Course: Research methods

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Course title Research methods
Course code KO/MV9
Organizational form of instruction Lecture + Seminary
Level of course Bachelor
Year of study 2
Semester Summer
Number of ECTS credits 1
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Hrach Karel, RNDr. Ph.D.
Course content
Lecture topics: 1. E-catalog of UJEP Science Library, Medvik Database, NursingOvid, SCOPUS, Web of Science (open access, impact factor). 2. Selected examples of clinical trials and studies. Questionnaires - standardized questionnaires, pilot survey. 3. Introduction to statistical surveys: Population and selection, statistical quantities, ways of their description. 4. Specific descriptive techniques (multiple responses, Likert scale, time series - morbidity indicators). 5. Introduction to data analysis: population parameters, Gaussian curve, statistical hypotheses, significance level. 6. Paired versus two-sample design, corresponding parametric statistical tests. 7. Statistical dependence testing, simple linear regression and correlation principle. Seminar topics: 1. Search in databases available at UJEP. 2. Clinicaltrials.gov. Excel - principles for translating questionnaires into electronic form. 3. Excel - frequencies, pivot table, bar and pie graph. 4. Excel - work with time series from IHIS database, standardization of indicators, line graph. 5. Excel - quantile and moment characteristics, boxplot. 6. Excel - paired and two-sample t-test (F-test). 7. Excel - chi-square independence test, linear regression.

Learning activities and teaching methods
unspecified
Learning outcomes
The subject focuses on a quantitative approach in research, specifically in the field of health care and with an emphasis on selected options of statistical processing of the information obtained. Learning outcomes of the course unit The aim of the subject is to provide students with practical instructions on how to proceed in processing the thesis.
Expertise: The student knows the basics of statistical description and analysis, knows the corresponding terminology. Professional skills: The student is able to collect statistical data, record it electronically and use computer-based elementary statistical methods. He / she is able to interpret the results, either by his / her own research or by his / her research.
Prerequisites
unspecified

Assessment methods and criteria
unspecified
Elaboration of the seminar work
Recommended literature
  • Clinicaltrials.gov: Databáze U. S. National Library of Medicine..
  • Medvik: https://www.medvik.cz/bmc..
  • SCOPUS: https://www.scopus.com.
  • Web of Science: https://webofknowledge.com.
  • HRACH, K., 2011. Základy biostatistiky s využitím Excelu. Ústí n. L.: UJEP. 48 s. ISBN 978-80-7414-398-4.. ISBN 978-80-7414-398-4.
  • JELÍNEK, M. et al. Jak psát závěrečné práce na FZS UJEP. Ústí n. L.: UJEP, 2018. 36 s. ISBN 978-80-7561-118-5.
  • WALKER, I. Výzkumné metody a statistika. Vyd. 1. Praha: Grada, 2013. 218 s. ISBN 978-80-247-3920-5.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Health Studies Study plan (Version): General Nurse (P19) Category: Health service 2 Recommended year of study:2, Recommended semester: Summer