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Lecturer(s)
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Sameš Martin, prof. MUDr. CSc.
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Hrach Karel, RNDr. Ph.D.
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Novák Stanislav, prof. RNDr. CSc.
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Vostrý Michal, doc. PhDr. Ph.D.
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Course content
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Lecture Topics: 1. Introduction to scientific terminology, basic and applied research, experiment and investigation. 2.Selected ethical issues of scientific work - code of ethics, informed consent, Good Clinical Practice. 3. Specifics of qualitative research in health care. 4. Specifics of quantitative research in health care. 5. Experiment - types of design. Methods of observation. 6. Questionnaire survey - standardized questionnaires, validity, reliability. 7. Types of quantities, principles of statistical description. 8. Scientific and statistical hypothesis - basic principles of statistical induction. 9. Chi-square tests (principle and usage examples). 10. Pair tests (principle and examples of use). 11. Two-choice tests (principle and examples of use). 12. ANOVA tests (principle and examples of use). 13. Information - primary and secondary sources, electronic information sources (EIZ) UJEP, citations of literature. 14. Publication of results, lecture, paper, scientific article, poster, DP. 15. Scientometry, grant system. Seminar Topics: 1.Evidence Based Medicine (EBM), Evidence Based Practice (EBP). Backgrounds and differences. 2.Search the clinicaltrials.gov, PubMed database. 3.Principles of observation, selection of observed phenomena according to intention, participating observation, characteristics. 4.Working with Excel - principles of data transcription to computer, methods of coding different types of items from questionnaires 5.Formulation of experimental design for specific research tasks. Using the interview. 6.Standardized questionnaire, preparation of questionnaire. Organization and coding of interviews. SW ATLAS.ti. 7.Basic descriptive characteristics in Excel (frequencies, moments, quantiles, basic types of graphs). 8.Practical formulation of research goals and hypotheses. 9.Chi-square tests using Excel. 10.Paired tests using Excel. 11.Two-choice tests using Excel. 12.ANOVA tests using Excel. 13.Practical processing of the research of selected problem. 14.Case study processing. 15.Descriptive, epidemiological and analytical studies
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Learning activities and teaching methods
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unspecified
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Learning outcomes
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The course develops students' knowledge of research in general, but with particular emphasis on the specifics of medical disciplines and in combination with the practical mastery of selected statistical procedures using Excel.
Expertise: Students will be able to characterize the specific focus on research in health care. They are familiar with relevant professional terminology. Professional skills: Students are able to prepare questionnaires for surveys and with the use of Excel can independently process selected types of research outputs of health care data. They can use acquired knowledge for their own diploma thesis.
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Prerequisites
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unspecified
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Assessment methods and criteria
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unspecified
80% attendance in lessons (written test precedes the oral exam) - selected statistical tests processed using Excel commands and tools, practical processing of selected qualitative research tasks.
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Recommended literature
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GURKOVÁ, E. Hodnocení kvality života: pro klinickou praxi a ošetřovatelský výzkum. 1. vyd. Praha: Grada, 2011. 223 s. ISBN 978-80-247-3625-9. Praha, 2011. ISBN 978-80-247-3625-9.
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HAVEL, Z. a D. CIHLÁŘ. Vybrané neparametrické statistické postupy v antropomotorice.. Ústí n. L.: UJEP, 2011. ISBN 978-80-7414-402-8.
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HENDL, J. Přehled statistických metod zpracování dat.. Praha: Portál, 2004. ISBN 80-7178-820-1.
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HRACH, K. Základy biostatistiky s využitím Excelu. Ústí n. L.: UJEP, 48 s. ISBN 978-80-7414-398-4.. ISBN 978-80-7414-398-4.
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JAROŠOVÁ, D. & R. ZELENÍKOVÁ. Ošetřovatelství založené na důkazech: Evidence Based Nursing. 1. vyd. Praha: Grada, 2014. ISBN 978-80-247-5345-4.. ISBN 978-80-247-5345-4.
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KUTNOHORSKÁ, J. Výzkum v ošetřovatelství. Praha: Grada Publishing, 2009. ISBN 978-80-247-2713-4.. ISBN 978-80-247-2713-4.
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Miovský, M. Kvalitativní přístup a metody v psychologickém výzkumu. Praha: Grada, 2006.
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OCHRANA, F. Metodologie vědy.. 2009.
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PEACOCK, J. L., PEACOCK., P. J. Oxford Handbook of Medical Statistics. Oxford: University Press, 517 s. ISBN 978-0-19-955128-6.
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