“Statistics for Nursing Research” is a textbook designed to provide nursing students and professionals with the foundational knowledge and skills needed to understand and apply statistical methods in nursing research. The book covers a range of topics, including probability, hypothesis testing, descriptive and inferential statistics, correlation, regression, and analysis of variance. It also covers the use of statistical software packages such as SPSS and Excel.
The purpose of this textbook is to prepare nursing professionals to use research evidence in clinical decision making. By understanding and applying statistical methods, nurses can critically evaluate research studies, make evidence-based practice decisions, and conduct their research studies.
The book is organized into three main sections. The first section provides an introduction to the basic concepts and principles of statistics, such as data collection, measures of central tendency and variability, and probability. The second section covers the different types of statistical analyses, including hypothesis testing, correlation and regression, and analysis of variance. The third section focuses on the application of statistical methods in nursing research, including the design of research studies, data analysis, and interpretation of results.
The authors use a practical and easy-to-understand approach to present statistical concepts and methods. The textbook includes numerous examples, case studies, and exercises to help students understand and apply statistical methods in nursing research. Additionally, the book provides a glossary of statistical terms and a list of recommended readings to further enhance learning.
Overall, “Statistics for Nursing Research” is an essential resource for nursing students and professionals who want to understand and apply statistical methods in nursing research. The book provides a comprehensive and practical approach to statistical analysis, making it a valuable reference for nurses in clinical and research settings.