Infopaket

Multivariate Data Analysis in R

ОК10

Обов’язкова дисципліна для ОП

Second

2023/2024

2 Semester

4

1.1 Know modern methods of linear regression analysis. 1.2 Know the methods of experimental design. 2.1 Be able to build and interpret linear regression models and determine their quality. 2.2 Be able to analyze and summarize the ranks in the systems of characteristics. 2.3 Be able to build and interpret models with factorial design. 4.1 Demonstrate skills of independent research work, mastering new knowledge.

Full-time form

1. Know the methods of collecting sociological information, basic methods of analysis of sociological data. 2. Be able to work with sociological data, read professional sociological publications and formulate ideas in English 3. Have the skills to use methodologies and conceptual foundations of sociological analysis; have basic skills in R.

1. Programming in Rstudio. 2. Building of regression models. 3. Methods of analysis of rank characteristics. 4. Factorial design.

Basic: (Basic) 1. Auspurg Katrin, Hinz Thomas. Factorial Survey Experiment. - Sage, Series: Quantitative Applications in the Social Survey, 2015. - Vol.175. - 143 p. 2. Wooldridge Jeffrey M. Introduction to econometrics.- Cengage Learning, 2015, 603 p. (pp.18-211) 3. Treiman Donald J. Quantitative Data Analysis. Doing Social Research to Test Ideas.- Jossey-Bass, 2008, 444 p. (pp 151-333) 4. Hox, Joop J., Ita G. Kreft, and Piet L. J. Hermkens (1991): The Analysis of Factorial Surveys.- 1991, Sociological Methods & Research vol. 19, issue 4, pages 493-510 5. Sydorov MV-S. Practical implementation of factorial design by means of R.- Sociological studies, scientific and practical journal.- Lutsk: №.2 (7), 2015, p.58-66 Additionally :. 1. Sydorov MV-S., Sereda OS, Mramornova OM Using LimeSurvey for online implementation of factorial design in surveys.- Current issues of sociology, psychology, pedagogy: Collection of scientific papers. - К.: Logos, - vol.4 (29), 2015, pp.134-111

Lecture, practical lesson, self-study work

1. Distance course "Introduction to R" DataCamp - the presence of a certificate RS 1.1, RS 4.1. 6 points / 2 points. 2. Homework in the form of tests RS2.1, RS2.2, RS2.3, RS 4.1 (total 7 during the study of the course) - 49 points / 28 points (7 maximum or 4 minimum points for each). 3. Final test 1 RS1.1, RS2.1 - 15 points / 10 points. 4. Final control work 2 RS1.1, RS2.1, RS 4.1. - 15/10 points. 5. Final control work 3 RS1.1, RS1.2, RS2.1, RS 2.2, RS 2.3. - 15 points / 10 points. final assessment – credit

Ukrainian