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Lecturer(s)
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Hrabalíková Ludmila, RNDr. Ph.D.
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Soukalová Kristýna, Mgr. Ph.D.
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Course content
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Scientific research - methods of human knowledge, qualitatively and quantitatively oriented research, research ex-post-facto and experiments. Data collection methods - observation, questionnaires, interviews, tests, sociometrics, semantic differential, Q-methodology. Measurement in pedagogical research - its types, properties. Methods of data processing I. - organize data in tables, graphical methods. Methods of data processing II. - characteristics of the location, extent and degree of variability of skewness and kurtosis, methods of exploratory data analysis, normal distribution. Statistical methods used for hypothesis testing I. - factual and statistical hypotheses research, statistical tests for the analysis of nominal data. Statistical methods used for testing hypotheses. II. - statistical tests to analyze ordinal and metric data. Computer processing of data in Statistica. Methods of data collection - the creation of the questionnaire, enrollment forms observation, sociograms, color semantic differential. Methods of data processing I. - organize data in tables, graphical methods. Methods of data processing II. - characteristics of the location, extent and degree of variability of skewness and kurtosis, methods of exploratory data analysis. Statistical methods used for hypothesis testing I. - factual and statistical hypotheses in research, the possibility of statistical tools and programs EXCELL, ADSTAT, Statistica.
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Demonstration, Skills training
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Learning outcomes
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The course focuses on basic terms from the field of scientific research methodology, work with professional literature, searching in scientific databases, basic methods of data collection and processing methods applied in statistical surveys in the social sciences, all in the context of use in the actual survey within the final thesis.
Student will be able to apply acquired knowledge outlined in the syllabus.
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Prerequisites
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unspecified
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Assessment methods and criteria
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Written examination
mandatory 80% attendance at seminars and seminars mastering a written test for credit written test of the exam
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Recommended literature
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HENDL, Jan. Kvalitativní výzkum: základní teorie, metody a aplikace.. Praha: Portál, 2016. ISBN 978-80-262-0982-9.
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HENDL, Jan. Přehled statistických metod: analýza a metaanalýza dat.. Praha: Portál, 2015. ISBN 978-80-262-0981-2.
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HOLÁ, J. Úvod do statistické analýzy. Cvičebnice zdravotnické statistiky. Pardubice: Univerzita Pardubice, 2012.
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CHRÁSKA, Miroslav. Metody pedagogického výzkumu: základy kvantitativního výzkumu.. Praha: Grada, 2016. ISBN 978-80-247-5326-3.
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JAROŠOVÁ, D., ZELENÍKOVÁ, R. Ošetřovatelství založené na důkazech. Praha: Grada, 2014. ISBN 978-80-247-5345-4.
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MAREČKOVÁ, J.; KLUGAROVÁ, J. A KOL. Evidence-Based Health Care: Zdravotnictví založené na vědeckých důkazech. Olomouc: Univerzita Palackého v Olomouci, 2015.
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VÉVODOVÁ, Š., IVANOVÁ, K. a kol. Základy metodologie výzkumu pro nelékařské zdravotnické profese. Olomouc: Univerzita Palackého v Olomouci, 2015.
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