Title
Logistic Regression: From Introductory To Advanced Concepts And Applications
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In This Text, Author Scott Menard Provides Coverage Of Not Only The Basic Logistic Regression Model But Also Advanced Topics Found In No Other Logistic Regression Text. The Book Keeps Mathematical Notation To A Minimum, Making It Accessible To Those With More Limited Statistics Backgrounds, While Including Advanced Topics Of Interest To More Statistically Sophisticated Readers. Not Dependent On Any One Software Package, The Book Discusses Limitations To Existing Software Packages And Ways To Overcome Them.Key Features Examines The Logistic Regression Model In Detail Illustrates Concepts With Applied Examples To Help Readers Understand How Concepts Are Translated Into The Logistic Regression Model Helps Readers Make Decisions About The Criteria For Evaluating Logistic Regression Models Through Detailed Coverage Of How To Assess Overall Models And Individual Predictors For Categorical Dependent Variables Offers Unique Coverage Of Path Analysis With Logistic Regression That Shows Readers How To Examine Both Direct And Indirect Effects Using Logistic Regression Analysis Applies Logistic Regression Analysis To Longitudinal Panel Data, Helping Students Understand The Issues In Measuring Change With Dichotomous, Nominal, And Ordinal Dependent Variables Shows Readers How Multilevel Change Models With Logistic Regression Are Different From Multilevel Growth Curve Models For Continuous Interval Or Ratioscaled Dependent Variableslogistic Regression Is Intended For Courses Such As Regression And Correlation, Intermediate/Advanced Statistics, And Quantitative Methods Taught In Departments Throughout The Behavioral, Health, Mathematical, And Social Sciences, Including Applied Mathematics/Statistics, Biostatistics, Criminology/Criminal Justice, Education, Political Science, Public Health/Epidemiology, Psychology, And Sociology.
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This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
- Q: How many pages does this book have? A: This book has three hundred ninety-two pages. It's a comprehensive resource on logistic regression, covering both introductory and advanced topics.
- Q: What is the binding type of this book? A: This book is bound in hardcover. This makes it durable and suitable for extensive use in both academic and professional settings.
- Q: What are the dimensions of this book? A: The book measures seven point five two inches in length, one inch in width, and nine point two five inches in height. These dimensions make it a manageable size for reading and reference.
- Q: Who is the author of this book? A: The author of this book is Scott Menard. He provides valuable insights into logistic regression from both introductory and advanced perspectives.
- Q: What category does this book fall under? A: This book is categorized under Probability and Statistics. It is particularly useful for those studying these subjects in various social science fields.
- Q: How do I use this book for studying? A: You can use this book as a primary textbook for courses in Regression and Correlation, Intermediate Statistics, or Quantitative Methods. It is structured to help readers grasp essential concepts through applied examples.
- Q: Is this book suitable for beginners? A: Yes, this book is suitable for beginners. It minimizes mathematical notation, making it accessible for those with limited statistics backgrounds.
- Q: Can advanced readers benefit from this book? A: Yes, advanced readers can benefit from this book. It includes unique coverage of advanced topics in logistic regression that are not found in other texts.
- Q: What is the target audience for this book? A: The target audience includes students and professionals in fields like psychology, sociology, and public health. It is designed for those needing a deeper understanding of logistic regression.
- Q: How should I store this book? A: Store this book in a cool, dry place to maintain its condition. Keeping it upright on a shelf can prevent damage to the spine.
- Q: Is there any special care required for this book? A: No special care is required for this book. Regular dusting and avoiding exposure to moisture will help keep it in good condition.
- Q: What if the book arrives damaged? A: If the book arrives damaged, you should contact the seller for return options. Most sellers offer a return policy for defective items.
- Q: Can I find examples in this book? A: Yes, the book includes applied examples. These examples help readers understand how logistic regression concepts are translated into practice.
- Q: Does this book cover software limitations? A: Yes, the book discusses limitations of existing software packages. It also offers solutions to overcome these limitations in logistic regression analysis.
- Q: Is path analysis with logistic regression included? A: Yes, path analysis with logistic regression is included. This section shows how to examine both direct and indirect effects using logistic regression.
- Q: How is this book useful for longitudinal data? A: This book applies logistic regression analysis to longitudinal panel data. It helps students understand the complexities of measuring change with various types of dependent variables.