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E-raamat: Data Analysis Basics for Anthropology: A Primer on the Collection, Configuration, and Interpretation of Quantitative Data

  • Formaat: PDF+DRM
  • Ilmumisaeg: 06-Apr-2026
  • Kirjastus: Routledge
  • Keel: eng
  • ISBN-13: 9781040534809
  • Formaat - PDF+DRM
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  • Formaat: PDF+DRM
  • Ilmumisaeg: 06-Apr-2026
  • Kirjastus: Routledge
  • Keel: eng
  • ISBN-13: 9781040534809

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This accessible guide introduces readers to the essential process of collecting, organizing, testing, and interpreting quantitative data in biological anthropology and archaeology. Written in straightforward language, it avoids complex mathematical theory and programming jargon in favor of practical application, making statistical concepts approachable for students and researchers at all levels.

Through relevant anthropological and archaeological examples, readers learn critical data analysis skills, including determining sample sizes, identifying outliers, handling missing data, testing normality, evaluating hypotheses, and estimating effect size and statistical power. All techniques are demonstrated using R Statistics and other free, open-source software, providing hands-on experience with industry-standard tools without additional cost.

This concise volume bridges the gap between theoretical statistics and real-world application, equipping readers with the fundamental skills needed to conduct and interpret their own research in biological anthropology and archaeology. This book will be perfect for undergraduate and graduate students new to quantitative methods, researchers returning to the field, and instructors seeking a practical supplement for statistics and research methods courses.



This accessible guide introduces readers to the process of collecting, organizing, testing, and interpreting quantitative data in biological Anthropology and Archaeology. Written in straightforward language, it avoids complex mathematical theory and programming jargon, making statistical concepts approachable for students and researchers.

Introduction
Chapter 1: Its All About the Data
Chapter 2: Creating a
Hypothesis
Chapter 3: Creating a Dataset and Collecting Data
Chapter 4: Error
in Data and Making Data Clean
Chapter 5: Descriptive Statistics and Testing
for Normality
Chapter 6: Testing Hypotheses if Data are Normal
Chapter 7:
Testing Hypotheses if Data are not Normal
Chapter 8: Correlation and
Regression Conclusion Appendix A: Quick Start Guide to R Appendix B: R
Functions
Christopher K. Barrett has taught Biological and Forensic Anthropology at Colleges and Universities in the United States for more than 25 years. His research interests have focused on methods for determining sex from skeletal remains, estimating developmental stress from teeth, and interpreting health in prehistoric populations. He is currently Lead Instructor for Anthropology at Washtenaw Community College in Ann Arbor, Michigan.