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® Power Point® slides for each chapter and solutions to all exercises.
Tabella dei contenuti
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
Circa l’autore
Herschel Knapp, Ph D, 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).