Количественные методы в социальных исследованиях

2026/2027

ID 1099686

Статус: Маго-лего

Кто читает: Департамент политологии и международных отношений

Где читается: Санкт-Петербургская школа социальных наук

Охват аудитории: для своего кампуса

Преподаватели: Барыкин Ярослав Андреевич

Язык: русский

Кредиты: 3

Контактные часы: 20

Дополнительные материалы в LMS Задать вопрос

Аннотация

The course is designed for the first-year MA "Comparative Politics of Eurasia" students introducing basic and more advanced concepts and methods of quantitative political science. It aims at familiarising the students with nuts and bolts of statistical analysis and its application to various research problems in political science. It covers a variety of identification strategies (from linear regression to time-series) with examples from existing scholarship. The course requires a modest degree of prior familiarity with the qualitative methods and statistics.

Цель освоения дисциплины

Learning the basic statistical skills necessary to conduct quantitative political study
Developing the programming skills in the R software.
Conducting quantitative analysis on the topic of student's choice.

Планируемые результаты обучения

- Knows the basic concepts of statistical inference including probability theory, variable types, and distributions.
- Knows about the core approaches to statistical inference (maximum likelihood, frequentist, and Bayesian) and its assumptions.
- Is able to read and understand the papers using quantitative methods, assess the validity of the results and critically evaluate the findings.
- Is able to produce their own quantitative research projects in accordance with replicability and transparency standards.
- Is capable of using R to work with statistical tools (e.g. visualise the distributions, estimate the key quantities of interest, use simulations etc.).

Содержание учебной дисциплины

Main Concepts of Statistical Inference
OLS and GLM models
Modelling longitudinal data
Introduction into causal modelling

Элементы контроля

Home assigments
Intermediate semester work on solving one of the problems related to the social sciences with the help of programming. Based on the materials of past seminars.
Final Project
A project requires students to look for a data source and conduct its preliminary analysis to answer relevant research questions using course materials
In-class activity

Промежуточная аттестация

2026/2027 3rd module
0.35 * Final Project + 0.3 * In-class activity + 0.35 * Home assigments

Список литературы

Авторы

Барыкин Ярослав Андреевич

Программа дисциплины