Using Statistics in Social Research

A Concise Approach

  • Scott M.┬áLynch

Table of contents

  1. Front Matter
    Pages i-xxiii
  2. Scott M. Lynch
    Pages 1-4
  3. Scott M. Lynch
    Pages 5-15
  4. Scott M. Lynch
    Pages 17-35
  5. Scott M. Lynch
    Pages 57-81
  6. Scott M. Lynch
    Pages 83-105
  7. Scott M. Lynch
    Pages 127-141
  8. Scott M. Lynch
    Pages 143-173
  9. Scott M. Lynch
    Pages 175-184
  10. Scott M. Lynch
    Pages 185-187
  11. Back Matter
    Pages 189-229

About this book


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.


applied statistics in social science psychometrics quantitative social research social science research statistical methods statistics in sociology

Authors and affiliations

  • Scott M.┬áLynch
    • 1
  1. 1.Princeton University Department of SociologyPrincetonUSA

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