Although many graduate students and researchers have had course work in statistics, they sometimes find themselves stumped in proceeding with a particular data analysis question. In fact, statistics is often taught as a lesson in mathematics as opposed to a strategy for answering questions about world[?], leaving beginning researchers at a loss for how to proceed. In these situations, it is common to turn to a statistical expert, the "go to" person when questions regarding appropriate data analysis emerge. Your Statistical Consultant is an authentic alternative resource for describing,…mehr
Although many graduate students and researchers have had course work in statistics, they sometimes find themselves stumped in proceeding with a particular data analysis question. In fact, statistics is often taught as a lesson in mathematics as opposed to a strategy for answering questions about world[?], leaving beginning researchers at a loss for how to proceed. In these situations, it is common to turn to a statistical expert, the "go to" person when questions regarding appropriate data analysis emerge. Your Statistical Consultant is an authentic alternative resource for describing, explaining, and making recommendations regarding thorny or confusing statistical issues. Written to be responsive to a wide range of inquiries and levels of expertise, this book is flexibly organized so readers can either read it sequentially or turn directly to the sections that correspond to their concerns and questions.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Rae R. Newton is Professor of Sociology Emeritus at California State University, Fullerton. He recently joined the faculty of the School of Psychology at Fielding Graduate University where he serves as a research consultant and statistical advisor to doctoral students and faculty. He received his PhD in sociology from the University of California, Santa Barbara, and completed postdoctoral training in mental health measurement at Indiana University. His primary interests include longitudinal modeling of outcomes for high risk youth and foster care populations, family violence and statistics education. He is author, with Kjell Erik Rudestam, of Your Statistical Consultant: Answers to Your Data Analysis Questions, now in its second edition and numerous articles in professional journals on topics including family violence, child maltreatment, and measurement. In semi-retirement he enjoys traveling with his wife in their RV and surfing throughout Mexico and Central America.
Inhaltsangabe
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
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
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