Download Statistics and Data Analysis for Nursing Research (2nd Edition) written by Denise F. Polit in PDF format. This book is under the category Nursing and bearing the isbn/isbn13 number 1292027819/9781292027814. You may reffer the table below for additional details of the book. p>
Description
Statistics and Data Analysis for Nursing Research (2nd Edition) by Denise F. Polit is a comprehensive and essential resource for nurses and healthcare professionals interested in understanding and utilizing statistical methods in their research. This book provides a practical and accessible approach to statistics, making it suitable for both novice and experienced researchers in the field of nursing.
The author, Denise F. Polit, is a renowned nursing researcher and educator with extensive experience in quantitative research methods. Her expertise shines through in this book, as she presents complex statistical concepts in a clear and concise manner, ensuring that readers can grasp the material without feeling overwhelmed.
The book begins with an introduction to the importance of statistics in nursing research, emphasizing the role of statistics in evidence-based practice. Polit highlights the significance of statistical analysis in generating valid and reliable research findings, which can ultimately improve patient care and outcomes. This introduction sets the stage for the subsequent chapters, providing a solid foundation for readers to understand the relevance and application of statistics in nursing research.
One of the strengths of this book is its organization and structure. The chapters are logically arranged, guiding readers through the statistical process step-by-step. Each chapter builds upon the previous one, allowing readers to gradually develop their statistical knowledge and skills. The book covers a wide range of topics, including data collection, descriptive statistics, probability, hypothesis testing, correlation, regression, and more. Polit ensures that readers have a comprehensive understanding of these concepts, providing numerous examples and exercises to reinforce learning.
One notable feature of this book is its emphasis on the application of statistics in nursing research. Polit recognizes that nurses and healthcare professionals often struggle with the practical aspects of statistical analysis. To address this, she provides real-world examples and case studies that are specific to nursing research. These examples help readers to connect statistical concepts to their own research projects, making the material more relatable and applicable.
Another strength of this book is its attention to detail and accuracy. Polit takes great care in explaining statistical formulas and calculations, ensuring that readers understand the underlying principles. The book also includes clear and concise explanations of statistical software, such as SPSS, which is commonly used in nursing research. This practical guidance enables readers to apply statistical techniques using software tools, further enhancing their ability to conduct rigorous and valid research.
In addition to its comprehensive coverage of statistical methods, this book also addresses ethical considerations in nursing research. Polit highlights the importance of ethical conduct in data collection and analysis, emphasizing the need for privacy, confidentiality, and informed consent. This ethical framework is essential for nurses and healthcare professionals to uphold the highest standards of research integrity.
Overall, Statistics and Data Analysis for Nursing Research (2nd Edition) by Denise F. Polit is an invaluable resource for nurses and healthcare professionals interested in conducting research. The book provides a solid foundation in statistical methods, guiding readers through the entire research process. Polit’s expertise and practical approach make this book accessible and engaging, ensuring that readers can confidently apply statistical analysis to their own research projects. Whether you are a novice researcher or an experienced professional, this book is an essential tool for enhancing your understanding of statistics in nursing research.