List of illustrations Preface 1. The relevance of archaeological history 2. Classical archaeology and antiquarianism 3. The beginnings of scientific archaeology 4. The imperial synthesis 5. Culture-historical archaeology 6. Soviet archaeology 7. Functionalism in Western archaeology 8. Neo-evolutionism and the New Archaeology 9. The explanation of diversity 10. Archaeology and its social context Bibliographical essay References Index.

A History of Archaeological Thought

ion, Metaphor and Mimesis Southwest is very conscious of its own corporate ‘way of life’. A list is given on its website under the heading ‘culture’ of the desired characteristics of a Southwest person (perseverant, egalitarian, passionate), and these qualities are abstracted into the more general injunctions to be low cost and have high customer service delivery, and the mission statement talks of warmth, friendliness, individual pride and company spirit. So there are clear abstractions here that create a unity and coherence to activities across domains. Throughout this book I have shown how entanglements involve material and conceptual components. In Chapter 2 I described a pebble on a beach that was brought into different assemblies with other things depending on how it was recognized, remembered and owned. In that chapter too I described how the equipmental totality of a thing depended on the different theories about and perspectives towards it. In Chapter 3 I used the quote from Gibson that ‘an affordance points both ways, to the environment and to the observer’ (1986: 129). In Chapter 4 I noted that the maintenance of walls in the Yorkshire Dales depended on expert ideas about organic foods and recent collective nostalgia for a rural way of life. In Chapter 5 I showed how a sail boat had different entanglements, and different affordances depending on the perspectives of sailing, entertaining and protecting the ecosystem of the bay. These ideas about the boat are themselves tied to wider ideas about what is leisure and how the environment should be protected. So entanglements and affordances and functions are always tied to abstractions (ideas, thoughts, words, feelings and senses). These abstractions are hierarchical and nested as noted above, and they often cross domains so that humans seek unities, coherence, metaphor within different realms of experience. Abstractions are general and can often be applied to more than one domain of activity. Their transferability Hodder_c06.indd 120 2/3/2012 12:14:59 PM

Entangled: An Archaeology of the Relationships between Humans and Things

Analysis of Contingency Tables

This paper addresses the scope for more integrated general analysis of diversity in science, technology and society. It proposes a framework recognizing three necessary but individually insufficient properties of diversity. Based on 10 quality criteria, it suggests a general quantitative non-parametric diversity heuristic. This allows the systematic exploration of diversity under different perspectives, including divergent conceptions of relevant attributes and contrasting weightings on different diversity properties. It is shown how this heuristic may be used to explore different possible trade-offs between diversity and other aspects of interest, including portfolio interactions. The resulting approach offers a way to be more systematic and transparent in the treatment of scientific and technological diversity in a range of fields, including conservation management, research governance, energy policy and sustainable innovation.

A general framework for analysing diversity in science, technology and society.

A General Framework for Analysing Diversity in Science, Technology and Society

Elements of an inclusive evolutionary model for archaeology

The application of Darwinian evolutionary theory to archaeology has taken two divergent and rather distinct paths over the past two decades. According to one program, often referred to as evolutionary archaeology, cultural change as seen in the archaeological record can best be explained in terms of the direct action of natural selection and other Darwinian processes on heritable variation in artifacts and behavior. The other approach, referred to as evolutionary or behavioral ecology, explains cultural and behavioral change as forms of phenotypic adaptation to varying social and ecological conditions, using the assumption that natural selection has designed organisms to respond to local conditions in fitness-enhancing ways. We argue that the primary conflict between the two approaches centers on fundamental differences in the way they view the explanatory role of phenotypic variation and more specifically a disagreement over whether behavioral innovation is random with respect to adaptive value (including related issues of current versus future selective advantage and the explanatory role of intentions). These differences lead to contrasts in explanatory scope, empirical application, and theoretical conclusions, which in turn provide the basis for our evaluation of the relative utility of each approach for explaining archaeological phenomena.

Is it evolution yet ? A critique of evolutionary archaeology. Commentaries. Authors' reply

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 Mean and Standard Deviation. Coefficients of Variation. Box Plots. Characterizing Nominal and Ordinal Scale Data. Index of dispersion for nominal data and the index of qualitative variation. 5 An Introduction to Probability. Theoretical Determinations of Probability. Empirical Determinations of Probability. Complex Events. Using Probability to Determine Likelihood. The Binomial Distribution. The psychic's trick. Simplifying the binomial. Probability in Archaeological Contexts. 6 Putting Statistics to Work: The Normal Distribution. 7 Hypothesis Testing I: An Introduction. Hypotheses of Interest. Formal Hypothesis Testing and the Null Hypothesis. Errors in Hypothesis Testing. 8 Hypothesis Testing II: Confi dence Limits, the t-Distribution, and One-Tailed Tests. Standard Error. Comparing Sample Means to m. Statistical Inference and Confidence Limits. The t-Distribution. Degrees of freedom and the t-distribution. Hypothesis Testing Using the t-Distribution. Testing One-Tailed Null Hypotheses. 9 Hypothesis Testing III: Power. Calculating. Statistical Power. Increasing the power of a test. Calculating Power: An Archaeological Example. Power Curves. Putting it all Together: A Final Overview of Hypothesis Testing. Steps to hypothesis testing. Evaluating common hypotheses. 10 Analysis of Variance and the F-Distribution. Model II ANOVA: Identifying the Impacts of Random Effects. Model I ANOVA: The Analysis of Treatment Effects. A Final Summary of Model I and Model II ANOVA. ANOVA Calculation Procedure. Identifying the Sources of Signifi cant Variation in Model I and Model II ANOVA. Comparing Variances. 11 Linear Regression and Multivariate Analysis. Constructing a Regression Equation. Evaluating the Statistical Significance of Regression. Using Regression Analysis to Predict Values. Placing confi dence intervals around the regression coefficient. Confidence Limits around Y for a Given Xi. Estimating X from Y. The Analysis of Residuals. Some Final Thoughts about Regression. Selecting the right regression model. Do not extrapolate beyond the boundaries of the observed data. Use the right methods when creating reverse predictions. Be aware of the assumptions for regression analysis. You may be able to transform your data to create a linear relationship from a curvilinear relationship. Use the right confi dence limits. 12 Correlation. Pearson's Product-Moment Correlation Coefficient. The assumptions of Pearson's product-moment correlation coeffi cient. Spearman's Rank Order Correlation Coeffi cient. Some Final Thoughts (and Warnings) about Correlation. 13 Analysis of Frequencies. Determining the Source of Variation in a Chi-Square Matrix. Assumptions of Chi-Square Analysis. The Analysis of Small Samples Using Fisher's Exact Test and Yate's Continuity Correction. The Median Test. 14 An Abbreviated Introduction to Nonparametric and Multivariate Analysis. Nonparametric Tests Comparing Groups. Wilcoxon two-sample test. Kruskal-Wallis nonparametric ANOVA. Multivariate Analysis and the Comparison of Means. A review of pertinent conceptual issues. Two-way ANOVA. Nested ANOVA. 15 Factor Analysis and Principal Component Analysis. Objectives of Principal Component and Factor Analysis. Designing the Principal Component/Factor Analysis. Assumptions and Conceptual Considerations of Factor Analysis. An Example of Factor Analysis. Factor Analysis vs. Principal Component Analysis. 16 Sampling, Research Designs, and the Archaeological Record. How to Select a Sample. How Big a Sample is Necessary? 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. Index.

Quantitative analysis in archaeology

The Ancient southwestern community : models and methods for the study of prehistoric social organization

After over a century of archaeological research in the American Southwest, questions focusing on population aggregation and abandonment continue to preoccupy much of Pueblo archaeology. This article presents a historical overview of the present range of explanatory approaches to these two processes, with a primary focus on population aggregation in those regions occupied by historic and prehistoric Pueblo peoples. We stress the necessarily complementary nature of most of these explanations of residential abandonment and aggregation. Case studies from the northern Southwest illustrate the continuous nature of these processes across time and space. We suggest that additional explanatory potential will be gained by the use of well-defined theoretical units to frame our current approaches. We extend the use of the “local community” concept as a theoretical unit of organization that, along with explicit archaeological correlates, should help advance our research into population aggregation and abandonment in this and other regions of the world.

Robert D. Leonard

Papers

Elements of an inclusive evolutionary model for archaeology

Is it evolution yet ? A critique of evolutionary archaeology. Commentaries. Authors' reply

Quantitative analysis in archaeology

The Ancient southwestern community : models and methods for the study of prehistoric social organization

Ancestral pueblo population aggregation and abandonment in the North American Southwest