Practical Statistics for Nursing Using SPSS

Herschel Knapp - Yeshiva University, USA
Practical Statistics for Nursing Using SPSS
April 2016 | 408 pages | Sage US
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Description

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.

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

Additional materials

Description

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.

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

Additional materials

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Practical Statistics for Nursing Using SPSS

Herschel Knapp
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April 2016 | 408 pages | Sage US

Format Published Date ISBN Price

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.


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

Recent Product Reviews:

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

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