ZUR565 Statistical data analysis

Faculty of Social Studies
Autumn 2009
Extent and Intensity
0/1. 4 credit(s). Type of Completion: z (credit).
Teacher(s)
Mgr. Renáta Sedláková, Ph.D. (seminar tutor)
Guaranteed by
prof. PhDr. Jiří Pavelka, CSc.
Department of Media Studies and Journalism – Faculty of Social Studies
Contact Person: Ing. Bc. Pavlína Brabcová
Timetable
each even Thursday 16:00–17:40 PC25
Course Enrolment Limitations
The course is offered to students of any study field.
The capacity limit for the course is 10 student(s).
Current registration and enrolment status: enrolled: 0/10, only registered: 0/10, only registered with preference (fields directly associated with the programme): 0/10
Course objectives
At the end of the course students should be able to (with the statistical software SPSS): formulate a research problem; characterize the attributes of the survey data; test hypotheses; analyze the survey data; generate research output
Syllabus
  • Lesson 1 - introduction
  • Lesson 2 Research problem, research questions, and variables.
  • Lesson 3 Survey data. Basic steps in the SPSS.
  • Lesson 4 Nominal and ordinal data distribution.
  • Lesson 5 Continuos data distribution.
  • Lesson 6 Variable transformation.
  • Lesson 7 Variable transformation - examples and practise.
  • Lesson 8 Normal distribution.
  • Lesson 9 Hypoteses testing, statistical infernce.
  • Lesson 10 Comapring means.
  • Lesson 11 Crosstabs.
  • Lesson 12 Meassures of asociation, latent variables.
  • Lesson 13 Exercise and practice.
Literature
  • NORUŠIS, Marija J. SPSS introductory statistics : student guide. Chicago: SPSS, 1990, 420 s. ISBN 0-13-178062-X. info
  • FIELD, Andy. Discovering statistics using SPSS for Windows : advanced techniques for the beginner. 1st pub. London: SAGE Publications, 2000, xii, 496 s. ISBN 0-7619-5754-5. info
  • BLACK, Thomas R. Doing quantitative research in the social sciences : an integrated approach to research design, measurement and statistics. 1st pub. London: SAGE Publications, 1999, xiv, 751 s. ISBN 0-7619-5352-3. info
  • NORUŠIS, M. J. SPSS 12.0 guide to data analysis. Upper Saddle River, N.J.: Prentice Hall, 2004, xviii, 637. ISBN 0131478869. info
  • BRYMAN, Alan and Duncan CRAMER. Quantitative data analysis with SPSS Release 8 for windows : a guide for social scientists. 1st. pub. London: Routledge, 1999, xvi, 303. ISBN 0415206979. info
  • HENDL, Jan. Přehled statistických metod zpracování dat :analýza a metaanalýza dat. Vyd. 1. Praha: Portál, 2004, 583 s. ISBN 8071788201. info
Teaching methods
data analysis, practical work with the statistical software SPSS, comparison, hypothesis testing
Assessment methods
Intensive course: lecture and seminar.
Credit: home work, running tests.
Exam: written test (teoretical and practical part).
Language of instruction
Czech
The course is also listed under the following terms Autumn 2008, Spring 2010, Spring 2011, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019.
  • Enrolment Statistics (Autumn 2009, recent)
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