Objectives and competences
The aim of the study course is to train PhD students to explore research in a group and individually.
Planned competencies that will be earned PhD student in the course are:
• Critical analysis and evaluation of the scientific literature, of which the results could be implemented, or to solve or improve a problem in practice.
• Ability to formulate questions relevant in health care and related sciences; to develop an hypothesis; to find an appropriate method of research and to establish an appropriate research sample,
• Ability to get to the data and the results from the research; Ability to answer to scientific questions.
• Ability to properly resolve ethical dilemmas in research work.
Content (Syllabus outline)
• Critical analysis and evaluation of the scientific nursing literature, implementation of the results in practice.
• Assessment of the quality of the quantitative content (or a combination of quantitative and qualitative) of a published scientific paper.
• Fields of research in nursing.
• The choice of doing a quantitative research method or to combine with a qualitative method of research.
• Design of Research
• How to plan to conduct research, and what we need to be aware of.
• Selection of an appropriate method or various methods of research.
• Selection of a suitable research sample.
• How to know in which way to proceed with the research results.
• Ethics of research work.
Readings
Obvezna literatura:
• Polit, D., Beck, C.T., 2022 (ali starejša izdaja). Essentials of nursing research: appraising evidence for nursing practice. 10th ed. Philadelphia: Lippincott Williams & Wilkins.
• GOSAK, Lucija, CILAR BUDLER, Leona, WATSON, Roger and ŠTIGLIC, Gregor, 2024, Advanced Quantitative Research Methods in Nursing [online]. 2024. Maribor : University of Maribor, University Press. [Accessed 20 August 2024]. ISBN 978-961-286-888-8. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=89527
Priporočena literatura:
• Bruce, N., Pope, D., Stanistreet, D., 2018. Quantitative methods for health research : a practical interactive guide to epidemiology and statistics. 2nd ed. Hoboken; Chichester: Wiley.
• James, G., Witten, D., Hastie, T. and Tibshirani, R., 2017. An introduction to statistical learning (Vol. 112, p. 18). New York: springer.
• Wickham, H. and Grolemund, G., 2016. R for data science: import, tidy, transform, visualize, and model data. O'Reilly Media, Inc.
