Quantitative Data Analysis II. - YMH521

• Title: Quantitative Data Analysis II.
• Guaranteed by: Programme Historical Sociology (24-HS)
• Faculty: Faculty of Humanities
• Actual: from 2021 to 2023
• Semester: winter
• E-Credits: 4
• Examination process: winter s.:
• Hours per week, examination: winter s.:2/0, Ex [HT]
• Extent per academic year: 26 [hours]
• Capacity: unknown / unknown (20)
• Min. number of students: unlimited
• 4EU+: no
• Virtual mobility / capacity: no
• State of the course: taught
• Language: English
• Teaching methods: full-time
• Teaching methods: full-time
• Level: basic
• Additional information: http://www.metodykv.wz.cz
• Note: enabled for web enrollment; priority enrollment if the course is part of the study plan; can be fulfilled in the future
• Guarantor: PhDr. Blanka Jirkovská, Ph.D.
• Pre-requisite : YMH515

Annotation

English

Last update: PhDr. Blanka Jirkovská, Ph.D. (25.09.2020)

A follow-up to the course ‘Quantitative Data Analysis’, the aim of which is to extend students' knowledge and practical skills required for quantitative data management, exploratory and descriptive analysis, and statistical methods. Distance education will be provided through the provision of learning materials, consultations in MS Teams and practical training of examples in SPSS.

Czech

Last update: PhDr. Blanka Jirkovská, Ph.D. (25.09.2020)

This course follows Quantitative Data Analysis I. The course covers the basic analysis of quantitative data from social surveys. Topics include simple descriptive statistics (central tendency and dispersion, frequency distributions, cross-tabulation, association/correlation), and elementary data manipulation; other topics are the logic of elaboration, data standardization, introduction to inferential statistics, basic principles of inferential statistics, i.e. statistical testing of hypotheses and multivariate analysis. Focus is on conceptual understanding and practical knowledge. Students will gain experience practicing their learning through various assignments using the statistical software SPSS. The fFinal exam will be fulfilled with own data analysis and a test (analysis of contingency tables). Distance education will be provided through the provision of learning materials, consultations in MS Teams and practical training of examples in SPSS.

Requirements to the exam

Last update: PhDr. Blanka Jirkovská, Ph.D. (13.06.2019)

seminar paper - presentation of primary or secondary quantitative data analysis, mostly analysis of the second degree - introducing aims, research questions, methodology, main results, interpretation

test - quantitative data analysis of the second degree, working with IBM SPSS Statistics

Syllabus

Last update: Mgr. Karolína Šedivcová (04.06.2019)

Structure of Lessons:
1. Repetition of basic environment of SPSS.

2. Summary of basic analysis of first order.

3. Comparison of means, T-test, ANOVA.

4. Basics of second order analysis in categorical variables - chi-square.

5. Working with Crosstabs.

6. Deeper analysis of Crosstabs.

7. Rules of sociological interpretation in categorical variables.

8. Correlation.

9. Elaboration.

10. Simple linear regression.

11. Multiple linear regression.

12. Factor analysis.

Required reading:

• BRYMAN, A. Social research methods. Oxford: Oxford University Press, 2008. ISBN 0199202958.

Recommended reading:

• BABBIE, E. Elementary analyses. In The Practice of social Research. 7th Edition. Belmont: Wadsworth, 1995. Pp. 375-394. ISBN 0-534-18744-7.

• De VAUS, D. A. Surveys in social research. Fifth edition. London: Routledge. 2002.

(chapters 10, 12 to 16)

• GARSON, G. D. Quantitative Research in Public Administration (PA 765 - 766).

• IBM SPSS Statistics 20 Brief Guide. [online]. IBM Corporation 1989, 2011. Available at: ftp://public.dhe.ibm.com/software/analytics/spss/documentation/statistics/20.0/en/client/Manuals/IBM_SPSS_Statistics_Brief_Guide.pdf

• IBM SPSS Statistics Base 20. [online]. IBM Corporation 1989, 2011. Available at: ftp://public.dhe.ibm.com/software/analytics/spss/documentation/statistics/20.0/en/client/Manuals/IBM_SPSS_Statistics_Base.pdf. (chapters 2, 3, 4, 5, 6, 7)

• MILLER, J. E. The Chicago guide to writing about numbers. Chicago: University of Chicago Press, 2004. (selected chapters)

• STATSOFT, Inc. Electronic Statistics Textbook. Tulsa, OK: StatSoft, 2010.

• TREIMAN, D. J. Quantitative data analysis: doing social research to test ideas. San Francisco: Jossey-Bass, 2009. ISBN 780470380031.

Entry requirements

Last update: Mgr. Karolína Šedivcová (19.06.2019)

The course follows the topics discussed at YHM515 - Quantitative Data Analysis I. Nevertheless, it is opened also for students of other departments or Erasmus students, but it requires the previous knowledge of statistic work in SPSS.