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# Methodology of Contemporary Asian Studies

2018/2019
Учебный год
ENG
Обучение ведется на английском языке
6
Кредиты
Статус:
Курс обязательный
Когда читается:
1-й курс, 1-4 модуль

#### Преподаватели

Акопов Сергей Владимирович

Костенко Вероника Викторовна

Стребкова Ольга Николаевна

### Course Syllabus

#### Abstract

The course begins with the introduction to the basic principles of political inquiry. Then we consider the basic concepts of statistics and probability. We also discuss such topics as exploratory data analysis and data visualization, statistical hypothesis testing, linear and generalized linear regression models. R programming language is used as a primary tool for data processing and statistical computations. Students are assumed to be familiar with high school math program, have basic computer literacy and be willing to work hard to learn the essentials of data analysis.

#### Learning Objectives

• Provide a brief introduction to the methodology of political science research

#### Expected Learning Outcomes

• Able to speak the language of data fluently
• Able to understand by yourself and explain to others such words as ”variable”, ”distribution”, ”regression”, ”p-value”, etc.
• Able to design a quantitative political study
• Able to use R programming language for statistical computations
• Able to choose statistical methods appropriate to your substantive research problem

#### Course Contents

• Design Types, Data Types, and Data Summarization
• Basic Statistical Concepts
• Exploratory Data Analysis and Visualization
• Inference and Hypothesis Testing
• Simple Regression Methods
• Confounding and Effect Modification (Interaction)
• Multiple Regression Methods

#### Assessment Elements

• Homework (1-5)
5 home assignments (cumulative grade – 10% for each task), late assignments will be graded down (one point on a 1-10 scale per day of delay)
• Essay
Final project presentation (50%) Late assignments will be graded down (one point on a 1-10 scale per day of delay). If you plagiarize, you will fail. You may not recycle papers used in other classes.

#### Interim Assessment

• Interim assessment (2 module)
0.5 * Essay + 0.5 * Homework (1-5)
• Interim assessment (4 module)
0.25 * Essay + 0.25 * Homework (1-5) + 0.5 * Interim assessment (2 module)

#### Recommended Core Bibliography

• Wilcox R R. Understanding and Applying Basic Statistical Methods Using R / R R. Wilcox. - Hoboken, New Jersey: Wiley; 2016. eBook https://ebookcentral.proquest.com/lib/hselibraryebooks/detail.action?docID=4526801