Quantitative Anthropology
A Workbook
- 1st Edition - March 21, 2019
- Latest edition
- Authors: Leslie Lea Williams, Kylie Quave
- Language: English
Quantitative Anthropology: A Workbook contributes an anthropological perspective to quantitative methods. The book's authors address characteristics of quantitative data, entering… Read more
Quantitative Anthropology: A Workbook contributes an anthropological perspective to quantitative methods. The book's authors address characteristics of quantitative data, entering and manipulating data in SPSS, graphical displays, distributions and measures of central tendency and dispersion, and including hypothesis testing with both parametric and nonparametric statistical tests. Increasingly complex exercises build on cumulative learning from chapter to chapter and stress the application of methods beyond coursework. The focus of the manual is on univariate statistical analysis, and the book is written to be accessible to higher level undergraduate students and graduate students in all fields of anthropology.
- Uses anthropological examples (from the subdisciplines of sociocultural anthropology, biological anthropology, and archaeology) to illustrate quantitative data techniques
- Integrates quantitative techniques with theoretical fluency, encouraging the reader to make connections between Big Picture questions in anthropology and the methods used to address those questions
- Focuses on the practical use of Excel and SPSS to apply quantitative methods to anthropological contexts
- Includes exercises in both parametric and nonparametric inferential statistics, as well as descriptive statistics
Upper-level undergraduate and graduate students in anthropological programs, anthropologists in non-academic settings (CRM, museums). Social scientists in health and society, sociology, pre-med, public health and environmental studies
1. Essentials for Quantifying Anthropological Data Sets
2. Managing Anthropological Data Sets
3. Visualizing Data
4. Measures of Central Tendency and Dispersion
5. Exploring and Transforming Distributions
6. Hypothesis Testing
7. Comparing Two Groups: t-Tests
8. Linear Associations: Correlation Analysis
9. Regression Analysis
10. Tests of Proportions: Chi-Square, Likelihood Ratio, Fisher’s
Exact Test
11. Comparing Three or More Groups: Analysis of Variance
Appendix
1. Distribution Tables
2. Further Reading
3. Final Project Concepts
- Edition: 1
- Latest edition
- Published: March 21, 2019
- Language: English
LW
Leslie Lea Williams
Dr. Williams is a bioarchaeologist whose primary research centers on understanding human response and adaptation to mass disaster and climate change using an evolutionary framework that incorporates local context, cultural environments, and human health. She has taught courses on quantitative methods in anthropology, and has presented research on database design and management. Her research spans osteology, archaeology, paleopathology, and historical demography in Germany, England, Italy, and the United States. She has a PhD from the Ohio State University in Anthropology and an MSc from the University of Sheffield in Human Osteology and Funerary Archaeology.
Affiliations and expertise
Assistant Professor, Department of Anthropology, Beloit College, Beloit, WI, USAKQ
Kylie Quave
Dr. Quave is an anthropological archaeologist who has conducted archaeological and ethno-historical research in the South American Andes for more than a decade. Her work focuses on the everyday experiences among households in communities facing Inca imperialism and Spanish colonialism (11th to 18th centuries). She conducts fieldwork in the rural heartland of the Inca empire in Cusco, Peru. She teaches quantitative anthropology and writing about quantitative social science, as well as researching liberal arts pedagogies. Her work has been published in domestic and international venues, recently including Journal of Field Archaeology, Latin American Antiquity, and Museum Management and Curatorship.
Affiliations and expertise
Assistant Professor, University Writing Program and Department of Anthropology, George Washington University, Washington, D.C., USARead Quantitative Anthropology on ScienceDirect