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Course Syllabus

Master 2021/2022

Qualitative and Quantitative Methods of Social Research

Category 'Best Course for Career Development'
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
Type: Compulsory course (Political Analysis and Public Policy)
Area of studies: Political Science
Delivered by: Public Policy Department
Where: Faculty of Social Sciences
When: 1 year, 1-3 module
Mode of studies: offline
Open to: students of one campus
Instructors: Victor Attila Albert, Vasiliy A. Anikin, Stanislav Georgievich Pashkov, Anna Nikitichna Potsar
Master’s programme: Political Analysis and Public Policy
Language: English
ECTS credits: 10
Contact hours: 100

Course Syllabus

Full Syllabus

Abstract

The course aims to help students to develop a deeper understanding of both qualitative and quantitative research methods and become proficient in employing them. It will introduce students to the key principles and practice of social research. The course will discuss different qualitative and quantitative research methods and how they may be used in research.
Learning Objectives

Learning Objectives

  • To provide students with knowledge of the key methods of qualitative analysis
  • To help students to better understand how to design and execute qualitative research
  • To equip students with practical skills in collecting, analysing, and interpreting qualitative data
Expected Learning Outcomes

Expected Learning Outcomes

  • Ability to analyze and improve familiar research methods and professional skills
  • Ability to analyze political, economic and sociological data using different qualitative and quantitative methods.
  • Able to carry out research and other professional activities in changing environment
  • Able to formulate their own research questions and identify methodological units.
  • Able to model nonlinear relationships between variables
  • Able to to build up bivariate and multivariate linear regressions and estimate these models using ordinary least squares (OLS) estimator
  • Be able to work with various data structures and know the ways of collecting empirical data for quantitative analysis
  • Know how to distinguish the two basic forms of statistical relationship, correlation and causation
  • Know how to navigate amidst different types of regressions and correctly match a regression model to the data they use
  • Know principles of normal and non-normal distribution and obtain skills on how to handle data accordingly
  • Learn how to apply parametrical analysis of data in SPSS, STATA and R (optional).
  • Learn how to collect and manage survey data, extract sub-samples, split and merge datasets, and produce long and short data formats
  • Learn how to explore variables using basic statistics and apply basic commands of SPPSS software for computing and calculating basic statistics
  • Learn new research methods and approaches on his/her own, to evolve professionally
  • To get general understanding of qualitative research conceptualization
Course Contents

Course Contents

  • What your thesis is not, and what can it hope to reveal. Conceptualising qualitative research and conducting interviews
  • In-depth interviewing
  • Focus Groups
  • Participant Observation
  • Qualitative research during a pandemic
  • Content analysis
  • Discourse as an object of study
  • Linguistic criticism: research techniques based on linguistic approach.
  • Research Design and Research Methodology of a Quantitative Study
  • Macro- and Micro-Data. Introduction to Opensource Datasets
  • Data Management. Scaling. Indicators
  • Descriptive Analysis
  • Exploring Distributions and Statistical Inference
  • Statistical Relationship. Correlation
  • Statistical relationship. Causation
  • Linear Regression Models
  • Nonlinear Regression Models
  • Introduction to the Classification Analysis
  • Advanced Topics of Quantitative Analysis
Assessment Elements

Assessment Elements

  • non-blocking Reflection paper (qualitative methods)
  • non-blocking Written assignment (qualitative methods)
  • non-blocking Presentation
  • non-blocking Quiz
  • non-blocking Homework
  • non-blocking Participation
Interim Assessment

Interim Assessment

  • 2021/2022 3rd module
    0.2 * Written assignment (qualitative methods) + 0.1 * Participation + 0.2 * Quiz + 0.2 * Reflection paper (qualitative methods) + 0.3 * Homework
Bibliography

Bibliography

Recommended Core Bibliography

  • Berg, B. L. . (DE-588)140800271, (DE-576)165756063. (2009). Qualitative research methods for the social sciences / Bruce L. Berg. Allyn and Bacon.
  • Drisko, J. W., & Maschi, T. (2016). Content Analysis. New York, NY: Oxford University Press. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1107420
  • Handbook of interview research context & method ed. Jaber F. Gubrium; James A. Holstein. (2002).
  • McNabb, D. E. . V. (DE-588)128628677, (DE-627)376934980, (DE-576)185381413, aut. (2021). Research methods for political science quantitative, qualitative and mixed methods approaches David E. McNabb.

Recommended Additional Bibliography

  • David Kaplan. (2004). The SAGE Handbook of Quantitative Methodology for the Social Sciences. SAGE Publications, Inc.
  • JeongHoon Min. (2019). NSCALE: Stata module to scale data. Statistical Software Components.