Advanced Quantitative Research Methods in Nursing

Lucija Gosak; Leona Cilar Budler; Roger Watson; Gregor Štiglic

doi:10.18690/um.fzv.2.2024

Authors

Lucija Gosak

University of Maribor, Faculty of Health Sciences

https://orcid.org/0000-0002-8742-6594

Leona Cilar Budler

University of Maribor, Faculty of Health Sciences

https://orcid.org/0000-0002-6842-7751

Roger Watson

University of Hull, Faculty of Health Sciences

https://orcid.org/0000-0001-8040-7625

Gregor Štiglic

University of Maribor, Faculty of Health Sciences

https://orcid.org/0000-0002-0183-8679

DOI: https://doi.org/10.18690/um.fzv.2.2024

Keywords:

quantitative analysis, statistics, IBM SPSS, reliability, validity, data analysis

Synopsis

The publication "Analysis of quantitative research data in nursing research: A guide to SPSS" provides nursing students and nurses with the knowledge and skills to interpret the different statistical methods in their field, which can improve users' skills in collecting, analysing and interpreting results from clinical practice, thus contributing to improving the quality of health care. It provides detailed instructions on how to use IBM SPSS and perform statistical analyses that nurses need to be familiar with as they use and generate data in their daily work with patients. The main aim of patient care is to provide high quality, evidence-based care, so nurses have a duty to keep up to date with the latest research and evidence and apply it to their work. The knowledge gained in this book can also help nurses to better understand and interpret previously published results, and thus critically assess the validity and reliability of the results they will use in clinical practice.

Author Biographies

Lucija Gosak, University of Maribor, Faculty of Health Sciences

Lucija Gosak, Assistant and researcher at the University of Maribor, Faculty of Health Sciences, is also a PhD student in Nursing Care. She is currently working on integrating mobile health into the care of patients with chronic diseases. Her work also covers evidence based nursing, statistical analysis of data and artificial intelligence in nursing and education. She has been actively involved in international projects: Erasmus+ project T4H and Digital toolbox for innovation in nursing education (I-BOX); Improving interpretability and performance of risk prediction models for decision support in clinical environments (ARRS FWO); EU4Health project The Dynamic Digital Resilience for Medical and Allied Professions in Health Services (DDS-MAP).

Maribor, Slovenia. E-mail: lucija.gosak2@um.si

Leona Cilar Budler , University of Maribor, Faculty of Health Sciences

Leona Cilar Budler is a Teaching Assistant and Researcher in Nursing at the University of Maribor Faculty of Health Sciences and has a PhD in Nursing Care. Her research interest is adolescent mental health in conjunction with support for the wider social environment. As part of her PhD, she is engaged in psychometric testing of questionnaires that will be used in the research. There is also a strong emphasis on quantitative data analysis, as the doctoral thesis is largely based on the quantitative part of the research. She has also participated in numerous national and international nursing research projects in her research work.

Maribor, Slovenia. E-mail: leona.cilar1@um.si

Roger Watson, University of Hull, Faculty of Health Sciences

Roger Watson is a graduate of The University of Edinburgh with a PhD in biochemistry from The University of Sheffield who qualified in nursing at St George’s Hospital, London. Working in care of older people, he has a special interest in the feeding and nutritional problems of older people with dementia. He has been a leading proponent of the use of Mokken scaling in questionnaire development. He is Editor-in-Chief of Nurse Education in Practice. A frequent visitor to the Far East, South East Asia and Australia, he has held honorary and visiting positions in China, Hong Kong, and Australia. He was a member of the UK 2008 Research Assessment sub-panel for Nursing and Midwifery and the 2014 Research Excellence Framework sub-panel for Allied Health Professions, Dentistry, Nursing and Pharmacy. Most recently he was Professor of Nursing at the University of Hull.

Hull, United Kingdom of Great Britain and Northern Ireland. E-mail: rwatson1955@gmail.com

Gregor Štiglic, University of Maribor, Faculty of Health Sciences

Gregor Štiglic is Professor and Vice Dean for Research at the University of Maribor, Faculty of Health Sciences. He has worked on numerous national and international projects in the field of bioinformatics and informatics in health care and on projects related to the introduction of new pedagogical approaches and technologies in health education. Gregor was invited speaker at renowned research institutions such as IBM Watson Research Center, Stanford University, University of Manchester and University of Tokyo. He is currently serving as an associate editor of Artificial Intelligence in Medicine (Elsevier) and Big Data (Mary Ann Liebert), editorial board member of BMC Medical Informatics and Decision Making (Nature Springer), PLoS ONE (Public Library of Science) and Journal of Healthcare Informatics Research (Nature Springer).

Maribor, Slovenia. E-mail: gregor.stiglic@um.si

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Advanced Quantitative Research Methods in Nursing

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