks, networks visualization, and methods of network analysis. During the Seminar we will practice in network analysis and visualization in R.
• Clustering
This session consists of the Lecture and the Seminar. During the Lecture we will learn basic methods of clasterization. During the Seminar we will practice in clustering procedures in R. #### Assessment Elements

• Homeworks
• Quizzes
• Course Project #### Interim Assessment

• Interim assessment (2 module)
0.4 * Course Project + 0.4 * Homeworks + 0.2 * Quizzes #### Recommended Core Bibliography

• Newbold, P., Carlson, W. L., & Thorne, B. (2013). Statistics for Business and Economics: Global Edition (Vol. Eight edition). Boston, Massachusetts: Pearson Education. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1417883