Statistics and Data Analysis Literacy for Nurses

Doctor of Nursing Practice (DNP) prepared practitioners and leaders are charged with engaging in and leading innovative and evidence-based practice that is reflective of the application of credible research findings. These new doctoral practitioners and leaders confront clinical problems on a daily basis that require analysis and interventions using their knowledge and expertise in quality improvement and evidence. Statistical literacy is another essential skill set for doctoral level nurses as they evaluate evidence to tackle these significant clinical problems. Statistical acumen and confidence have evaded many nurses for multiple reasons requiring educators to find alternate ways to bridge this knowledge gap. This book fills a void and meets this need. Students and educators alike will benefit from its straightforward, pragmatic style in explaining applied statistical analysis. Chapters are replete with various quantitative methods including novel chapters on Visual Representation and Humility, and examples to assist the reader in understanding what is generally complex content. Drawing on the deep expertise of its authors, the book should become a go-to reference for anyone looking to gain knowledge in applied statistics. Rather than focus solely on mathematical statistics, this book's refreshing approach focuses on learning how to argue using research questions, methods, and aligned analyses. Well-written with a unique perspective, this book makes the case for placing the doctoral-level nurse in the mindset of being a good, applied statistician to refute incorrect claims and support claims with proper evidence.