Intermediate Statistics Using SPSS
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Intermediate Statistics Using SPSS

Intermediate Statistics Using SPSS


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About the Book

What statistical test should I use for this kind of data? How do I set up the data? What parameters should I specify when ordering the test? How do I interpret the results?   Herschel Knapp′s friendly and approachable guide to real-world statistics answers these questions. Intermediate Statistics Using SPSS is not about abstract statistical theory or the derivation or memorization of statistical formulas–it is about applied statistics. With jargon-free language and clear processing instructions, this text covers the most common statistical functions–from basic to more advanced. Practical exercises at the conclusion of each chapter offer students an opportunity to process viable data sets, write cohesive abstracts in APA style, and build a thorough comprehension of the statistical process. Students will learn by doing with this truly practical approach to statistics.

Table of Contents:
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

About the Author :
Herschel Knapp, PhD, 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).

Review :
"Knapp’s straightforward approach toward presenting the set-up of various SPSS® 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." "Knapp′s text is a wonderful resource to keep students afloat while navigating the turbulent statistical waves of indecision and bewilderment." "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®." "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." "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."


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Product Details
  • ISBN-13: 9781506377421
  • Publisher: SAGE Publications Inc
  • Publisher Imprint: SAGE Publications Inc
  • Language: English
  • ISBN-10: 1506377424
  • Publisher Date: 14 Sep 2017
  • Binding: Digital download and online
  • No of Pages: 480


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