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Lecturer(s)
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Peng Danping, Mgr. Ph.D.
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Šmelová Eva, prof. PhDr. Ph.D.
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Chráska Miroslav, doc. PhDr. Ph.D.
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Szotkowski René, doc. PhDr. Ph.D.
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Course content
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Basic themes: 1. Measurement in educational research, its types and properties. 2. Measurement levels in educational research. 3. Methods of data processing. 4. Position characteristics (mean values). 5. Measures of variability. 6. Methods of graphical data representation. 7. Selected techniques of exploratory analysis (quartile graphs, S-L graphs). 8. Normal distribution and its properties. 9. Methods and techniques of relational analysis. 10. Correlation analyses. 11. Selected statistical tests of significance used in hypothesis
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Learning activities and teaching methods
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unspecified
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Learning outcomes
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Aims of the subject / students will be able to: Name and characterize measurements in educational research, its types and characteristics, List and characterize measurement levels in educational research, Characterize normal distribution and its properties, Describe and use central tendencies (mean values), Use methods of graphical data representation, Use selected statistical methods used in hypothesis testing, Evaluate and interpret quantitative research data, Describe and use selected software for data processing in quantitative research.
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Prerequisites
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unspecified
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Assessment methods and criteria
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unspecified
Full-time form of study: written (exam), continuous fulfillment of seminar tasks assigned at seminars, self-study - continuous preparation for follow-up seminars and exams. Requirements for Students with an Individual Study Plan: 1. A minimum of 20% attendance at seminars. 2. Submission of a summary for each module. 3. Mandatory participation in the final exam.
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Recommended literature
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Brown, A. T. (2015). Confirmatory factor analysis for applied research (2nd ed.). New York, NY: The Guilford Press.
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deMarrais, K. B., & Lapan, S. D. (Eds.). (2004). Foundations for research: Methods of inquiry in education and the social sciences. Mahwah, NJ: Lawrence Erlbaum Associates..
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Hoy, K. W., & Adams, C. M. (2015). Quantitative research in education: A primer. Thousand Oaks, CA: SAGE..
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Kaplan, D. (2014). Bayesian statistics for the social sciences. New York, NY: The Guilford Press..
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Lichtman, M. (2013). Qualitative research in education: A user's guide. Thousand Oaks, CA: SAGE..
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Newsome, B. O. (2016). Introduction to research, analysis, and writing: Practical skills for social science students. Thousand Oaks, CA: SAGE..
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Ravid, R. (2015). Practical statistics for educators (5th ed.). Lanham, MA: Rowman & Littlefield Publishers..
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