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Strategies for Quantitative Research - Grant S. McCall

Strategies for Quantitative Research

Archaeology by Numbers

(Autor)

Buch | Hardcover
224 Seiten
2018
Routledge (Verlag)
978-1-138-63253-0 (ISBN)
CHF 249,95 inkl. MwSt
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Strategies for Quantitative Research is a concise and readable textbook on the use of statistics in archaeology and a handbook for professionals in the field aimed at answering commonly occurring questions about the goals of analysis and the assumptions of major statistical models.
It is little secret that most archaeologists are uneasy with statistics. Thankfully, in the modern world, quantitative analysis has been made immensely easier by statistical software packages. Software now does virtually all our statistical calculations, removing a great burden for researchers. At the same time, since most statistical analysis now takes place through the pushing of buttons in software packages, new problems and dangers have emerged. How does one know which statistical test to use? How can one tell if certain data violate the assumptions of a particular statistical analysis?

Rather than focusing on the mathematics of calculation, this concise handbook selects appropriate forms of analysis and explains the assumptions that underlie them. It deals with fundamental issues, such as what kinds of data are common in the field of archaeology and what are the goals of various forms of analysis.

This accessible textbook lends a refreshing playfulness to an often-humorless subject and will be enjoyed by students and professionals alike.

Grant S. McCall is the Executive Director of the Center for Human-Environmental Research and Associate Professor of Anthropology at Tulane University. He is also the author of Before Modern Humans: New Perspectives on the African Stone Age and (with Karl Widerquist) Prehistoric Myths in Modern Political Philosophy.

List of Figures

List of Tables

List of Boxes

List of Formula

Preface

Chapter 1: Introduction: How Does Quantitative Analysis Fit Into Archaeological Research?

Chapter 2: Basics: Knowing Your Data

Chapter 3: Preparing Your Data: Aggregation, Standardization, and Transformation

Chapter 4: Numerical and Graphical Approaches to Summarizing Your Data

Chapter 5: Basic Approaches for Statistical Hypothesis Testing Using Univariate Data

Chapter 6: Bivariate Analysis: Linear Regression and Correlation

Chapter 7: Multivariate Techniques for Data Reduction and Pattern Recognition

Chapter 8: Multivariate Approaches to Statistical Hypothesis Testing

Chapter 9: Clustering and Discrimination: Grouping Data According to Similarity

Chapter 10: Conclusion: Numerical Facts in the World of Archaeological Ambiguity

Erscheinungsdatum
Zusatzinfo 43 Tables, black and white; 55 Line drawings, black and white; 1 Halftones, black and white
Verlagsort London
Sprache englisch
Maße 189 x 246 mm
Gewicht 610 g
Themenwelt Geisteswissenschaften Archäologie
ISBN-10 1-138-63253-8 / 1138632538
ISBN-13 978-1-138-63253-0 / 9781138632530
Zustand Neuware
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