|
Lecturer(s)
|
|
|
|
Course content
|
Lecture Topics: 1. week: Basic terms: Survey and research, basic and applied research, qualitative and quantitative, experiment and research. 2. week: Types of clinical experiments and studies, ethical aspects: informed agreement. 3. week: Introduction into statistic survey: Population and selection, identifications and statistic units. 4. week: Questionnaires: types of units, pilot survey. 5. week: Elementary description of data: issues of frequencies including multiple responses, modus, quota table. 6. week: Quantile and moment characteristics: Median, average, determinative divergence, box-plot. 7. week: Timeline and its characteristics. 8. week: Examples of using MS-Office Excel (modus, median, average, determinative divergence, frequencies, quanta table). 9. week: Research performed at the FHS. Visiting a laboratory.
|
|
Learning activities and teaching methods
|
|
unspecified
|
|
Learning outcomes
|
The subject covers the issues of research from the definition of a problem, selection of an adequate method and creation of questionnaires to selected possibilities of statistic description of received information. The aim of the subject is providing the students with some practical guidance on how to develop a bachelor's project, including the information about the possibility of research activities at the faculty. 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. 8. Excel - Functions "median", "average", "smodch". Work with the IHIS indicator database.
Subject Knowledge: Students will know research rules in all its stages from planning and processing to publication of the results, and they will also know related ethical rules. Professional Skills: Students are able to obtain data and use basic statistical methods to process the data using the computer.
|
|
Prerequisites
|
unspecified
|
|
Assessment methods and criteria
|
unspecified
Minimum 80% class attendance
|
|
Recommended literature
|
-
HAVEL, Z. a D. CIHLÁŘ. Vybrané neparametrické statistické postupy v antropomotorice.. Ústí n. L.: UJEP, 2011. ISBN 978-80-7414-402-8.
-
HENDL, J. Kvalitativní výzkum - základní metody a aplikace.. Praha: Portál, 2005. ISBN 80-7367-040-2.
-
HENDL, J. Přehled statistických metod zpracování dat.. Praha: Portál, 2004. ISBN 80-7178-820-1.
-
HRACH, Karel. Základy biostatistiky s využitím Excelu. Ústí n.L.: UJEP, 2011. 48 s. ISBN 978-80-7414-398-4..
-
JAROŠOVÁ, Darja. Výzkum v ošetřovatelství.. Ostrava, 2006.
-
JELÍNEK, M., et al. Jak psát závěrečné práce na FZS UJEP. Ústí n. L.: UJEP. 2016. 36 s.. Ústí n. L., 2015.
-
LIŠKA, Václav. Zpracování a obhajoba bakalářské a diplomové práce. Praha: Professional Publishing, 2010. 93 s. ISBN 978-80-7431-021-8..
-
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..
-
ZVÁROVÁ, J. a L. Lhotská. Biomedicínská informatika IV. Data a znalosti v biomedicíně a zdravotnictví, Praha: Karolinum, 2010. ISBN 978-80-246-1805-0.. 2002. ISBN 80-7184-786-0.
|