LEADER 08407nam 2200721 a 450 001 9910140870203321 005 20210106230420.0 010 $a1-282-91421-9 010 $a9786612914218 010 $a1-4443-9015-5 010 $a1-4443-9016-3 035 $a(CKB)2670000000061051 035 $a(StDuBDS)AH4286362 035 $a(SSID)ssj0000441368 035 $a(PQKBManifestationID)12210921 035 $a(PQKBTitleCode)TC0000441368 035 $a(PQKBWorkID)10407398 035 $a(PQKB)11554188 035 $a(MiAaPQ)EBC624720 035 $a(PPN)221532889 035 $a(EXLCZ)992670000000061051 100 $a20100722d2010 fy| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aQuantitative analysis in archaeology$b[electronic resource] /$fby Todd L. VanPool, Robert D. Leonard 210 $aOxford $cWiley-Blackwell$d2010 215 $a1 online resource (376 p.) 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a1-4051-8951-7 327 $aList 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. 330 $aThis text is an ideal introduction to the use of quantitative methods in archaeology. Statistical techniques are presented in a clear 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. 330 $bQuantitative Analysis in Archaeology introduces the application of quantitative methods in archaeology. It outlines conceptual and statistical principles, illustrates their application, and provides problem sets for practice. Discusses both methodological frameworks and quantitative methods of archaeological analysis Presents statistical material in a clear and straightforward manner ideal for students and professionals in the field Includes illustrative problem sets and practice exercises in each chapter that reinforce practical application of quantitative analysis 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 measurement in archaeology, and it includes coverage of methods and techniques valuable to archaeologists but not found in other texts. 606 $aArchaeology$xResearch 606 $aQuantitative research 606 $aHistory$2eflch 606 $aArchaeology$xMethodology 606 $aQuantitative research $xResearch 606 $aArchaeology 606 $aHistory & Archaeology$2HILCC 606 $aArchaeology $2HILCC 608 $aElectronic books.$2lcsh 615 0$aArchaeology$xResearch. 615 0$aQuantitative research. 615 7$aHistory. 615 0$aArchaeology$xMethodology 615 0$aQuantitative research $xResearch 615 0$aArchaeology 615 7$aHistory & Archaeology 615 7$aArchaeology 676 $a930.10721 700 $aVanPool$b Todd L.$f1968-$0857153 701 $aLeonard$b Robert D$0857154 801 0$bStDuBDS 801 1$bStDuBDS 801 2$bStDuBDSZ 801 2$bUkPrAHLS 906 $aBOOK 912 $a9910140870203321 996 $aQuantitative analysis in archaeology$91913980 997 $aUNINA