Introductory Statistics Using SPSS / Edition 2

by Herschel Knapp

Overview

The updated Second Edition of Herschel Knapp’s friendly and practical introduction to statistics shows students how to properly select, process, and interpret statistics without heavy emphasis on theory, formula derivations, or abstract mathematical concepts. Each chapter is structured to answer questions that students most want answered: 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? Online tutorial videos, examples, screenshots, and intuitive illustrations help students "get the story" from their data as they learn by doing, completing practice exercises at the end of each chapter using prepared downloadable data sets.

Product Details

ISBN-13:	9781506341002
Publisher:	SAGE Publications
Publication date:	11/02/2016
Edition description:	Second Edition
Pages:	312
Product dimensions:	7.30(w) x 9.10(h) x 0.80(d)

About the Author

Herschel Knapp, Ph D, MSSW, has more than 25 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 implementations designed to improve the quality of patient care via multisite, health science implementations. He teaches master’s-level courses at the University of Southern California; he has also taught at the University of California, Los Angeles and California State University, Los Angeles. 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, utilizing 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 is currently leading a nurse research mentorship program and providing research and analytic services to promote excellence within a health care system. The author of numerous articles in peer-reviewed health science journals, he is also the author of other textbooks, including 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).

Table of Contents

Preface
Acknowledgments
About the Author
PART I: STATISTICAL PRINCIPLES
1. Research Principles
Learning Objectives
Overview—Research Principles
Rationale for Statistics
Research Questions
Treatment and Control Groups
Rationale for Random Assignment
Hypothesis Formulation
Reading Statistical Outcomes
Accept or Reject Hypotheses
Variable Types and Levels of Measure
Continuous
Interval
Ratio
Categorical
Nominal
Ordinal
Good Common Sense
Key Concepts
Practice Exercises
2. Sampling
Learning Objectives
Overview—Sampling
Rationale for Sampling
Time
Cost
Feasibility
Extrapolation
Sampling Terminology
Population
Sample Frame
Sample
Representative Sample
Probability Sampling
Simple Random Sampling
Stratified Sampling
Proportionate and Disproportionate Sampling
Systematic Sampling
Area Sampling
Nonprobability Sampling
Convenience Sampling
Purposive Sampling
Quota Sampling
Snowball Sampling
Sampling Bias
Optimal Sample Size
Good Common Sense
Key Concepts
Practice Exercises
3. Working in SPSS
Learning Objectives
Video
Overview—SPSS
Two Views: Variable View and Data View
Variable View
Name
Type
Width
Decimals
Label
Values
Missing
Columns
Align
Measure
Role
Data View
Value Labels Icon
Codebook
Saving Data Files
Good Common Sense
Key Concepts
Practice Exercises
PART II: STATISTICAL PROCESSES
4. Descriptive Statistics
Learning Objectives
Videos
Overview—Descriptive Statistics
Descriptive Statistics
Number (n)
Mean (µ)
Median
Mode
Standard Deviation (SD)
Variance
Minimum
Maximum
Range
SPSS—Loading an SPSS Data File
Run SPSS
Data Set
Test Run
SPSS—Descriptive Statistics: Continuous Variables (age)
Statistics Tables
Histogram With Normal Curve
Skewed Distribution
SPSS—Descriptive Statistics: Categorical Variables (gender)
Statistics Tables
Bar Chart
SPSS—Descriptive Statistics: Continuous Variable (age) Select by Categorical Variable (gender)—Female or Male Only
SPSS—(Re)Selecting All Variables
Good Common Sense
Key Concepts
Practice Exercises
5. t Test and Mann-Whitney U Test
Learning Objectives
Videos
Overview—t Test
Example
Research Question
Groups
Procedure
Hypotheses
Data Set
Pretest Checklist
Pretest Checklist Criterion 1—Normality
Pretest Checklist Criterion 2—n Quota
Pretest Checklist Criterion 3—Homogeneity of Variance
Test Run
Results
Pretest Checklist Criterion 2—n Quota
Pretest Checklist Criterion 3—Homogeneity of Variance
p Value
Hypothesis Resolution
a Level
Documenting Results
Type I and Type II Errors
Type I Error
Type II Error
Overview—Mann-Whitney U Test
Test Run
Results
Good Common Sense
Key Concepts
Practice Exercises
6. ANOVA and Kruskal-Wallis Test
Learning Objectives
Videos
Layered Learning
Overview—ANOVA
Example
Research Question
Groups
Procedure
Hypotheses
Data Set
Pretest Checklist
Pretest Checklist Criterion 1—Normality
Pretest Checklist Criterion 2—n Quota
Pretest Checklist Criterion 3—Homogeneity of Variance
Test Run
Results
Pretest Checklist Criterion 2—n Quota
Pretest Checklist Criterion 3—Homogeneity of Variance
Comparison 1—Text : Text With Illustrations
Comparison 2—Text : Video
Comparison 3—Text With Illustrations : Video
Hypothesis Resolution
Documenting Results
Overview—Kruskal-Wallis Test
Test Run
Results
Good Common Sense
Key Concepts
Practice Exercises
7. Paired t Test and Wilcoxon Test
Learning Objectives
Videos
Overview—Paired t Test
Pretest/Posttest Design
Step 1: Pretest
Step 2: Treatment
Step 3: Posttest
Example
Research Question
Groups
Procedure
Step 1: Pretest
Step 2: Treatment
Step 3: Posttest
Hypotheses
Data Set
Pretest Checklist
Pretest Checklist Criterion 1—Normality of Difference
Test Run
Results
Hypothesis Resolution
Documenting Results
Δ% Formula
Overview—Wilcoxon Test
Test Run
Results
Good Common Sense
Key Concepts
Practice Exercises
8. Correlation and Regression—Pearson and Spearman
Learning Objectives
Videos
Overview—Pearson Correlation
Example 1—Pearson Regression
Research Question
Groups
Procedure
Hypotheses
Data Set
Pretest Checklist
Pretest Checklist Criterion 1—Normality
Test Run
Correlation
Regression (Scatterplot With Regression Line)
Results
Scatterplot Points
Scatterplot Regression Line
Pretest Checklist Criterion 2—Linearity
Pretest Checklist Criterion 3—Homoscedasticity
Correlation
Hypothesis Resolution
Documenting Results
Negative Correlation
No Correlation
Overview—Spearman Correlation
Example 2—Spearman Correlation
Research Question
Groups
Procedure
Hypotheses
Data Set
Pretest Checklist
Test Run
Results
Hypothesis Resolution
Documenting Results
Alternative Use for Spearman Correlation
Correlation Versus Causation
Overview—Other Types of Statistical Regression: Multiple Regression and Logistic Regression
Multiple Regression (R2)
Logistic Regression
Good Common Sense
Key Concepts
Practice Exercises
9. Chi-Square
Learning Objectives
Video
Overview—Chi-Square
Example
Research Question
Groups
Procedure
Hypotheses
Data Set
Pretest Checklist
Pretest Checklist Criterion 1—n = 5 per Cell
Test Run
Results
Pretest Checklist Criterion 1—n = 5 per Cell
Hypothesis Resolution
Documenting Results
Good Common Sense
Key Concepts
Practice Exercises
PART III: DATA HANDLING
10. Supplemental SPSS Operations
Learning Objectives
Data Sets
Overview—Supplemental SPSS Operations
Generating Random Numbers
Sort Cases
Data Set
Select Cases
Data Set
Recoding
Data Set
Importing Data
Importing Excel Data
Data Set
Importing ASCII Data (Generic Text File)
Data Set
SPSS Syntax
Data Set
Data Sets
Good Common Sense
Key Concepts
Practice Exercises
Glossary
Index

Editorial Reviews

"This student-friendly text, coupled with an ample number of practice exercises and instructional videos for each chapter, provided my students with the resources to become proficient in using SPSS to perform and interpret the statistical analyses covered in the course. In addition, this text emphasizes and models the written communication of results and conclusions derived from research."

Linda Ritchie

I find the videos extremely helpful. Of particular note was the pre-test checklist. This list helps students to understand what criteria need to be met for the test to be used. The directions provided are incredibly detailed and provide ample guidance to students with limited computer skills….Overall, I found this book to be the best of those that I have used or reviewed.

Christopher Salvatore

This is one of the best introductory SPSS texts on the market. It is easy to read, clear, concise and does not overwhelm the reader with abstract statistical theory. The exercises and examples are good and will be really useful both in class and for homework assignments. The online resources are a great addition and really help in understanding the material in the text.

Barbra Teater

I think that this is a very useful, and more appropriately a very user-friendly way of presenting statistics to folks that are not particularly interested in learning every nuance of statistics.”

Ellen P. Mc Cann
George Mason University

“It follows closely the approach I take to teaching statistics: half the time spent in the classroom teaching concepts and half time in the computer lab applying those concepts to the statistical analysis of a dataset using SPSS. Since our students have only one semester to learn statistics at the undergraduate level, I place less emphasis on formulae and more on applying the concepts and interpreting output.”

Holly Johnson
University of Ottawa

“A textbook like this is exactly what we need. Our class focuses on the application of statistics concepts/procedures using SPSS.”

Dazhi Yang
Boise State University

“For me, the most impressive aspect of the text is the accompanying features. In particular, the online tutorials are great. They are potentially useful inside and outside of the classroom. I believe that if students simply know that they have a website to go to for assistance, much of the apprehension that goes along with learning a new data analysis program will be eradicated.”

Matthew Costello
University of Nebraska – Lincoln

“This textbook is comprehensive in helping students grasps the importance of understanding how to conduct the appropriate statistical tests with different variables (continuous or categorical), levels of measurement, and nature of data (normal vs. skewed) using SPSS. Each chapter has numerous practice questions for students to hone their practice skills using SPSS. The audio visual links are added bonus to this book as students can return to the recorded information on conducting certain statistical analyses.”

Martha Vungkhanching
California State University-Fresno

USEditorial Reviews

“I think that this is a very useful, and more appropriately a very user-friendly way of presenting statistics to folks that are not particularly interested in learning every nuance of statistics.”

Ellen P. McCann

George Mason University

---

“It follows closely the approach I take to teaching statistics: half the time spent in the classroom teaching concepts and half time in the computer lab applying those concepts to the statistical analysis of a dataset using SPSS. Since our students have only one semester to learn statistics at the undergraduate level, I place less emphasis on formulae and more on applying the concepts and interpreting output.”

Holly Johnson

University of Ottawa

---

“A textbook like this is exactly what we need. Our class focuses on the application of statistics concepts/procedures using SPSS.”

Dazhi Yang

Boise State University

---

“For me, the most impressive aspect of the text is the accompanying features. In particular, the online tutorials are great. They are potentially useful inside and outside of the classroom. I believe that if students simply know that they have a website to go to for assistance, much of the apprehension that goes along with learning a new data analysis program will be eradicated.”

Matthew Costello

University of Nebraska – Lincoln

---

“This textbook is comprehensive in helping students grasps the importance of understanding how to conduct the appropriate statistical tests with different variables (continuous or categorical), levels of measurement, and nature of data (normal vs. skewed) using SPSS. Each chapter has numerous practice questions for students to hone their practice skills using SPSS. The audio visual links are added bonus to this book as students can return to the recorded information on conducting certain statistical analyses.”

Martha Vungkhanching

California State University-Fresno

USEditorialReviews