Advanced methods of Data Analysis in Sociology

Course: Applied sociology

Structural unit: Faculty of Sociology

Title
Advanced methods of Data Analysis in Sociology
Code
ОК6
Module type
Обов’язкова дисципліна для ОП
Educational cycle
Second
Year of study when the component is delivered
2021/2022
Semester/trimester when the component is delivered
2 Semester
Number of ECTS credits allocated
5
Learning outcomes
1.1 Knowledge of heuristic possibilities and limitations of of quantitative statistical data analysis methods in modern empirical sociological research. 2.1 Ability to use models of multidimensional data analysis methods in empirical sociological research. 2.2 Ability to design and evaluate measurement models for the construction of complex sociological indices.
Form of study
Full-time form
Prerequisites and co-requisites
Students should be familiar with the basics of statistical data analysis of empirical sociological research, including correlation analysis and multiple linear regression models, and be able to work with computer programs for statistical data analysis.
Course content
1. The purpose and structure of the course. 2. Linear regression model. Use of dichotomous (dummy) independent variables. 3. Logistic regression model. 4. Analysis of multidimensional frequencies tables. Hierarchical loglinear model. 5. Measurement of latent variables. Exploratory factor analysis.
Recommended or required reading and other learning resources/tools
1. Bors D. Data Analysis for the Social Sciences. Integrating Theory and Practice, Second Edition, 2018.- 664 p. – pp. 34-96, 167-254, 312-580 2. Schumacker, Randall E. A beginner’s guide to structural equation modeling / Randall E. Schumacker, Richard G. Lomax. – Fourth edition, 2016.- 351 p. – pp. 1-14, 85-105 3. Gorbachyk A.P., Salnikova S.A. Data Analysis in Sociological Research Using SPSS (in Ukrainian). pp. 24-78, 112-146 4. Engebretsen M. Kennedy H. (eds) Data Visualization in Society .- Amsterdam University Press, 2020.- 464 p. -- p. 17-77, 111-141 5. Laaksonen S. Survey Methodology and Missing Data .- Springer, 2018.- 224 p.-- 99-133, 141-217
Planned learning activities and teaching methods
Lecture, practical training, personal work
Assessment methods and criteria
2 semester: 1. Test work 1 (test) for topics 1 12 points / 20 points 2. Test work 2 (test) for topics 2-3 12 points / 20 points. 3. Performing tasks in training classes 12 points / 20 points. Final assessment – exam 40/24
Language of instruction
ukrainian

Lecturers

This discipline is taught by the following teachers

Andrii Petrovych Gorbachyk
Methodology and Methods of Sociological Research
Faculty of Sociology

Departments

The following departments are involved in teaching the above discipline

Methodology and Methods of Sociological Research
Faculty of Sociology