SOCb1018 Quantitative Data Analysis I

Faculty of Social Studies
Spring 2025
Extent and Intensity
1/2/0. 6 credit(s). Type of Completion: zk (examination).
In-person direct teaching
Teacher(s)
Mgr. Petr Fučík, PhD. (seminar tutor)
Mgr. Ing. Tomáš Doseděl, Ph.D. (seminar tutor)
Beatrice Elena Chromková Manea, M.A., Ph.D. (seminar tutor)
Mgr. et Mgr. Marcela Petrová Kafková, Ph.D. (seminar tutor)
Guaranteed by
Mgr. Ing. Tomáš Doseděl, Ph.D.
Department of Sociology – Faculty of Social Studies
Contact Person: Ing. Soňa Enenkelová
Supplier department: Department of Sociology – Faculty of Social Studies
Prerequisites
! SOCb1008 Data Analysis with SPSS
It is essential to register in this course after the completion of the course SOCb1006.
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.
fields of study / plans the course is directly associated with
there are 8 fields of study the course is directly associated with, display
Course objectives
This course is aimed undergraduate students (bachelor’s programme) at Faculty of Social Study. It is divided into two semestrs. General objective of the course is to introduce students in knowledge of basic concepts of statistics and the ability to analyse quantitative survey data using special statistical software SPSS (Statistical Packet for Social Sciences). During the course, students will learn how to record survey data, clean the data and transform the data. They will master procedures of descriptive analysis (perform computations): univariate analysis; comparison of means; t-test; analysis of variance; inferential statistics and hypothesis testing; bivariate analysis - crosstabulation and measurement of the strength of association/correlation between two variables; elaboration and partial correlation; regression analysis; factor analysis. At the end of the course student should be able to understand basic statistical concepts and models and understand and perform statistical analysis of surveys’ data – to assess and apply particular statistical techniques in SPSS, which are relevant to research questions. He/she is also able to reflex of all process surveys’ data preparation and analysis in the critical way.
Learning outcomes
Students obtain knowledge of basic concepts of statistics and the ability to analyse quantitative survey data.
Syllabus
  • Main topics: 1. Basic strategies of quantitative research: research questions, operationalisation, variables; 2. How to prepare data for the analysis using SPSS -(module files; edit, view, utilities) 3. Distribution of categorical data and univariate analysis (module descriptive statistics - frequencies, explore); 4. Distribution of interval data and their analysis; 5. Transformation of data (module transform, recode, compute, count, rank cases); 6. Normal Distribution 7. Comparison of means 8. Bivariate analysis - crosstabulation; 9. Strength of association - coefficients of association and correlation; 10. Spurious correlations, elaboration, partial correlation;
Literature
    required literature
  • RABUŠIC, Ladislav, Petr SOUKUP and Petr MAREŠ. Statistická analýza sociálněvědních dat (prostřednictvím SPSS) (Statistical data analysis (with SPSS)). 2. přepracované vyd. Brno: Masarykova univerzita, 2019, 573 pp. ISBN 978-80-210-9247-1. URL info
Teaching methods
Lecture (demonstration of basic statistical concepts, models, and techniques), exercises in computer rooms (demonstration of computing examples in SPSS), weekly assigned homeworks (self-computing tasks).
Assessment methods
Exam: written test consisting of 2 parts: in the first one, students will be asked to explain basic statistical concepts and/or procedures of statistical analysis. In the second one, they will have to solve three statistical tasks - computation by using SPSS.
Language of instruction
Czech
Follow-Up Courses
Further comments (probably available only in Czech)
The course is taught annually.
The course is taught: every week.
Listed among pre-requisites of other courses
Teacher's information
Literature to be studied is described at greater details in the more concrete syllabus that can be found in Information System of Masaryk university.
The course is also listed under the following terms Spring 2022, Spring 2023, Spring 2024.
  • Enrolment Statistics (Spring 2025, recent)
  • Permalink: https://is.muni.cz/course/fss/spring2025/SOCb1018