Your Statistical Consultant
Answers to Your Data Analysis Questions
Second Edition
Rae R. Newton
- Fielding Graduate University, USA
Kjell Erik Rudestam
- Fielding Graduate University, USA
If you’re in the Americas, please visit our Sage College Publishing website to purchase or sample this book:
Go to College Publishing WebsiteDescription
How do you bridge the gap between what you learned in your statistics course and the questions you want to answer in your real-world research? Oriented towards distinct questions in a “How do I?” or “When should I?” format, Your Statistical Consultant is the equivalent of the expert colleague down the hall who fields questions about describing, explaining, and making recommendations regarding thorny or confusing statistical issues. The book serves as a compendium of statistical knowledge, both theoretical and applied, that addresses the questions most frequently asked by students, researchers and instructors. Written to be responsive to a wide range of inquiries and levels of expertise, the book is flexibly organized so readers can either read it sequentially or turn directly to the sections that correspond to their concerns.
Contents
Chapter 1. Getting Started With Statistical Analysis: Where Do I Obtain Data and How Do I Prepare Data for Statistical Analysis?
Chapter 1. Getting Started With Statistical Analysis: Where Do I Obtain Data and How Do I Prepare Data for Statistical Analysis?
Chapter 2. How Do I Examine Data Prior to Analysis?
Chapter 2. How Do I Examine Data Prior to Analysis?
Chapter 3. Traditional Approaches to Statistical Analysis and the Logic of Statistical Inference
Chapter 3. Traditional Approaches to Statistical Analysis and the Logic of Statistical Inference
Chapter 4. Rethinking Traditional Paradigms: Power, Effect Size, and Hypothesis Testing Alternatives
Chapter 4. Rethinking Traditional Paradigms: Power, Effect Size, and Hypothesis Testing Alternatives
Chapter 5. What Are the Assumptions of Statistical Testing?
Chapter 5. What Are the Assumptions of Statistical Testing?
Chapter 6. An Introduction to Statistical Models: Explaining Relationship Patterns
Chapter 6. An Introduction to Statistical Models: Explaining Relationship Patterns
Chapter 7. How Do I Select the Appropriate Statistical Test?
Chapter 7. How Do I Select the Appropriate Statistical Test?
Chapter 8. How Do I Deal With Non-Normality, Missing Values, and Outliers?
Chapter 8. How Do I Deal With Non-Normality, Missing Values, and Outliers?
Chapter 9. Types of Variables and Their Treatment in Statistical Analysis
Chapter 9. Types of Variables and Their Treatment in Statistical Analysis
Chapter 10. Questions about Analysis of Variance
Chapter 10. Questions about Analysis of Variance
Chapter 11. Questions abuot Multiple Regression Analysis
Chapter 11. Questions abuot Multiple Regression Analysis
Chapter 12. The Bigger Picture
Chapter 12. The Bigger Picture
Description
How do you bridge the gap between what you learned in your statistics course and the questions you want to answer in your real-world research? Oriented towards distinct questions in a “How do I?” or “When should I?” format, Your Statistical Consultant is the equivalent of the expert colleague down the hall who fields questions about describing, explaining, and making recommendations regarding thorny or confusing statistical issues. The book serves as a compendium of statistical knowledge, both theoretical and applied, that addresses the questions most frequently asked by students, researchers and instructors. Written to be responsive to a wide range of inquiries and levels of expertise, the book is flexibly organized so readers can either read it sequentially or turn directly to the sections that correspond to their concerns.
Contents
Chapter 1. Getting Started With Statistical Analysis: Where Do I Obtain Data and How Do I Prepare Data for Statistical Analysis?
Chapter 1. Getting Started With Statistical Analysis: Where Do I Obtain Data and How Do I Prepare Data for Statistical Analysis?
Chapter 2. How Do I Examine Data Prior to Analysis?
Chapter 2. How Do I Examine Data Prior to Analysis?
Chapter 3. Traditional Approaches to Statistical Analysis and the Logic of Statistical Inference
Chapter 3. Traditional Approaches to Statistical Analysis and the Logic of Statistical Inference
Chapter 4. Rethinking Traditional Paradigms: Power, Effect Size, and Hypothesis Testing Alternatives
Chapter 4. Rethinking Traditional Paradigms: Power, Effect Size, and Hypothesis Testing Alternatives
Chapter 5. What Are the Assumptions of Statistical Testing?
Chapter 5. What Are the Assumptions of Statistical Testing?
Chapter 6. An Introduction to Statistical Models: Explaining Relationship Patterns
Chapter 6. An Introduction to Statistical Models: Explaining Relationship Patterns
Chapter 7. How Do I Select the Appropriate Statistical Test?
Chapter 7. How Do I Select the Appropriate Statistical Test?
Chapter 8. How Do I Deal With Non-Normality, Missing Values, and Outliers?
Chapter 8. How Do I Deal With Non-Normality, Missing Values, and Outliers?
Chapter 9. Types of Variables and Their Treatment in Statistical Analysis
Chapter 9. Types of Variables and Their Treatment in Statistical Analysis
Chapter 10. Questions about Analysis of Variance
Chapter 10. Questions about Analysis of Variance
Chapter 11. Questions abuot Multiple Regression Analysis
Chapter 11. Questions abuot Multiple Regression Analysis
Chapter 12. The Bigger Picture
Chapter 12. The Bigger Picture
Reviews
Your Statistical Consultant
Answers to Your Data Analysis Questions
September 2012 | 384 pages | Sage US
| Format | Published Date | ISBN | Price |
|---|
How do you bridge the gap between what you learned in your statistics course and the questions you want to answer in your real-world research? Oriented towards distinct questions in a “How do I?” or “When should I?” format, Your Statistical Consultant is the equivalent of the expert colleague down the hall who fields questions about describing, explaining, and making recommendations regarding thorny or confusing statistical issues. The book serves as a compendium of statistical knowledge, both theoretical and applied, that addresses the questions most frequently asked by students, researchers and instructors. Written to be responsive to a wide range of inquiries and levels of expertise, the book is flexibly organized so readers can either read it sequentially or turn directly to the sections that correspond to their concerns.
Table Of Contents:
- Chapter 1. Getting Started With Statistical Analysis: Where Do I Obtain Data and How Do I Prepare Data for Statistical Analysis?
- Chapter 2. How Do I Examine Data Prior to Analysis?
- Chapter 3. Traditional Approaches to Statistical Analysis and the Logic of Statistical Inference
- Chapter 4. Rethinking Traditional Paradigms: Power, Effect Size, and Hypothesis Testing Alternatives
- Chapter 5. What Are the Assumptions of Statistical Testing?
- Chapter 6. An Introduction to Statistical Models: Explaining Relationship Patterns
- Chapter 7. How Do I Select the Appropriate Statistical Test?
- Chapter 8. How Do I Deal With Non-Normality, Missing Values, and Outliers?
- Chapter 9. Types of Variables and Their Treatment in Statistical Analysis
- Chapter 10. Questions about Analysis of Variance
- Chapter 11. Questions abuot Multiple Regression Analysis
- Chapter 12. The Bigger Picture
Recent Product Reviews:
It covers all the basics that we need to cover in the course and does so in an easy to read format.
Dr Shawn Bergman, Psychology Dept, Appalachian State University
it covers what i need to cover in the best manor, i am doing IT research and needed a text that could break down Quan research best.
Mr Arthur Salmon, Computing Info Technology Dept, Clg Of S Nevada-W Charleston
Ordered for Library.
Dr John Hedgcock, GSTILE, Monterey Institute of International Studies
This book is valuable for its interpretation of alternative approaches to traditional statistical inferences... The second edition is noticeably updated and clearly replaces the earlier 1999 publication... Just opening it gives a clear road map with key points in italics and key terms in boldface. The links to statistical websites are gems. This textbook supplement is ideal for advanced students, practitioners, and faculty in the social sciences. Summing Up: Highly recommended.
CHOICE
I will use it as a book to consult. Also, I will recommend to my students, specially those in dissertation.
Dr Ernesto Rosario-Hernandez, Psychology , Ponce School of Medicine