{"product_id":"quantitative-analysis-in-archaeology-isbn-9781405189507","title":"Quantitative Analysis in Archaeology","description":"\u003ci\u003eQuantitative Analysis in Archaeology\u003c\/i\u003e introduces the application of quantitative methods in archaeology. It outlines conceptual and statistical principles, illustrates their application, and provides problem sets for practice.   \u003cul type=\"disc\"\u003e \u003cli\u003eDiscusses both methodological frameworks and quantitative methods of archaeological analysis\u003c\/li\u003e \u003cli\u003ePresents statistical material in a clear and straightforward manner ideal for students and professionals in the field\u003c\/li\u003e \u003cli\u003eIncludes illustrative problem sets and practice exercises in each chapter that reinforce practical application of quantitative analysis\u003c\/li\u003e \u003c\/ul\u003e  List of Tables.  \u003cp\u003eList of Figures.\u003c\/p\u003e \u003cp\u003eList of Equations.\u003c\/p\u003e \u003cp\u003eAcknowledgments.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Quantifying Archaeology.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Data.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eScales of Measurement.\u003c\/p\u003e \u003cp\u003eNominal level measurement.\u003c\/p\u003e \u003cp\u003eOrdinal level measurement.\u003c\/p\u003e \u003cp\u003eInterval level measurement.\u003c\/p\u003e \u003cp\u003eRatio level measurement.\u003c\/p\u003e \u003cp\u003eThe relationship among the scales of measurement.\u003c\/p\u003e \u003cp\u003eValidity.\u003c\/p\u003e \u003cp\u003eAccuracy and Precision.\u003c\/p\u003e \u003cp\u003ePopulations and Samples.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Characterizing Data Visually.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eFrequency Distributions.\u003c\/p\u003e \u003cp\u003eHistograms.\u003c\/p\u003e \u003cp\u003eStem and Leaf Diagrams.\u003c\/p\u003e \u003cp\u003eOgives (Cumulative Frequency Distributions).\u003c\/p\u003e \u003cp\u003eDescribing a Distribution.\u003c\/p\u003e \u003cp\u003eBar Charts.\u003c\/p\u003e \u003cp\u003eDisplaying Data like a Pro.\u003c\/p\u003e \u003cp\u003eArchaeology and Exploratory Data Analysis.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Characterizing Data Numerically: Descriptive Statistics.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eMeasures of Central Tendency.\u003c\/p\u003e \u003cp\u003eMean.\u003c\/p\u003e \u003cp\u003eMedian.\u003c\/p\u003e \u003cp\u003eMode.\u003c\/p\u003e \u003cp\u003eWhich measure of location is best?\u003c\/p\u003e \u003cp\u003eMeasures of Dispersion.\u003c\/p\u003e \u003cp\u003eRange.\u003c\/p\u003e \u003cp\u003eInterquartile range.\u003c\/p\u003e \u003cp\u003eVariance and standard deviation.\u003c\/p\u003e \u003cp\u003eCalculating Estimates of the Mean and Standard Deviation.\u003c\/p\u003e \u003cp\u003eCoefficients of Variation.\u003c\/p\u003e \u003cp\u003eBox Plots.\u003c\/p\u003e \u003cp\u003eCharacterizing Nominal and Ordinal Scale Data.\u003c\/p\u003e \u003cp\u003eIndex of dispersion for nominal data and the index of qualitative variation.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 An Introduction to Probability.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eTheoretical Determinations of Probability.\u003c\/p\u003e \u003cp\u003eEmpirical Determinations of Probability.\u003c\/p\u003e \u003cp\u003eComplex Events.\u003c\/p\u003e \u003cp\u003eUsing Probability to Determine Likelihood.\u003c\/p\u003e \u003cp\u003eThe Binomial Distribution.\u003c\/p\u003e \u003cp\u003eThe psychic's trick.\u003c\/p\u003e \u003cp\u003eSimplifying the binomial.\u003c\/p\u003e \u003cp\u003eProbability in Archaeological Contexts.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Putting Statistics to Work: The Normal Distribution.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Hypothesis Testing I: An Introduction.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eHypotheses of Interest.\u003c\/p\u003e \u003cp\u003eFormal Hypothesis Testing and the Null Hypothesis.\u003c\/p\u003e \u003cp\u003eErrors in Hypothesis Testing.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Hypothesis Testing II: Confi dence Limits, the t-Distribution, and One-Tailed Tests.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eStandard Error.\u003c\/p\u003e \u003cp\u003eComparing Sample Means to m.\u003c\/p\u003e \u003cp\u003eStatistical Inference and Confidence Limits.\u003c\/p\u003e \u003cp\u003eThe t-Distribution.\u003c\/p\u003e \u003cp\u003eDegrees of freedom and the t-distribution.\u003c\/p\u003e \u003cp\u003eHypothesis Testing Using the t-Distribution.\u003c\/p\u003e \u003cp\u003eTesting One-Tailed Null Hypotheses.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Hypothesis Testing III: Power.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCalculating.\u003c\/p\u003e \u003cp\u003eStatistical Power.\u003c\/p\u003e \u003cp\u003eIncreasing the power of a test.\u003c\/p\u003e \u003cp\u003eCalculating Power: An Archaeological Example.\u003c\/p\u003e \u003cp\u003ePower Curves.\u003c\/p\u003e \u003cp\u003ePutting it all Together: A Final Overview of Hypothesis Testing.\u003c\/p\u003e \u003cp\u003eSteps to hypothesis testing.\u003c\/p\u003e \u003cp\u003eEvaluating common hypotheses.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Analysis of Variance and the F-Distribution.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eModel II ANOVA: Identifying the Impacts of Random Effects.\u003c\/p\u003e \u003cp\u003eModel I ANOVA: The Analysis of Treatment Effects.\u003c\/p\u003e \u003cp\u003eA Final Summary of Model I and Model II ANOVA.\u003c\/p\u003e \u003cp\u003eANOVA Calculation Procedure.\u003c\/p\u003e \u003cp\u003eIdentifying the Sources of Signifi cant Variation in Model I and Model II ANOVA.\u003c\/p\u003e \u003cp\u003eComparing Variances.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Linear Regression and Multivariate Analysis.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eConstructing a Regression Equation.\u003c\/p\u003e \u003cp\u003eEvaluating the Statistical Significance of Regression.\u003c\/p\u003e \u003cp\u003eUsing Regression Analysis to Predict Values.\u003c\/p\u003e \u003cp\u003ePlacing confi dence intervals around the regression coefficient.\u003c\/p\u003e \u003cp\u003eConfidence Limits around \u003ci\u003eY\u003c\/i\u003e for a Given \u003ci\u003eXi\u003c\/i\u003e.\u003c\/p\u003e \u003cp\u003eEstimating \u003ci\u003eX\u003c\/i\u003e from \u003ci\u003eY\u003c\/i\u003e.\u003c\/p\u003e \u003cp\u003eThe Analysis of Residuals.\u003c\/p\u003e \u003cp\u003eSome Final Thoughts about Regression.\u003c\/p\u003e \u003cp\u003eSelecting the right regression model.\u003c\/p\u003e \u003cp\u003eDo not extrapolate beyond the boundaries of the observed data.\u003c\/p\u003e \u003cp\u003eUse the right methods when creating reverse predictions.\u003c\/p\u003e \u003cp\u003eBe aware of the assumptions for regression analysis.\u003c\/p\u003e \u003cp\u003eYou may be able to transform your data to create a linear relationship from a curvilinear relationship.\u003c\/p\u003e \u003cp\u003eUse the right confi dence limits.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Correlation.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003ePearson’s Product-Moment Correlation Coefficient.\u003c\/p\u003e \u003cp\u003eThe assumptions of Pearson's product-moment correlation coeffi cient.\u003c\/p\u003e \u003cp\u003eSpearman's Rank Order Correlation Coeffi cient.\u003c\/p\u003e \u003cp\u003eSome Final Thoughts (and Warnings) about Correlation.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Analysis of Frequencies.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eDetermining the Source of Variation in a Chi-Square Matrix.\u003c\/p\u003e \u003cp\u003eAssumptions of Chi-Square Analysis.\u003c\/p\u003e \u003cp\u003eThe Analysis of Small Samples Using Fisher’s Exact Test and Yate's Continuity Correction.\u003c\/p\u003e \u003cp\u003eThe Median Test.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 An Abbreviated Introduction to Nonparametric and Multivariate Analysis.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eNonparametric Tests Comparing Groups.\u003c\/p\u003e \u003cp\u003eWilcoxon two-sample test.\u003c\/p\u003e \u003cp\u003eKruskal–Wallis nonparametric ANOVA.\u003c\/p\u003e \u003cp\u003eMultivariate Analysis and the Comparison of Means.\u003c\/p\u003e \u003cp\u003eA review of pertinent conceptual issues.\u003c\/p\u003e \u003cp\u003eTwo-way ANOVA.\u003c\/p\u003e \u003cp\u003eNested ANOVA.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 Factor Analysis and Principal Component Analysis.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eObjectives of Principal Component and Factor Analysis.\u003c\/p\u003e \u003cp\u003eDesigning the Principal Component\/Factor Analysis.\u003c\/p\u003e \u003cp\u003eAssumptions and Conceptual Considerations of Factor Analysis.\u003c\/p\u003e \u003cp\u003eAn Example of Factor Analysis.\u003c\/p\u003e \u003cp\u003eFactor Analysis vs. Principal Component Analysis.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e16 Sampling, Research Designs, and the Archaeological Record.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eHow to Select a Sample.\u003c\/p\u003e \u003cp\u003eHow Big a Sample is Necessary?\u003c\/p\u003e \u003cp\u003eSome Concluding Thoughts.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003eAppendix A Areas under a Standardized Normal Distribution.\u003c\/p\u003e \u003cp\u003eAppendix B Critical Values for the Student's t-Distribution.\u003c\/p\u003e \u003cp\u003eAppendix C Critical Values for the F-Distribution.\u003c\/p\u003e \u003cp\u003eAppendix D Critical Values for the Chi-Square Distribution.\u003c\/p\u003e \u003cp\u003eAppendix E Critical Values for the Wilcoxon Two-Sample U-Test.\u003c\/p\u003e \u003cp\u003eIndex.\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eTODD L. VANPOOL\u003c\/b\u003e is Assistant Professor at the Department of Anthropology, University of Missouri, Columbia. He is the co-author with Christine S. VanPool of \u003ci\u003eSigns of the Casas Grandes Shamans\u003c\/i\u003e (2007), \u003ci\u003eReligion in the Prehispanic Southwest\u003c\/i\u003e (2006) and \u003ci\u003eEssential Tensions in Archaeological Method and Theory\u003c\/i\u003e (2003).  \u003c\/p\u003e\u003cp\u003e\u003cb\u003eROBERT D. LEONARD\u003c\/b\u003e 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.   \u003c\/p\u003e\u003cp\u003e\"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.\" \u003ci\u003eMichael Shott, University of Akron\u003c\/i\u003e  \u003c\/p\u003e\u003cp\u003e\"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.\" \u003ci\u003eGordon F.M. Rakita, University of North Florida\u003c\/i\u003e  \u003c\/p\u003e\u003cp\u003e\"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.\" \u003ci\u003eMichael J. O???Brien, University of Missouri\u003c\/i\u003e  \u003c\/p\u003e\u003cp\u003eThis 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.  \u003c\/p\u003e\u003cp\u003e\u003ci\u003eQuantitative Analysis in Archaeology\u003c\/i\u003e 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.   \"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.\"\u003cbr\u003e \u003ci\u003eMichael Shott, University of Akron\u003c\/i\u003e  \u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e \u003cp\u003e\"The authors' approach to the often confusing concepts of statistical analysis using common sense and  real-world examples make this text an approachable and conducive way to ease archaeologists into the quantitative analysis of data.\"\u003cbr\u003e \u003ci\u003eGordon F.M. Rakita, University of North Florida\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003eAn 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.\u003cbr\u003e \u003ci\u003eMichael J. O'Brien, University of Missouri\u003c\/i\u003e\u003c\/p\u003e","brand":"Wiley-Blackwell","offers":[{"title":"Default Title","offer_id":47989895168229,"sku":"NP9781405189507","price":68.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781405189507.jpg?v=1761785826","url":"https:\/\/k12savings.com\/es\/products\/quantitative-analysis-in-archaeology-isbn-9781405189507","provider":"K12savings","version":"1.0","type":"link"}