Intermediate Statistics Using SPSS

Herschel Knapp, PhD, 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).

Preface Acknowledgments About the Author PART I: STATISTICAL FUNDAMENTALS 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/Reject Hypotheses Variable Types/Levels of Measure Good Common Sense Key Concepts Practice Exercises 2. Working in SPSS Learning Objectives Video Overview-SPSS Two Views: Variable View and Data View Saving Data Files Good Common Sense Key Concepts Practice Exercises PART II: SUMMARIZING VARIABLES 3. Descriptive Statistics Learning Objectives When to Use This Statistic Videos Overview-Descriptive Statistics Descriptive Statistics SPSS-Loading an SPSS Data File Data Set Test Run SPSS-Descriptive Statistics: Continuous Variables (Age) SPSS-Descriptive Statistics: Categorical Variables (Gender) SPSS-Descriptive Statistics: Continuous Variables (Age) Select by Categorical Variable (Gender)-Females Only SPSS-(Re)Selecting All Variables Good Common Sense Key Concepts Practice Exercises PART III: MEASURING DIFFERENCES BETWEEN GROUPS 4. t Test and Mann-Whitney U Test Learning Objectives When to Use This Statistic Videos Overview-t Test Overview-Mann-Whitney U Test Good Common Sense Key Concepts Practice Exercises 5. ANOVA and Kruskal-Wallis Test Learning Objectives When to Use this Statistic Videos Layered Learning Overview-ANOVA Overview-Kruskal-Wallis Test Good Common Sense Key Concepts Practice Exercises 6. ANCOVA Learning Objectives When to Use This Statistic Video Layered Learning Overview-ANCOVA Groups Procedure Hypotheses Data Set Pretest Checklist Test Run Results Hypothesis Resolution Abstract Good Common Sense Key Concepts Practice Exercises 7. MANOVA Learning Objectives When to Use This Statistic Video Layered Learning Overview-MANOVA Groups Procedure Hypotheses Data Set Pretest Checklist Test Run Results Hypothesis Resolution Abstract Good Common Sense Key Concepts Practice Exercises PART IV: MEASURING DIFFERENCES OVER TIME 8. Paired t Test and Wilcoxon Test Learning Objectives When to Use This Statistic Videos Overview-Paired t Test Overview-Wilcoxon Test Good Common Sense Key Concepts Practice Exercises 9. ANOVA Repeated Measures Learning Objectives When to Use This Statistic Video Layered Learning Overview-ANOVA Repeated Measures Variations on Longitudinal Design Good Common Sense Key Concepts Practice Exercises PART V: MEASURING RELATIONSHIP BETWEEN VARIABLES 10. Chi-Square Learning Objectives When to Use This Statistic Video Overview-Chi-Square Good Common Sense Key Concepts Practice Exercises 11. Correlation and Regression: Pearson and Spearman Learning Objectives When to Use this Statistic Tutorial Videos Overview-Pearson Correlation Groups Overview-Spearman Correlation Alternate Use for Spearman Correlation Good Common Sense Key Concepts Practice Exercises 12. Multiple Regression Learning Objectives When to Use This Statistic Video Overview-Multiple Regression Supplemental Processing Methods Good Common Sense Key Concepts Practice Exercises 13. Logistic Regression Learning Objectives When to Use This Statistic Video Overview-Logistic Regression Good Common Sense Key Concepts Practice Exercises PART VI: DATA HANDLING 14. Supplemental SPSS Operations Learning Objectives Overview-Supplemental SPSS Operations Creating Dummy Variables Using Syntax Data Sets Good Common Sense Key Concepts Practice Exercises Glossary Index

"Knapp's straightforward approach toward presenting the set-up of various SPSS (R) statistical analyses and the interpretation of their produced output in easy-to-follow steps make this a must-have addition to the home library of novice and seasoned researchers alike." -- Joshua C. Watson "Knapp's text is a wonderful resource to keep students afloat while navigating the turbulent statistical waves of indecision and bewilderment." -- John Hazy "This is a fantastic resource for figuring out when to use which statistical procedure and provides step-by-step instructions for running the procedure within SPSS (R)." -- Kay Davis "Intermediate Statistics using SPSS provides readers with both a gentle introduction to statistical application using the IBM SPSS software package and a down-to-earth illustration of relevant concepts." -- Maxwell Hsu "This book builds on the style used by Andy Field and is written in a manner that is accessible and enjoyable to today's student. I expect that the text will be adopted across the social and behavioral sciences for use in introduction to statistics courses at the doctoral level." -- David Okech