Бакалавриат
2024/2025
Анализ данных в социологии
Статус:
Курс обязательный (Социология и социальная информатика)
Направление:
39.03.01. Социология
Кто читает:
Департамент социологии
Где читается:
Санкт-Петербургская школа социальных наук
Когда читается:
3-й курс, 3 модуль
Формат изучения:
без онлайн-курса
Охват аудитории:
для всех кампусов НИУ ВШЭ
Преподаватели:
Тенишева Ксения Алексеевна
Язык:
английский
Кредиты:
3
Course Syllabus
Abstract
This course lasts for three years. The 1st year aims at beginners. This year starts from introductory topics (variable types, hypothesis testing, descriptive statistics) to working with some methods (chi-square, t-test, nonparametric statistics, one-way ANOVA, and linear regression). The course covers the building blocks of quantitative data analysis with the aim to train students to be informed producers and consumers of quantitative research. The applied part introduces working in R (RStudio) for calculations and reporting.This course is the starting point for social science and humanities students interested in pursuing training in advanced methods of data analysis or planning to use quantitative methods in their own research. The 2nd year aims at intermediate-level students. This year starts from introductory topics (data preparation, visualization, basic statistical tests) to working with more advanced methods of data analysis (interaction effects in linear regression, GLM, factor analysis). The course aims to develop quantitative data analysis skills required to understand and perform independent research. The applied part includes working in R (RStudio). The 3d year aims at upper-intermediate level students.
Learning Objectives
- develop skills necessary to solve typical data analysis problems on social data in the R software environment
Expected Learning Outcomes
- Choose appropriate methods and techniques for certain types of variables and certain aims of the analysis
- Conduct statistical analyses in RStudio
- Create analytical reports describing all the stages of analysis and interpreting its results
- Give meaningful interpretation of statistical results: regression coefficients, tables, plots and diagrams (produced in R)
- Perform data transformations
- Represent graphically the results of the statistical analyses
Course Contents
- Central tendency measures
- Chi-square
- Two means comparison
- One-way ANOVA
- Linear regression
- Linear regression with multiple predictors
- Data quality. Main issues with data
- Missings treatment
- Decision trees
- Cluster analysis
- Advanced regression techniques
- Multilevel regression
- 3rd year topics
- 4th year topics
Assessment Elements
- Mid-term test
- Final exam (blocking)
- Practice-
- Individual home assignments
- In-class activity
- Project
- In-class activity
- Mid-Term Test
- Short tests
- Projects
- Exam
Interim Assessment
- 2023/2024 4th module0.1 * Exam + 0.1 * Exam + 0.1 * In-class activity + 0.1 * In-class activity + 0.1 * In-class activity + 0.1 * In-class activity + 0.2 * Mid-Term Test + 0.2 * Mid-Term Test + 0.4 * Projects + 0.4 * Projects + 0.1 * Short tests + 0.1 * Short tests
- 2024/2025 3rd module0.3 * Final exam (blocking) + 0.3 * Final exam (blocking) + 0.225 * Individual home assignments + 0.225 * Individual home assignments + 0.125 * Mid-term test + 0.125 * Mid-term test + 0.35 * Practice + 0.35 * Practice
- 2025/2026 3rd module0.1 * In-class activity + 0.1 * In-class activity + 0.6 * Individual home assignments + 0.6 * Individual home assignments + 0.3 * Project + 0.3 * Project
Bibliography
Recommended Core Bibliography
- 9780205849574 - Barbara G. Tabachnick; Linda S. Fidell - Using Multivariate Statistics, 6th Edition - 2013 - Pearson - https://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=1418064 - nlebk - 1418064
- Denis, D. J. (2016). Applied Univariate, Bivariate, and Multivariate Statistics. Hoboken, New Jersey: Wiley. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1091881
Recommended Additional Bibliography
- 9781292034898 - Agresti, Alan; Finlay, Barbara - Statistical Methods for the Social Sciences - 2014 - Pearson - https://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=1418314 - nlebk - 1418314
- Crawley, M. J. (2013). The R Book (Vol. Second Edition). Chichester, West Sussex: Wiley. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=531630
- Little, T. D. (2013). The Oxford Handbook of Quantitative Methods, Volume 1 : Foundations. Oxford University Press.
- Little, T. D. (2013). The Oxford Handbook of Quantitative Methods. Oxford University Press.