Infopaket

Quantitative methods: multivariate analysis

ОК10

Обов’язкова дисципліна для ОП

Second

2023/2024

2 Semester

5

1.1 Know the methods of a multidimensional approach to the study of social reality 1.2 Know modern methods of linear regression analysis 2.1 Be able to build and interpret linear regression models and determine their quality. 2.2 Be able to build and interpret factor models. 2.3 Be able to check the quality of multidimensional models. 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 search and select relevant information in English, use methodologies and conceptual foundations of sociological analysis; have basic skills in R and SPSS.

1. Applied software for sociological research. 2. Multidimensional approach to modeling social reality. 3. Regression. 4. Factor analysis.

1. Treiman, Donald J. (2008). Quantitative Data Analysis. Doing Social Research to Test Ideas. Jossey-Bass, 444 p. (pp. 151-333). 2. Wooldridge, Jeffrey M. (2015). Introduction to econometrics. Cengage Learning, 603 p. (pp.18-211). 3. Gorbachyk, А. P., Salnikova, S. А. (2008). Analysis of sociological research data by means of SPSS: Textbook. Lutsk: Publ. "Tower" Lesya Ukrainka Volyn. Nat. University, 164 p. (pp. 147-160). 4. Salnikova, S., Muradyan, O., Sydorov, M. (2020). International Macrosocial Indicators as Analytical Tools in Sociology. Sociological Studios. 2 (17), pp. 41–54. DOI: https://doi.org/10.29038/2306-3971-2020-02-41-54 5. Sydorov, M., Salnikova, S., Savelyev, Yu., Oliinyk, O. (2020). Modified SERVPERF and normalized SERVQUAL models in estimation of service quality in higher educational institutes. In: Sociological Studios, No 1 (16), P. 29–39. https://doi.org/10.29038/2306-3971-2020-01-29-39

Lecture, practical training, personal work, final work

1. Distance course "Data analysis in R" Stepik - the presence of a certificate PH 1.1, PH 4.1 - 7 points / 10 points 2. Test 1 PH1.1, PH1.2, PH2.1, PH4.1 - 8 points / 12 points 3. Test 2 PH1.1, PH2.2, PH 2.3, PH4.1 - 8 points / 12 points 4. Practical works - 13 points / 26 points Final evaluation - exam РН 1.1, РН 1.2, РН 2.1, РН 2.2, РН 2.3.

ukrainian