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Informationen zum Autor TODD L. VANPOOL is Assistant Professor at the Department of Anthropology, University of Missouri, Columbia. He is the co-author with Christine S. VanPool of Signs of the Casas Grandes Shamans (2007), Religion in the Prehispanic Southwest (2006) and Essential Tensions in Archaeological Method and Theory (2003). ROBERT D. LEONARD is retired from the Department of Anthropology, University of New Mexico, Albuquerque, where he taught for 17 years. He is currently the co-owner and a project director of Human Inquiry, a consulting firm that uses an interdisciplinary anthropological approach to help improve building designs. Klappentext "VanPool and Leonard are accomplished practitioners, and their book is a comprehensive guide to statistical inference in archaeology with particular emphasis upon currently popular methods. It should be on every archaeologist's bookshelf and will serve admirably as a text in introductory statistics courses." Michael Shott, University of Akron "The authors' approach to the often confusing concepts of statistical analysis using common sense and real-world examples makes this text an approachable and conducive way to ease archaeologists into the quantitative analysis of data." Gordon F.M. Rakita, University of North Florida "An excellent book ? one that takes archaeologists with little quantitative training by the hand and leads them through easy-to-read discussions of an impressive array of statistical methods. The examples come directly from archaeology, which students will appreciate. My copy will become dog-eared from use." Michael J. O???Brien, University of Missouri This text is an ideal introduction to the use of quantitative methods in archaeology. It outlines conceptual and statistical principles, illustrates their application, and provides problem sets for practice. Statistical techniques are presented in a clear and straightforward manner throughout, and the careful balance between introduction of key concepts and their application to archaeological data is perfectly suited for both students and professionals in the field. Quantitative Analysis in Archaeology is the most comprehensive review available of the essentials of statistical analysis and measurement in archaeology, and it includes coverage of methods and techniques valuable to archaeologists but not found in other texts. Zusammenfassung This text is an ideal introduction to the use of quantitative methods in archaeology. Statistical techniques are presented in a clear and straightforward manner throughout, and the careful balance between introduction of key concepts and their application to archaeological data is perfectly suited for both students and professionals in the field. Inhaltsverzeichnis List of Tables. List of Figures. List of Equations. Acknowledgments. 1 Quantifying Archaeology. 2 Data. Scales of Measurement. Nominal level measurement. Ordinal level measurement. Interval level measurement. Ratio level measurement. The relationship among the scales of measurement. Validity. Accuracy and Precision. Populations and Samples. 3 Characterizing Data Visually. Frequency Distributions. Histograms. Stem and Leaf Diagrams. Ogives (Cumulative Frequency Distributions). Describing a Distribution. Bar Charts. Displaying Data like a Pro. Archaeology and Exploratory Data Analysis. 4 Characterizing Data Numerically: Descriptive Statistics. Measures of Central Tendency. Mean. Median. Mode. Which measure of location is best? Measures of Dispersion. Range. Interquartile range. Variance and standard deviation. Calculating Estimates of the Mea...
Inhaltsverzeichnis
List of Tables.
List of Figures.
List of Equations.
Acknowledgments.
1. Quantifying Archaeology.
2. Data.
3. Characterizing Data Visually.
4.Characterizing Data Numerically: Descriptive Statistics.
5. An Introduction to Probability.
6. Putting Statistics to Work: The Normal Distribution.
7. Hypothesis Testing I: An Introduction.
8. Hypothesis Testing II: Confidence Limits, the t-Distribution, and One-Tailed Tests.
9. Hypothesis Testing III: Power.
10. Analysis of Variance and the F-Distribution.
11. Linear Regression and Multivariate Analysis.
12. Correlation.
13. Analysis of Frequencies.
14. An Abbreviated Introduction to Nonparametric and Multivariate Analysis.
15. Factor Analysis and Principal Component Analysis.
16. Sampling, Research Designs, and the Archaeological Record.
Some Concluding Thoughts.
References.
Appendix A. Areas under a Standardized Normal Distribution.
Appendix B. Critical Values for the Student's t-Distribution.
Appendix C. Critical Values for the F-Distribution.
Appendix D. Critical Values for the Chi-Square Distribution.
Appendix E. Critical Values for the Wilcoxon Two-Sample U-Test.
