Practical Statistics for Nursing Using SPSS

A friendly and approachable guide to real-world statistics, Practical Statistics for Nursing Using SPSS® covers the most common statistical functions in nursing science using plain language. Students learn by doing, and an emphasis on this practical approach is seen throughout the book with each chapter structured to answer key questions: What statistical test should I use for this situation? How do I set up the data? How do I run the test? How do I interpret and document the results? Practice exercises include a vignette, codebook, and data sets ready for processing, enabling students to achieve mastery by carrying out actual statistical analyses. Online resources for students are available and include data sets for examples and exercises, fully developed solutions to all odd-numbered exercises, and thorough tutorial videos providing an overview of each statistical method, step-by-step guidance on SPSS® processing, and interpretation of results. Online resources for instructors include Microsoft® PowerPoint® slides for each chapter and solutions to all exercises.

Table of Contents:
Part I: Statistical Principles 1. Research Principles Learning Objectives Research Questions Control and Experimental Groups Rationale for Random Assignment Hypothesis Formulation Reading Statistical Outcomes Accept/Reject Hypotheses Variable Types/Levels of Measure Good Common Sense Key Concepts Practice Exercises Chapter 2 Samplng Learning Objectives Overview - Sampling Rationale for Sampling Sampling Terminology Representative Sample Probability Sampling Nonprobability Sampling Sampling Bias Optimal Sample Size Good Common Sense Key Concepts Practice Exercises 3. Working in SPSS Learning Objectives Overview - SPSS Two Views: Variable View and Data View Good Common Sense Key Concepts Practice Exercises Part II: Summarizing Variables 4. Descriptive Statistics Learning Objectives Overview - Descriptive Statistics Descriptive Statistics SPSS - Loading SPSS Data Files SPSS - Descriptive Statistics: Continuous Variables (Age) SPSS - Descriptive Statistics: Categorical Variables (Gender) SPSS - Descriptive Statistics: Continuous Variable (Age) Select by Categorical Variable (Gender) SPSS - (Re)Selecting All Variables Good Common Sense Key Concepts Practice Exercises Part III: Measuring Differences Between Groups 5. t Test and Mann-Whitney U Test Learning Objectives Overview - t-Test Overview - Mann-Whitney U-Test Good Common Sense Key Concepts Practice Exercises 6. ANOVA and Kruskal-Wallis Test Learning Objectives Overview - ANOVA Overview - Kruskal-Wallis Test Good Common Sense Key Concepts Practice Exercises 7. ANCOVA Learning Objectives Overview - ANCOVA Good Common Sense Key Concepts Practice Exercises 8. MANOVA Learning Objectives Overview - MANOVA Good Common Sense Key Concepts Practice Exercises Part IV - Measuring Differences Over Time 9. Paired t-Test and Wilcoxon Test Learning Objectives Overview - Paired t-Test Overview - Wilcoxon Test Good Common Sense Key Concepts Practice Exercises 10. ANOVA Repeated Measures Learning Objectives Overview - ANOVA Repeated Measures Variations of Longitudinal Design Good Common Sense Key Concepts Practice Exercises Part V - Measuring Relationships Between Variables 11. Correlation and Regression Learning Objectives Overview - Pearson Correlation Overview - Spearman Correlation Good Common Sense Key Concepts Practice Exercises 12. Chi-Square Learning Objectives Overview - Chi-Square Good Common Sense Key Concepts Practice Exercises 13. Logistic Regression Learning Objectives Overview - Logistic Regression Good Common Sense Key Concepts Practice Exercises Part VI - Data Handling 14. Supplemental SPSS Operations Learning Objectives Overview - Supplemental SPSS Operations Good Common Sense Key Concepts Practice Exercises

About the Author :
Herschel Knapp, PhD, MSSW, has more than 30 years of experience as a health care professional in a variety of domains. In addition to his clinical work as a psychotherapist, primarily in hospital set­tings, he has provided project management for innovative interventions designed to improve the quality of patient care via multisite, health science implementations. He teaches master’s and doctoral courses at Yeshiva University; he has also taught at the University of California, Los Angeles, University of Southern California, California State University, Los Angeles, and California State, San Bernardino.  Dr. Knapp has served as the lead statistician on a lon­gitudinal cancer research project and managed the program evaluation metrics for a multisite, nonprofit children’s center. His clinical work includes emergency/trauma therapy in hospital settings. Dr. Knapp has developed and implemented innovative tele­health systems, using videoconferencing technology to facilitate optimal health care service delivery to remote patients and to coordinate specialty consultations among health care providers, including interventions to diagnose and treat people with HIV and hepatitis, with special outreach to the homeless. He created and implemented a nurse research mentorship program, providing research and analytic education, enabling nurses to design, implement, analyze, and publish the results of their quality improvement projects. Dr. Knapp has published numerous articles in peer-reviewed health science journals and serves as a peer-reviewer for more than 20 science journals. He is also the author of other textbooks, including Intermediate Statistics Using SPSS (2018), Introductory Statistics Using SPSS (2nd ed., 2017), Practical Statistics for Nursing Using SPSS (2017), Therapeutic Communication: Developing Professional Skills (2nd ed., 2014), and Introduction to Social Work Practice: A Practical Workbook (2010).

Review :
I would highly recommend this text to anyone – students or faculty - with questions about statistics or SPSS. The brilliance of this text is its straight forward prose. Herschel Knapp does a fantastic job of articulating what one needs to know about specific statistical tests and how to effectively use SPSS to analyze data. The brilliance of this text is its straight forward prose. The new textbook by Herschel Knapp, Practical Statistics for Nursing Using SPSS, is a useful text to supplement a basic research textbook for students being introduced to the research process. It provides a clear and concise explanation of commonly used statistical tests and builds skills related to the use of SPSS. This book is a very simple introduction into statistics. The author provides many very useful examples to help students comprehend difficult analyses. The SPSS examples and visuals are superior, as are the exercise at the end of the chapter.