Using Statistics in Social Research

A Concise Approach

Authors: Lynch, Scott M.

  • ​A more compact and concise approach to interpreting statistical survey research data
  • Details in an accessible way integral relationship between probabilistic reasoning and statistical inference
  • Uses simulation exercises to demonstrate key points, such as Central Limit Theorem ​
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About this Textbook

This book covers applied statistics for the social sciences with upper-level undergraduate students in mind. The chapters are based on lecture notes from an introductory statistics course the author has taught for a number of years. The book integrates statistics into the research process, with early chapters covering basic philosophical issues underpinning the process of scientific research. These include the concepts of deductive reasoning and the falsifiability of hypotheses, the development of a research question and hypotheses, and the process of data collection and measurement. Probability theory is then covered extensively with a focus on its role in laying the foundation for statistical reasoning and inference. After illustrating the Central Limit Theorem, later chapters address the key, basic statistical methods used in social science research, including various z and t tests and confidence intervals, nonparametric chi square tests, one-way analysis of variance,  correlation, simple regression, and multiple regression, with a discussion of the key issues involved in thinking about causal processes. Concepts and topics are illustrated using both real and simulated data. The penultimate chapter presents rules and suggestions for the successful presentation of statistics in tabular and graphic formats, and the final chapter offers suggestions for subsequent reading and study.

About the authors

Scott M. Lynch is a professor in the Department of Sociology and Office of Population Research at Princeton University.  His substantive research interests are in changes in racial and socioeconomic inequalities in health and mortality across age and time, as well as in understanding the sources of regional disparities in health in the U.S.  His methodological interests are in the application of Bayesian statistics and estimation methods to problems that cannot be easily addressed with classical statistical methods in sociology and demography.

Table of contents (12 chapters)

Buy this book

eBook $54.99
price for USA (gross)
  • ISBN 978-1-4614-8573-5
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $69.99
price for USA
  • ISBN 978-1-4614-8572-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $69.99
price for USA
  • ISBN 978-1-4939-5306-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Using Statistics in Social Research
Book Subtitle
A Concise Approach
Authors
Copyright
2013
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-1-4614-8573-5
DOI
10.1007/978-1-4614-8573-5
Hardcover ISBN
978-1-4614-8572-8
Softcover ISBN
978-1-4939-5306-6
Edition Number
1
Number of Pages
XXIII, 229
Number of Illustrations and Tables
44 b/w illustrations
Topics