UNIVERSITY OF SOUTH BOHEMIA IN ČESKÉ BUDĚJOVICE
Study programmes & Course catalogue
for academic year 2023/2024
UNIVERSITY OF SOUTH BOHEMIA IN ČESKÉ BUDĚJOVICE
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Course: Methodology of quantitative research in social work and data processing I

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Course title Methodology of quantitative research in social work and data processing I
Course code USV/LMSZ1
Organizational form of instruction Lecture + Seminary
Level of course Master
Year of study not specified
Semester Winter
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 (14 topics in two-hour lessons) 1. Science and research, main types of research studies, history of empiric research 2. Theoretical basis of research. Selected theoretical concepts. Operationalization of concepts. 3. Hypothesis with regard to research and operationalization. 4. Phases of empiric research, plan and research arrangement 5. Choice and size of the sample in quantitative methodology (population reduction, area of problems relation to the sample determination) 6. Overview of methods and methods of data collection in quantitative research. 7. Questionnaire, questionnaire construction and data processing. Types of questions. 8. Structured interview, its construction and data processing.. 9. Quantitative content analysis. 10. Experiment and quasi-experiment. N-H-R model. 11. Case study - quantitative orientation. Case study - quantitative orientation. Types of case studies. Planning of a case study. 12. Standardized observation. 13. Measuring. . Theories, scaling, classification, production of tools (scales). 14. Combined research. Possibility of quantitative processing of a part of qualitative data, coding and quantification. Seminars (14 topics in two-hour lessons) 1. Programs of data processing. SPSS (abbr. Statistical Package for Social Sciences) - advantages for the use in social work. 2. Data collection - use of selective tools in quantitative research strategies. 3. Questionnaire - construction for the actual data collection. Numbering and its preparation for placing in the matrix. 4. Structured interview - assigning verbal answers and their processing in SPSS. Categorization. . 5. Research project - data collection in the class. 6. Data matrix formation, operations in, SPSS - possibilities and functions. 7. Yes-no questions and their classification. 8. Formation of outputs - possibilities of graphic representation of the results in SPSS. 9. Types of data, coding, categorization and re-categorization. 10. Descriptive statistics. Graphic data description. 11. Numerical variables. Central tendencies, variability. 12. Categorial variables. Frequency tables. 13. Testing of hypotheses. General rules. Types of tests. 14. Test of the proportion (quotient) of one or two groups

Learning activities and teaching methods
Dialogic (discussion, interview, brainstorming), Work with text (with textbook, with book), Activating (simulations, games, drama), Work with multi-media resources (texts, internet, IT technologies)
Learning outcomes
The goal of the subject is to extend the students` knowledge in the area of quantitative research studies and statistic data processing. The presented approaches are documented in the latest resources.
Achieved capabilities Students acquire complex knowledge and skills in the area of the quantitative research techniques - mainly the questionnaire, structured interview, quantitative content analysis and standardized observation. They will be able to place the collected data in SPSS (to form the data matrix), and perform basic tests including descriptive statistics (taking into account the numeral and categorical variables). The students will understand the advantages and disadvantages of combined research, including the ways of processing.
Prerequisites
The prerequisite for the completion of the course is a previous bachelor's degree in social work or related fields authorizing the profession of social worker.

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
UNIVERSITY OF SOUTH BOHEMIA IN ČESKÉ BUDĚJOVICE, date of update: 18.04.2024 23:50. Data created for academic year 2023/2024