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Lecturer(s)
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Reiterová Eva, RNDr. Ph.D.
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Mandysová Petra, doc. Ph.D.
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Course content
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Main topics of the course: Descriptive statistics, frequency tables and histograms, types of frequencies Descriptive statistical characteristics of the basic and sample set Data files, their creation and processing Working with categorical data using chi-square tests, contingency tables Parametric methods of processing quantitative data, Student's t-tests, variance analysis Non-parametric methods and their use in statistical processing Working with statistical methods in Microsoft Excel Presentation of the results of statistical methods.
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Learning activities and teaching methods
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Monologic Lecture(Interpretation, Training)
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Learning outcomes
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The subject introduces the basics of statistics and types of statistical methods applicable to research problems solved in the field of nursing. It provides an overview of empirical data processing methods using descriptive and inductive statistics, including data preparation for statistical analysis, statistical evaluation and presentation of the results of statistical methods. The data will be processed using the statistical program Microsoft Excel.
The student is able - describe basic statistical concepts - master the basics of critical scientific thinking -implementation of research results and new findings in the field into clinical practice -use the principles of evidence-based practice - respect the ethical principles of scientific work in healthcare
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Prerequisites
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The student should be able to - master the basics of critical scientific thinking -implementation of research results and new findings in the field into clinical practice -use the principles of evidence-based practice - respect the ethical principles of scientific work in healthcare
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Assessment methods and criteria
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Seminar Work
Statistical processing of a pilot study of a nursing research project, 80% participation in teaching.
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Recommended literature
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Ferjenčík, J. (2000). Úvod do metodologie psychologického výzkumu. Praha.
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Hendl, J. (2004). Přehled statistických metod zpracování dat: analýza a metaanalýza dat. Praha: Portál.
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J. Hanousek, P. Charamza. (1992). Moderní metody zpracování dat: matematická statistika pro každého. Praha: GRADA.
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Lajčiaková, P., Tabačková, K. (2010). Ako spracovať výskum: manuál pre študentov psychológie.. Ružomberok: Verbum.
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MELOUN, Milan a Jiří MILITKÝ. (2004). Statistická analýza experimentálních dat.. Praha: Academia.
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Punch, K., & Hendl, J. (2008). Úspěšný návrh výzkumu. Praha: Portál.
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Reiterová, E. (2007). Statistické metody v psychologickém výzkumu.. Olomouc: Univerzita Palackého v Olomouci.
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Reiterová, E. (2016). Statistika pro nelékařské zdravotnické obory. Olomouc: Univerzita Palackého v Olomouci.
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Reiterová, E. (2009). Základy statistiky pro studenty psychologie. Olomouc: Univerzita Palackého v Olomouci.
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Sidney, M., Hennes, J. (2005). Reading and Understanding Applied Statistics.. Saint Luis.
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Šťastný, Z. (1999). Matematické a statistické výpočty v MS Excelu. Computer Press.
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Walker, I., & Novák, O. (2013). Výzkumné metody a statistika. Praha: Grada.
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Zvárová, J. (2011). Základy statistiky pro biomedicínské obory. Praha: Karolinum.
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