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Practical Statistics for Nursing Using SPSS
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Practical Statistics for Nursing Using SPSS

April 2016 | 408 pages | SAGE Publications, Inc
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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 at study.sagepub.com/statsfornursing 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.
 
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

 

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.

Heather Carter-Templeton
The University of Alabama

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.

Jennell P. Charles
Clayton State University, College of Health, School of Nursing

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.

Daniel Rodriguez
La Salle University
Key features

KEY FEATURES:

  •  Downloadable tutorial videos show an expert operating SPSS while explaining each processing step.
  • A reader-friendly style invites students to learn intricate concepts through straightforward explanations that facilitate independent comprehension and reduce frustration.
  • Visual aids, such as cartoons, graphics, and SPSS screenshots, accompany each concept to enhance understanding.
  • A single nursing-related example in each statistical chapter illustrates the process from beginning to end and includes access to the example data sets for students to process in SPSS as they advance through each chapter.
  • Exercises comprised of realistic vignettes with prepared data sets enable students to achieve mastery by actually running analyses and documenting the findings.
  • Guidance on using SPSS to accomplish some of the most common data processing tasks is provided in Chapter 14, including how to generate random numbers, sort and select cases, recode variables to facilitate more versatile processing, import non-SPSS data (comma and tab delimited ASCII text files, and Excel worksheets), and practice appropriate secured data storage protocols.

Sample Materials & Chapters

Chapter 6

Chapter 13

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