Title
Quantitative Social Science: An Introduction
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An Introductory Textbook On Data Analysis And Statistics Written Especially For Students In The Social Sciences And Allied Fieldsquantitative Analysis Is An Increasingly Essential Skill For Social Science Research, Yet Students In The Social Sciences And Related Areas Typically Receive Little Training In Itor If They Do, They Usually End Up In Statistics Classes That Offer Few Insights Into Their Field. This Textbook Is A Practical Introduction To Data Analysis And Statistics Written Especially For Undergraduates And Beginning Graduate Students In The Social Sciences And Allied Fields, Such As Economics, Sociology, Public Policy, And Data Science.Quantitative Social Science Engages Directly With Empirical Analysis, Showing Students How To Analyze Data Using The R Programming Language And To Interpret The Resultsit Encourages Handson Learning, Not Paperandpencil Statistics. More Than Forty Data Sets Taken Directly From Leading Quantitative Social Science Research Illustrate How Data Analysis Can Be Used To Answer Important Questions About Society And Human Behavior.Proven In The Classroom, This Oneofakind Textbook Features Numerous Additional Data Analysis Exercises And Interactive R Programming Exercises, And Also Comes With Supplementary Teaching Materials For Instructors. Written Especially For Students In The Social Sciences And Allied Fields, Including Economics, Sociology, Public Policy, And Data Science Provides Handson Instruction Using R Programming, Not Paperandpencil Statistics Includes More Than Forty Data Sets From Actual Research For Students To Test Their Skills On Covers Data Analysis Concepts Such As Causality, Measurement, And Prediction, As Well As Probability And Statistical Tools Features A Wealth Of Supplementary Exercises, Including Additional Data Analysis Exercises And Interactive Programming Exercises Offers A Solid Foundation For Further Study Comes With Additional Course Materials Online, Including Notes, Sample Code, Exercises And Problem Sets With Solutions, And Lecture Slideslooking For A More Accessible Introduction? Consider Data Analysis For Social Science By Elena Llaudet And Kosuke Imai, Which Teaches From Scratch And Stepbystep The Fundamentals Of Survey Research, Predictive Models, And Causal Inference. It Covers Descriptive Statistics, The Differenceinmeans Estimator, Simple Linear Regression, And Multiple Linear Regression.
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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: What is the size of this textbook? A: The textbook measures seven point zero one inches in length, one point one eight inches in width, and ten inches in height. These dimensions make it a portable choice for students.
- Q: How many pages does this book have? A: This book contains four hundred thirty-two pages. It provides a comprehensive overview of quantitative social science concepts and practical exercises.
- Q: What type of binding does this book have? A: The textbook is paperback bound. This type of binding is flexible and suitable for students who need to carry it around.
- Q: How do I use this textbook effectively? A: To use this textbook effectively, engage with the exercises and data sets provided. It is designed for hands-on learning in data analysis using R programming.
- Q: Is this book suitable for beginners? A: Yes, this book is suitable for beginners, particularly undergraduates and beginning graduate students. It introduces data analysis and statistics in an accessible manner.
- Q: Can I use this book for self-study? A: Yes, this textbook is ideal for self-study. It includes numerous exercises and supplementary materials to reinforce learning.
- Q: How do I care for this textbook? A: To care for this textbook, keep it in a dry place and avoid exposure to direct sunlight. This will help maintain its condition over time.
- Q: Is there any specific storage advice for textbooks? A: Yes, store the textbook upright on a shelf to prevent bending or damage. This will help prolong its lifespan.
- Q: What if the book arrives damaged? A: If the book arrives damaged, contact the seller for a replacement or return. Most retailers have customer service policies for such issues.
- Q: Is there a return policy for this textbook? A: Yes, there is typically a return policy for textbooks. Check the retailer's website for specific details on their return process.
- Q: How does this book compare to others in the field? A: This textbook stands out due to its practical approach and hands-on exercises, unlike many that focus solely on theory. It is designed specifically for social sciences.
- Q: Is this book appropriate for social science majors? A: Yes, this book is highly appropriate for social science majors. It covers essential data analysis and statistical concepts relevant to their studies.
- Q: What is the primary focus of this textbook? A: The primary focus of this textbook is to provide an introduction to data analysis and statistics tailored for social sciences. It emphasizes practical application.
- Q: Are there additional resources available for this book? A: Yes, additional resources are available online, including sample code, exercises, and lecture slides. These materials support the learning experience.
- Q: What programming language does this book use for analysis? A: This textbook uses the R programming language for data analysis. It encourages students to apply their knowledge through practical exercises.
- Q: Does this book include real-world data sets? A: Yes, the book includes more than forty real-world data sets from actual research. This helps illustrate how to apply data analysis in social science.