Advanced methods of Data Analysis in Sociology
Course: Gender Studies (with option of Double Degree Program with Lund University, Sweden)
Structural unit: Faculty of Sociology
Title
Advanced methods of Data Analysis in Sociology
Code
ОК02
Module type
Обов’язкова дисципліна для ОП
Educational cycle
Second
Year of study when the component is delivered
2023/2024
Semester/trimester when the component is delivered
1 Semester
Number of ECTS credits allocated
4
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 nominal scales in the regression model, in particular dummy independent variables and the logistic regression model.
2.2 Be able to analyze multidimensional frequencies tables, in particular within the hierarchical loglinear model.
2.3 Be able to use the model of confirmatory factor analysis to measurement models construction.
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. Review of the latest trends in statistical analysis of social data.
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.
6. Structural equations modeling and confirmatory factor analysis as the tools for parsimony measurement models.
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
Planned learning activities and teaching methods
Lecture, practical training, personal work
Assessment methods and criteria
1. Test work 1 (test) for topics 1-4, LO1.1, LO2.1, LO2.2 – 12 points / 20 points/
2. Test work 2 (test) for topics 5- 6, LO1.1, LO2.3 – 12 points / 20 points.
3. Performing tasks in training classes for topics 1-6 LO1.1, LO2.1, LO2.2, LO2.3 – 12 points / 20 points.
final assessment – exam, LO2.1, LO2.2, LO2.3
Language of instruction
ukrainian
Lecturers
This discipline is taught by the following teachers
Departments
The following departments are involved in teaching the above discipline