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Lecturer(s)
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Peterová Věra, Mgr. Ph.D.
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Sloboda Zdeněk, Mgr. Ph.D.
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Course content
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1. Elementary knowledge of work with the computer during data analysis 2. Introduction to the use of the SPSS or STATISTICA software 3. Types of variables, research design of quantitative study 4. Univariate analysis 5. Bivariate analysis 6. Transformation of variables, selecting cases 7. Contingent tables 8. Crosstabs 9. Correlation analysis 10. Analysis of regression 11. Multivariate analysis, multivariate scalling 12. Using of statistical data analysis in media research
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Learning activities and teaching methods
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Monologic Lecture(Interpretation, Training), Dialogic Lecture (Discussion, Dialog, Brainstorming), Activating (Simulations, Games, Dramatization)
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Learning outcomes
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The course introduces students to the basics of working with mass data using SPSS and STATISTICA. Students will learn how to create your own data files and the basics of the data matrix, a data file. It teaches basic skills for analysis of qualitative data with Statistica software (univariate and bivariate analysis, contingent crosstabs, correlation, analysis of regression).
Students will - gain methodological knowledge and insight into mathematical and statistical data anlysis, - work with scholarly text on research methodology, - acquire practical skill and experience in creation of instruments for obtaining of statistical data, - acquire practical skill and experience in data procession, - acquire practical skill and experience in data analysis, - based on own analysis, be able to prepare a research report.
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Prerequisites
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Basic knowledge of research methodology of social sciences and the basic skill of work on PC.
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Assessment methods and criteria
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Written exam, Systematic Observation of Student
Elaboration of a tasks of an analysis on a particular data set. Analytical report based on assigned data (written exam).
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Recommended literature
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Adams, K. A., & Lawrence, E. K. Research methods, statistics, and applications.
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Berger, A. A. Media and communication research methods: an introduction to qualitative and quantitative approaches.
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Bohrenstedt, G.W., Knoke, D. Statistics for Social Data Analysis. Itasca, Illinois: F.E. Pacock Publishers, Inc..
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Disman, M. Jak se vyrábí sociologická znalost, Praha, Karolinum 1993, kap. 8.
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Knapp, H. (2014). Introductory statistics using SPSS. Thousand Oaks, Calif: SAGE Publications.
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Loučková, I. 1991. Základní statistické přístupy v sociologickém výzkumu. Olomouc:UP.
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Meloun, M., Militký, J. 1998. Statistické zpracování experimentálních dat. Praha: Ars magna..
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Sedláková, R. (2014). Výzkum médií: nejužívanější metody a techniky. Praha: Grada.
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Swoboda, H. Moderní statistika. Praha:Svoboda.
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Wonnacot T.H., Wonnacot R.J. Statistika pro obchod a hospodářství. Praha: Victoria Publishing.
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