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Lecturer(s)
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Havel Zdeněk, doc. PhDr. CSc.
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Hrach Karel, RNDr. Ph.D.
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Course content
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Lecture Topics: 1. week: Basic terms: survey and research, basic and applied research, qualitative and quantitative, experiment and research. 2. week: The types of clinical experiments and studies, ethical aspects: an informed agreement. 3. week: Introduction into statistic survey: population and selection, identifications and statistic units. 4. week: Questionnaires: the types of units, a pilot survey. 5. week: Elementary data description: the issues of frequencies including multiple responses, the modus, a quota table. 6. week: Quantile and moment characteristics: median, average, determinative divergence, a box-plot. 7. week: Timeline and its characteristics. 8. week: The examples of MS-Office Excel application (modus, median, average, determinative divergence, frequencies, a quanta table).
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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 subject is theoretically - practical and it assumes the application of knowledge and skills from the other nursing and humanitarian subjects. It also assumes a certain level of creativity. The subject provides the basics of critical scientific thinking, understanding the need and importance of a scientific approach towards a nursing training. The subject also covers the basic steps of a research process, choosing the correct methods, data processing and result evaluating. 1. Introduction to statistical surveys: Population and selection, identifiers / statistical variables (basic types). 2. Descriptions of categorical variables. 3. Descriptions of numerical quantities (quantitative and momentary characteristics, box-plot). Time series and its characteristics. 4. Introduction to data analysis: Gauss curve, population parameters 5. Statistical hypotheses, level of significance. 6. Selected examples of statistical tests: Parallel and two-tier t-test (Excel - TTEST command). Selected samples of statistical tests: Chi-quadrate tests (Excel - CHITEST command). 7. Excel - transcription of questionnaires into electronic form. Excel - "Frequency" function, "PivotTable" tool. Excel - Functions "median", "average", "smodch". Work with the IHIS indicator database.
Subject Knowledge: Students know the rules of research activity in all its stages: from planning and processing to publication of the results; and they also know related ethical rules. Professional Skills: Students are able to obtain the data and applying basic statistical methods process the data using the computer.
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Prerequisites
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unspecified
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Assessment methods and criteria
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unspecified
Minimum 80% attendance record during the lessons
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Recommended literature
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Generátor citací. Dostupné z: http://generator.citace.com/.
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Ukazatele DPS. ÚZIS. Dostupné z: http://www.uzis.cz/cz/dps/uvod.html.
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Havel, Z., Cihlář, D. Vybrané neparametrické statistické postupy v antropomotorice. Ústí n. L.: UJEP, 2011. 49 s. ISBN 978-80-7414-402-8.. Ústí nad Labem: Univerzita J. E. Purkyně, Pedagogická fakulta., 2011.
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HENDL, J. Kvalitativní výzkum - základní metody a aplikace.. Praha: Portál, 2005. ISBN 80-7367-040-2.
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HENDL, J. Přehled statistických metod zpracování dat.. Praha: Portál, 2004. ISBN 80-7178-820-1.
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HRACH, Karel. Základy biostatistiky s využitím Excelu. Ústí n.L.: UJEP, 2011. 48 s. ISBN 978-80-7414-398-4..
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JAROŠOVÁ, Darja. Výzkum v ošetřovatelství.. Ostrava, 2006.
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JELÍNEK, M., et al. Jak psát závěrečné práce na FZS UJEP. Ústí n. L.: UJEP. 2016. 36 s.. Ústí n. L., 2015.
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LIŠKA, Václav. Zpracování a obhajoba bakalářské a diplomové práce. Praha: Professional Publishing, 2010. 93 s. ISBN 978-80-7431-021-8..
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MICHALÍK, Petr - ROUB, Zdeněk - VRBÍK, Václav. Zpracování diplomové a bakalářské práce na počítači. Plzeň: Západočeská univerzita, 2009. 67 s. ISBN 978-80-7043-828-2..
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ZVÁROVÁ, Jana. Základy statistiky pro biomedicínské obory. Praha: Karolinum, 2001. 218 s. ISBN 80-7184-786-0..
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