Course: Methodology of quantitative research in social work and data processing II

« Back
Course title Methodology of quantitative research in social work and data processing II
Course code USV/LMSZ2
Organizational form of instruction Lecture + Seminary
Level of course Master
Year of study not specified
Semester Summer
Number of ECTS credits 4
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Vacková Jitka, doc. Mgr. et Mgr. Ph.D.
  • Dvořáčková Olga, Mgr. Ph.D.
Course content
Lectures (28 topics in two-hour lessons): 1. Evaluation and evaluation research approaches (self-evaluation, process tracing, meta-evaluation etc.) 2. Natural and social sciences. 3. Taboo in social sciences. Research studies with a controversial interpretation. Risks of application to practice. 4. Research in social work. Orientation at selected social problems (e.g. poverty, social exclusion etc.) 5. History of the research in social work, research methods in social work and their specifics. 6. Participative research in social work. 7. Historical research in social work. 8. Looking up sources - original scientific articles, big data, representative research studies in the CR. 9. Institutions focused on flat data collection in the CR. Czech Statistic Office, National Health Office, etc. Ways of data collection and processing. 10. Standardized techniques for social sciences, and/or social work. 11. Multicultural approach to research.Comparative research. 12. Pilot studies. 13. Research project - processing. 14. Research ethics. Seminars (28 topics in two-hour lessons) 1. Contingence table. 2. Analysis of adjusted residues. Sign scheme. 3. Dependence in the contingency table. Chi-squared test. 4. Tests of normality. T tests. 5. ANOVA. Post-hoc tests. 6. Linear and non-linear regression. Logistic regression. 7. Non-parametric tests for independent and dependent variables. 8. Parametric and non-parametric tests. 9. Multidimensional scaling - correspondence analysis 10. Multidimensional scaling - factor analysis. 11. Research in social work. 12. Data interpretation taking into account the sample size. 13. Processing methods and data interpretation from accessible data bases - Czech Statistic Office, National Health Institute and others. 14. Report about the research.

Learning activities and teaching methods
Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Work with text (with textbook, with book), Written action (comprehensive tests, clauses), Work with multi-media resources (texts, internet, IT technologies)
Learning outcomes
The goal of the subject is to extend the knowledge of quantitative research and statistic data processing. Presented methods are documented in the latest sources.
Achieved competences Students acquire complex knowledge and skills in the area of the construction of all research phases, further orientation relating to the "theory - sample size - chosen methodology of data collection - statistic testing and data interpretation". The students will be able to plan research studies and collect data which they will use to test the validity of the set hypotheses. They will be able to use selected statistic tests and interpret results taking into account the data representativity, reliability and validity. Furthermore, they will be able to prepare the transfer of research outputs into practice, including the evaluation of this process.
Prerequisites
Prerequisites are to passed the previous subject with abbr. LMSZ1.
USV/LMSZ1

Assessment methods and criteria
Colloquium

90% seminar attendance, practical exam (processing one`s own research project and implementing it in all of its phases), colloquium - discussion about all of the phases of the research project
Recommended literature
  • BAKALÁŘ, P. Tabu v sociálních vědách.. Praha: Votobia. 343 s. ISBN 80-7220-135-2, 2003.
  • BANKS, S. Ethics and Values in Social Work.. New York: Palgrave. Second edition. 217 p. ISBN 0-333-94798-3, 2001.
  • DISMAN, M. Jak se vyrábí sociologická znalost.. 4. vyd., Praha: Karolinum, 372 s., 2011.
  • FAY, B. Současná filosofie sociálních věd. Multikulturní přístup. (Transl. from the English original: Contemporary Philosophy of Social Science. A Multicultural Approach,. Blackwell Publishers, Oxford 1999; 1. vyd. Praha: SLON. 324 s. ISBN 80-86429-10-5, 2002.
  • HAVRÁNEK, J. et al. Základy zdravotnické statistiky.. České Budějovice: Zdravotně sociální fakulta JU. 100 s. ISBN 80-7040-663-1., 2004.
  • HENDL, J. Přehled statistických metod: analýza a metaanalýza dat.. aktual. vyd., Praha: Portál. 736 s. ISBN 978-80-262-0981-2, 2015.
  • HENDL, J., REMR, J. Metody výzkumu a evaluace.. Praha: Portál. 376 s., 2017.
  • HUBÍK, S. Hypotéza: metodologický nástroj výzkumu ve společenských vědách. České Budějovice: Zdravotně sociální fakulta JU. ISBN: 80-7040-842-1 (brož.), 2006.
  • KAJANOVÁ, A., STRÁNSKÝ, P., DVOŘÁČKOVÁ, O. Metodologie výzkumu v oblasti sociálních věd.. České Budějovice: Zdravotně sociální fakulta JU. 108 s. ISBN 978-80-7394-639-5., 2017.
  • LIKERT, R. A Technique for the Measurement of Attitudes.. Archives of Psychology, 140: 1?55., 1932.
  • MELOUN, M., MILITKÝ, J. Interaktivní statistická analýza dat.. Praha: Karolinum. 960 s. ISBN 978-80-246- 2173-9., 2012. ISBN 978-80-246-2173-9.
  • OSGOOD, C. E., SUCI, G. J., TANNENBAUM, P. H. The Measurement of Meaning. Urbana: University of Illinois Press. 342 s. ISBN 0-252-74539-6., 1957.
  • PTÁČEK, R., RABOCH, J. Určení rozsahu souboru a power analýza v psychiatrickém výzkumu.. Česká a slovenská psychiatrie, 106(1): 33?41., 2010.
  • ŘEHÁK, J., BROM, O. SPSS ? Praktická analýza dat.. Brno: Computer Press. 336 s. ISBN 978-80-251-4609-5., 2015.
  • TOMÁŠKOVÁ, H. Základy biostatistiky.. 2. vyd., Ostrava: Zdravotně sociální fakulta OU. 108 s. ISBN 978-80- 7368-702-1, 2012.
  • WHITLEY, E., BALL, J. Statistics review 4: Sample size calculations.. Critical Care, 6(4): 335?341., 2002.
  • ZVÁROVÁ, J. Biomedicínská statistika I. Základy statistiky pro biomedicínské obory.. 3. vyd. Praha: Karolinum. 220 s. ISBN 978-80-246-3416-6., 2016. ISBN 978-80-246-3416-6.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester