{"product_id":"encyclopedia-of-statistics-in-behavioral-science-hardback-9780470860809","title":"Encyclopedia of Statistics in Behavioral Science (Hardback) 9780470860809","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eEncyclopedia of Statistics in Behavioral Science\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003eBrian S. Everitt (Edited by), BS Everitt (Author), David Howell (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780470860809, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 15 April 2005\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e2368 pages\u003cbr\u003e27.7 x 23.6 x 24.9 cm, 6.981 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cem\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\"I congratulate the editors for a job well done. The coverage is thorough and accurate, and the levels are well matched to the anticipated readers.\" (\u003ci\u003eJournal of the American Statistical Association\u003c\/i\u003e)\u003c\/p\u003e \u003cp\u003e\"... valuable for researcher[s], educators, and students in... neuroscience, behavior genetics, and the cognitive sciences... as well as for those in the fields of sociology, management sciences, market research, and human resources.\" (\u003ci\u003eAmerican Reference Books Annual\u003c\/i\u003e, March 2007)\u003c\/p\u003e \u003cp\u003e\"All libraries catering for post-16-year-olds should encourage their readers to work through these elementary texts.\" (\u003ci\u003eReference Reviews\u003c\/i\u003e, 2006)\u003c\/p\u003e\u003c\/font\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003eDie \"Encyclopedia of Statistics in Behavioral Science\" behandelt verfeinerte statistische Prinzipien und Verfahren, die für Fortschritte in der psychologischen Forschung und ihrer immer weiter gefassten Anwendungsbereiche unverzichtbar sind.\u003cbr\u003e \u003cbr\u003e Der Band bietet umfassende Erläuterungen zu einer Großzahl statistischer Methoden in der Verhaltensforschung und geht insbesondere auf neue Verfahren und Entwicklungen der letzten 10 Jahre ein.\u003cbr\u003e \u003cbr\u003e Mit topaktuellen Informationen zu Entwicklungsbereichen wie z.B. der Neurowissenschaft, Verhaltensgenetik, dem Entscheidungslernen und der Kognitiven Wissenschaft.\u003cbr\u003e \u003cbr\u003e Mit über 600 Artikeln und über 400 Beiträgen von international führenden Psychologen und Statistikern.\u003cbr\u003e \u003cbr\u003e Der Schwerpunkt liegt klar auf praktischen, nicht-technischen Methoden mit breit gefächterten Anwendungsmöglichkeiten.\u003cbr\u003e \u003cbr\u003e Mit umfangreichen Querverweisen. Sie ermöglichen einen schnellen und gezielten Zugriff auf die gewünschte Information.\u003cbr\u003e \u003cbr\u003e \"Encyclopedia of Statistics in Behavioral Science\" - ein unverzichtbares Nachschlagewerk für Forscher, Dozenten und Studenten.\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cb\u003eVOLUME 1\u003c\/b\u003e  \u003cp\u003eA Priori v Post Hoc Testing.\u003c\/p\u003e \u003cp\u003eACE Model.\u003c\/p\u003e \u003cp\u003eAdaptive Random Assignment.\u003c\/p\u003e \u003cp\u003eAdaptive Sampling.\u003c\/p\u003e \u003cp\u003eAdditive Constant Problem.\u003c\/p\u003e \u003cp\u003eAdditive Genetic Variance.\u003c\/p\u003e \u003cp\u003eAdditive Models.\u003c\/p\u003e \u003cp\u003eAdditive Tree.\u003c\/p\u003e \u003cp\u003eAdditivity Tests.\u003c\/p\u003e \u003cp\u003eAdoption Studies.\u003c\/p\u003e \u003cp\u003eAge-Period-Cohort Analysis.\u003c\/p\u003e \u003cp\u003eAkaike's Criterion.\u003c\/p\u003e \u003cp\u003eAllelic Association.\u003c\/p\u003e \u003cp\u003eAll-X Models.\u003c\/p\u003e \u003cp\u003eAll-Y Models.\u003c\/p\u003e \u003cp\u003eAlternating Treatment Designs.\u003c\/p\u003e \u003cp\u003eAnalysis of Covariance.\u003c\/p\u003e \u003cp\u003eAnalysis of Covariance: Nonparametric.\u003c\/p\u003e \u003cp\u003eAnalysis of Variance.\u003c\/p\u003e \u003cp\u003eAnalysis of Variance and Multiple Regression Approaches.\u003c\/p\u003e \u003cp\u003eAnalysis of Variance: Cell Means Approach.\u003c\/p\u003e \u003cp\u003eAnalysis of Variance: Classification.\u003c\/p\u003e \u003cp\u003eAnsari-Bradley Test.\u003c\/p\u003e \u003cp\u003eArbuthnot, John.\u003c\/p\u003e \u003cp\u003eArea Sampling.\u003c\/p\u003e \u003cp\u003eArithmetic Mean.\u003c\/p\u003e \u003cp\u003eAscertainment Corrections.\u003c\/p\u003e \u003cp\u003eAssortative Mating.\u003c\/p\u003e \u003cp\u003eAsymptotic Relative Efficiency.\u003c\/p\u003e \u003cp\u003eAttitude Scaling.\u003c\/p\u003e \u003cp\u003eAttrition.\u003c\/p\u003e \u003cp\u003eAverage Deviation.\u003c\/p\u003e \u003cp\u003eAxes in Multivariate Analysis.\u003c\/p\u003e \u003cp\u003eBagging.\u003c\/p\u003e \u003cp\u003eBalanced Incomplete Block Designs.\u003c\/p\u003e \u003cp\u003eBar Chart.\u003c\/p\u003e \u003cp\u003eBattery Reduction.\u003c\/p\u003e \u003cp\u003eBayes, Thomas.\u003c\/p\u003e \u003cp\u003eBayesian Belief Networks.\u003c\/p\u003e \u003cp\u003eBayesian Item Response Theory Estimation.\u003c\/p\u003e \u003cp\u003eBayesian Methods for Categorical Data.\u003c\/p\u003e \u003cp\u003eBayesian Statistics.\u003c\/p\u003e \u003cp\u003eBernoulli Family.\u003c\/p\u003e \u003cp\u003eBinomial Confidence Interval.\u003c\/p\u003e \u003cp\u003eBinomial Distribution: Estimating and Testing parameters.\u003c\/p\u003e \u003cp\u003eBinomial Effect Size Display.\u003c\/p\u003e \u003cp\u003eBinomial Test.\u003c\/p\u003e \u003cp\u003eBiplot.\u003c\/p\u003e \u003cp\u003eBlock Random Assignment.\u003c\/p\u003e \u003cp\u003eBoosting.\u003c\/p\u003e \u003cp\u003eBootstrap Inference.\u003c\/p\u003e \u003cp\u003eBox Plots.\u003c\/p\u003e \u003cp\u003eBradley-Terry Model.\u003c\/p\u003e \u003cp\u003eBreslow-Day Statistic.\u003c\/p\u003e \u003cp\u003eBrown, William.\u003c\/p\u003e \u003cp\u003eBubble Plot.\u003c\/p\u003e \u003cp\u003eBurt, Cyril Lodowic.\u003c\/p\u003e \u003cp\u003eBush, Robert R.\u003c\/p\u003e \u003cp\u003eCalculating Covariance.\u003c\/p\u003e \u003cp\u003eCampbell, Donald T.\u003c\/p\u003e \u003cp\u003eCanonical Correlation Analysis.\u003c\/p\u003e \u003cp\u003eCarroll-Arabie Taxonomy.\u003c\/p\u003e \u003cp\u003eCarryover and Sequence Effects.\u003c\/p\u003e \u003cp\u003eCase Studies.\u003c\/p\u003e \u003cp\u003eCase-Cohort Studies.\u003c\/p\u003e \u003cp\u003eCase-Control Studies.\u003c\/p\u003e \u003cp\u003eCatalogue of Parametric Tests.\u003c\/p\u003e \u003cp\u003eCatalogue of Probability Density Functions.\u003c\/p\u003e \u003cp\u003eCatastrophe Theory.\u003c\/p\u003e \u003cp\u003eCategorizing Data.\u003c\/p\u003e \u003cp\u003eCattell, Raymond Bernard.\u003c\/p\u003e \u003cp\u003eCensored Observations.\u003c\/p\u003e \u003cp\u003eCensus.\u003c\/p\u003e \u003cp\u003eCentering in Multivariate Linear Models.\u003c\/p\u003e \u003cp\u003eCentral Limit Theory.\u003c\/p\u003e \u003cp\u003eChildren of Twins Design.\u003c\/p\u003e \u003cp\u003eChi-Square Decomposition.\u003c\/p\u003e \u003cp\u003eCholesky Decomposition.\u003c\/p\u003e \u003cp\u003eClassical Statistical   Inference: Practice versus Presentation.\u003c\/p\u003e \u003cp\u003eClassical Statistical Inference Extended: Split-Tailed Tests.\u003c\/p\u003e \u003cp\u003eClassical Test Models.\u003c\/p\u003e \u003cp\u003eClassical Test Score Equating.\u003c\/p\u003e \u003cp\u003eClassification and Regression Trees.\u003c\/p\u003e \u003cp\u003eClinical Psychology.\u003c\/p\u003e \u003cp\u003eClinical Trials and Intervention Studies.\u003c\/p\u003e \u003cp\u003eCluster Analysis: Overview.\u003c\/p\u003e \u003cp\u003eClustered Data.\u003c\/p\u003e \u003cp\u003eCochran, William Gemmell.\u003c\/p\u003e \u003cp\u003eCochran's C Test.\u003c\/p\u003e \u003cp\u003eCoefficient of Variation.\u003c\/p\u003e \u003cp\u003eCohen, Jacob.\u003c\/p\u003e \u003cp\u003eCohort Sequential Design.\u003c\/p\u003e \u003cp\u003eCohort Studies.\u003c\/p\u003e \u003cp\u003eCoincidences.\u003c\/p\u003e \u003cp\u003eCollinearity.\u003c\/p\u003e \u003cp\u003eCombinatorics for Categorical Variables.\u003c\/p\u003e \u003cp\u003eCommon Pathway Model.\u003c\/p\u003e \u003cp\u003eCommunity Intervention Studies.\u003c\/p\u003e \u003cp\u003eComorbidity.\u003c\/p\u003e \u003cp\u003eCompensatory Equalization.\u003c\/p\u003e \u003cp\u003eCompensatory Rivalry.\u003c\/p\u003e \u003cp\u003eCompletely Randomized Design.\u003c\/p\u003e \u003cp\u003eComputational Models.\u003c\/p\u003e \u003cp\u003eComputer-Adaptive Testing.\u003c\/p\u003e \u003cp\u003eComputer-Based Test Designs.\u003c\/p\u003e \u003cp\u003eComputer-Based Testing.\u003c\/p\u003e \u003cp\u003eConcordance Rates.\u003c\/p\u003e \u003cp\u003eConditional Independence.\u003c\/p\u003e \u003cp\u003eConditional Standard Errors of Measurement.\u003c\/p\u003e \u003cp\u003eConfidence Intervals.\u003c\/p\u003e \u003cp\u003eConfidence Intervals: Nonparametric.\u003c\/p\u003e \u003cp\u003eConfigural Frequency Analysis.\u003c\/p\u003e \u003cp\u003eConfounding in the Analysis of Variance.\u003c\/p\u003e \u003cp\u003eConfounding Variable.\u003c\/p\u003e \u003cp\u003eContingency Tables.\u003c\/p\u003e \u003cp\u003eCoombs, Clyde Hamilton.\u003c\/p\u003e \u003cp\u003eCorrelation.\u003c\/p\u003e \u003cp\u003eCorrelation and Covariance Matrices.\u003c\/p\u003e \u003cp\u003eCorrelation Issues in Genetics Research.\u003c\/p\u003e \u003cp\u003eCorrelation Studies.\u003c\/p\u003e \u003cp\u003eCorrespondence Analysis.\u003c\/p\u003e \u003cp\u003eCo-Twin Control Methods.\u003c\/p\u003e \u003cp\u003eCounter Null Value of an Effect Size.\u003c\/p\u003e \u003cp\u003eCounterbalancing.\u003c\/p\u003e \u003cp\u003eCounterfactual Reasoning.\u003c\/p\u003e \u003cp\u003eCovariance.\u003c\/p\u003e \u003cp\u003eCovariance Matrices: Testing Equality of.\u003c\/p\u003e \u003cp\u003eCovariance Structure Models.\u003c\/p\u003e \u003cp\u003eCovariance\/variance\/correlation.\u003c\/p\u003e \u003cp\u003eCox, Gertrude Mary.\u003c\/p\u003e \u003cp\u003eCramer-Von Mises Test.\u003c\/p\u003e \u003cp\u003eCriterion-Referenced Assessment.\u003c\/p\u003e \u003cp\u003eCritical Region.\u003c\/p\u003e \u003cp\u003eCross Sectional Design.\u003c\/p\u003e \u003cp\u003eCross-Classified and Multiple Membership Models.\u003c\/p\u003e \u003cp\u003eCross-Lagged Panel Design.\u003c\/p\u003e \u003cp\u003eCrossover Design.\u003c\/p\u003e \u003cp\u003eCross-validation.\u003c\/p\u003e \u003cp\u003eCultural Transmission.\u003c\/p\u003e \u003cp\u003eData Mining.\u003c\/p\u003e \u003cp\u003ede Finetti, Bruno.\u003c\/p\u003e \u003cp\u003ede Moivre, Abraham.\u003c\/p\u003e \u003cp\u003eDecision Making Strategies.\u003c\/p\u003e \u003cp\u003eDeductive Reasoning and Statistical Inference.\u003c\/p\u003e \u003cp\u003eDeFries-Fulker Analysis.\u003c\/p\u003e \u003cp\u003eDemand Characteristics.\u003c\/p\u003e \u003cp\u003eDeming, Edwards William.\u003c\/p\u003e \u003cp\u003eDesign Effects.\u003c\/p\u003e \u003cp\u003eDevelopment of Statistical Theory in the 20th Century.\u003c\/p\u003e \u003cp\u003eDifferential Item Functioning.\u003c\/p\u003e \u003cp\u003eDirect and Indirect Effects.\u003c\/p\u003e \u003cp\u003eDirect Maximum Likelihood Estimation.\u003c\/p\u003e \u003cp\u003eDirected Alternatives in Testing.\u003c\/p\u003e \u003cp\u003eDirection of Causation Models.\u003c\/p\u003e \u003cp\u003eDiscriminant Analysis.\u003c\/p\u003e \u003cp\u003eDistribution Free Inference, an Overview.\u003c\/p\u003e \u003cp\u003eDominance.\u003c\/p\u003e \u003cp\u003eDot chart.\u003c\/p\u003e \u003cp\u003eDropouts in Longitudinal Data.\u003c\/p\u003e \u003cp\u003eDropouts in Longitudinal Studies: Methods of Analysis.\u003c\/p\u003e \u003cp\u003eDummy Variables.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eVOLUME 2\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eEcological Fallacy.\u003c\/p\u003e \u003cp\u003eEducational Psychology: Measuring Change Over Time.\u003c\/p\u003e \u003cp\u003eEffect Size Measures.\u003c\/p\u003e \u003cp\u003eEigenvalue\/Eigenvector.\u003c\/p\u003e \u003cp\u003eEmpirical Quantile-Quantile Plots.\u003c\/p\u003e \u003cp\u003eEpistasis.\u003c\/p\u003e \u003cp\u003eEquivalence Trials.\u003c\/p\u003e \u003cp\u003eError Rates.\u003c\/p\u003e \u003cp\u003eEstimation.\u003c\/p\u003e \u003cp\u003eETA and ETA Squared.\u003c\/p\u003e \u003cp\u003eEthics in Research.\u003c\/p\u003e \u003cp\u003eEvaluation Research.\u003c\/p\u003e \u003cp\u003eEvent History Analysis.\u003c\/p\u003e \u003cp\u003eExact Methods for Categorical Data.\u003c\/p\u003e \u003cp\u003eExpectancy Effect.\u003c\/p\u003e \u003cp\u003eExpectation.\u003c\/p\u003e \u003cp\u003eExperimental Design.\u003c\/p\u003e \u003cp\u003eExploratory Data Analysis.\u003c\/p\u003e \u003cp\u003eExternal Validity.\u003c\/p\u003e \u003cp\u003eFacet Theory.\u003c\/p\u003e \u003cp\u003eFace-to-Face Surveys.\u003c\/p\u003e \u003cp\u003eFactor Analysis of Personality Measures.\u003c\/p\u003e \u003cp\u003eFactor Analysis: Confirmatory.\u003c\/p\u003e \u003cp\u003eFactor Analysis: Exploratory.\u003c\/p\u003e \u003cp\u003eFactor Analysis: Multiple Groups.\u003c\/p\u003e \u003cp\u003eFactor Analysis: Multitrait-Multimethod.\u003c\/p\u003e \u003cp\u003eFactor Score Estimation.\u003c\/p\u003e \u003cp\u003eFactorial Designs.\u003c\/p\u003e \u003cp\u003eFamily History Versus Family Study Methods in Genetics.\u003c\/p\u003e \u003cp\u003eFamily Study and Relative Risk.\u003c\/p\u003e \u003cp\u003eFechner, Gustav T.\u003c\/p\u003e \u003cp\u003eField Experiment.\u003c\/p\u003e \u003cp\u003eFinite Mixture Distributions.\u003c\/p\u003e \u003cp\u003eFisher, Sir Ronald Aylmer.\u003c\/p\u003e \u003cp\u003eFisherian Tradition in Behavioral Genetics.\u003c\/p\u003e \u003cp\u003eFixed and Random Effects.\u003c\/p\u003e \u003cp\u003eFixed Effect Models.\u003c\/p\u003e \u003cp\u003eFocus Group Techniques.\u003c\/p\u003e \u003cp\u003eFree Response Data Scoring.\u003c\/p\u003e \u003cp\u003eFriedman's Test.\u003c\/p\u003e \u003cp\u003eFunctional Data Analysis.\u003c\/p\u003e \u003cp\u003eFuzzy Cluster Analysis.\u003c\/p\u003e \u003cp\u003eGalton, Francis.\u003c\/p\u003e \u003cp\u003eGame Theory.\u003c\/p\u003e \u003cp\u003eGauss, Johann Carl Friedrich.\u003c\/p\u003e \u003cp\u003eGene-Environment Correlation.\u003c\/p\u003e \u003cp\u003eGene-Environment Interaction.\u003c\/p\u003e \u003cp\u003eGeneralizability.\u003c\/p\u003e \u003cp\u003eGeneralizability Theory: Basics.\u003c\/p\u003e \u003cp\u003eGeneralizability Theory: Estimation.\u003c\/p\u003e \u003cp\u003eGeneralizability Theory: Overview.\u003c\/p\u003e \u003cp\u003eGeneralized Additive Model.\u003c\/p\u003e \u003cp\u003eGeneralized Estimating Equations (GEE).\u003c\/p\u003e \u003cp\u003eGeneralized Linear Mixed Models.\u003c\/p\u003e \u003cp\u003eGeneralized Linear Models (GLM).\u003c\/p\u003e \u003cp\u003eGenotype.\u003c\/p\u003e \u003cp\u003eGeometric Mean.\u003c\/p\u003e \u003cp\u003eGoodness of Fit.\u003c\/p\u003e \u003cp\u003eGoodness of Fit for Categorical Variables.\u003c\/p\u003e \u003cp\u003eGosset, William Sealy.\u003c\/p\u003e \u003cp\u003eGraphical Chain Models.\u003c\/p\u003e \u003cp\u003eGraphical Methods Pre-twentieth Century.\u003c\/p\u003e \u003cp\u003eGraphical Presentation of Longitudinal Data.\u003c\/p\u003e \u003cp\u003eGrowth Curve Modeling.\u003c\/p\u003e \u003cp\u003eGuttman, Louise (Eliyahu).\u003c\/p\u003e \u003cp\u003eHarmonic Mean.\u003c\/p\u003e \u003cp\u003eHawthorne Effect.\u003c\/p\u003e \u003cp\u003eHeritability.\u003c\/p\u003e \u003cp\u003eHeritability: Overview.\u003c\/p\u003e \u003cp\u003eHeteroscedasticity and Complex Variation.\u003c\/p\u003e \u003cp\u003eHeuristics.\u003c\/p\u003e \u003cp\u003eHeuristics: Fast and Frugal.\u003c\/p\u003e \u003cp\u003eHierarchical Clustering.\u003c\/p\u003e \u003cp\u003eHierarchical Item Response Theory Modeling.\u003c\/p\u003e \u003cp\u003eHierarchical Models.\u003c\/p\u003e \u003cp\u003eHigh-Dimensional Regression.\u003c\/p\u003e \u003cp\u003eHill's Criteria of Causation.\u003c\/p\u003e \u003cp\u003eHistogram.\u003c\/p\u003e \u003cp\u003eHistorical Controls.\u003c\/p\u003e \u003cp\u003eHistory of Analysis of Variance.\u003c\/p\u003e \u003cp\u003eHistory of Behavioral Statistics.\u003c\/p\u003e \u003cp\u003eHistory of Correlational Measurement.\u003c\/p\u003e \u003cp\u003eHistory of Discrimination and Clustering.\u003c\/p\u003e \u003cp\u003eHistory of Factor Analysis: British Perspective.\u003c\/p\u003e \u003cp\u003eHistory of Factor Analysis: Statistical Perspective.\u003c\/p\u003e \u003cp\u003eHistory of Intelligence Measurement.\u003c\/p\u003e \u003cp\u003eHistory of Mathematical Learning Theory.\u003c\/p\u003e \u003cp\u003eHistory of Multivariate Analysis of Variance.\u003c\/p\u003e \u003cp\u003eHistory of Path Analysis.\u003c\/p\u003e \u003cp\u003eHistory of Psychometrics.\u003c\/p\u003e \u003cp\u003eHistory of Surveys of Sexual Behavior.\u003c\/p\u003e \u003cp\u003eHistory of the Control Group.\u003c\/p\u003e \u003cp\u003eHodges-Lehman Estimator.\u003c\/p\u003e \u003cp\u003eHorseshoe Pattern.\u003c\/p\u003e \u003cp\u003eHotelling, Howard.\u003c\/p\u003e \u003cp\u003eHull, Clark L.\u003c\/p\u003e \u003cp\u003eIdentification.\u003c\/p\u003e \u003cp\u003eInbred Strain Study.\u003c\/p\u003e \u003cp\u003eIncidence.\u003c\/p\u003e \u003cp\u003eIncomplete Contingency Tables.\u003c\/p\u003e \u003cp\u003eIncompleteness of Probability Models.\u003c\/p\u003e \u003cp\u003eIndependence: Chi-square and likelihood Ratio Tests.\u003c\/p\u003e \u003cp\u003eIndependent Components Analysis.\u003c\/p\u003e \u003cp\u003eIndependent Pathway Model.\u003c\/p\u003e \u003cp\u003eIndex Plots.\u003c\/p\u003e \u003cp\u003eIndustrial\/Organizational Psychology.\u003c\/p\u003e \u003cp\u003eInfluential Observations.\u003c\/p\u003e \u003cp\u003eInformation Matrix.\u003c\/p\u003e \u003cp\u003eInformation Theory.\u003c\/p\u003e \u003cp\u003eInstrumental Variable.\u003c\/p\u003e \u003cp\u003eIntention-to-Treat.\u003c\/p\u003e \u003cp\u003eInteraction Effects.\u003c\/p\u003e \u003cp\u003eInteraction Plot.\u003c\/p\u003e \u003cp\u003eInternal Consistency.\u003c\/p\u003e \u003cp\u003eInternal Validity.\u003c\/p\u003e \u003cp\u003eInternet Research Methods.\u003c\/p\u003e \u003cp\u003eInterquartile Range.\u003c\/p\u003e \u003cp\u003eInterrupted Time Series Design.\u003c\/p\u003e \u003cp\u003eIntervention Analysis.\u003c\/p\u003e \u003cp\u003eIntraclass Correlation.\u003c\/p\u003e \u003cp\u003eIntrinsic Linearity.\u003c\/p\u003e \u003cp\u003eIntroduction to Probability.\u003c\/p\u003e \u003cp\u003eINUS Conditions.\u003c\/p\u003e \u003cp\u003eItem Analysis.\u003c\/p\u003e \u003cp\u003eItem Bias Detection: Classical Approaches.\u003c\/p\u003e \u003cp\u003eItem Bias Detection: Modern Approaches.\u003c\/p\u003e \u003cp\u003eItem Exposure Detection.\u003c\/p\u003e \u003cp\u003eItem Response Theory (IRT) Models for Dichotomous Data.\u003c\/p\u003e \u003cp\u003eItem Response Theory Models for Rating Scale Data.\u003c\/p\u003e \u003cp\u003eItem Response Theory: Cognitive Models.\u003c\/p\u003e \u003cp\u003eItem Response Theory Models for Polytomous Response Data.\u003c\/p\u003e \u003cp\u003eJackknife.\u003c\/p\u003e \u003cp\u003eJonckheere-Terpstra Test.\u003c\/p\u003e \u003cp\u003eKendall, Maurice George.\u003c\/p\u003e \u003cp\u003eKendall's Coefficient of Concordance.\u003c\/p\u003e \u003cp\u003eKendall's Tau - t.\u003c\/p\u003e \u003cp\u003eKernel Smoothing.\u003c\/p\u003e \u003cp\u003eK-Means Analysis.\u003c\/p\u003e \u003cp\u003eKolmogorov, Andrey Nikolaevich.\u003c\/p\u003e \u003cp\u003eKolmogorov-Smirnov Tests.\u003c\/p\u003e \u003cp\u003eKruskal-Wallis Test.\u003c\/p\u003e \u003cp\u003eKurtosis.\u003c\/p\u003e \u003cp\u003eLaplace, Pierre Simon (Marquis de).\u003c\/p\u003e \u003cp\u003eLatent Class Analysis.\u003c\/p\u003e \u003cp\u003eLatent Transition Models.\u003c\/p\u003e \u003cp\u003eLatent Variable.\u003c\/p\u003e \u003cp\u003eLatin Squares Designs.\u003c\/p\u003e \u003cp\u003eLaws of Large Numbers.\u003c\/p\u003e \u003cp\u003eLeast Squares Estimation.\u003c\/p\u003e \u003cp\u003eLeverage Plot.\u003c\/p\u003e \u003cp\u003eLiability Threshold Models.\u003c\/p\u003e \u003cp\u003eLinear Model.\u003c\/p\u003e \u003cp\u003eLinear Models: Permutation Methods.\u003c\/p\u003e \u003cp\u003eLinear Multilevel Models.\u003c\/p\u003e \u003cp\u003eLinkage Analysis.\u003c\/p\u003e \u003cp\u003eLogistic Regression.\u003c\/p\u003e \u003cp\u003eLog-linear Models.\u003c\/p\u003e \u003cp\u003eLog-linear Rasch Models for Stability and Change.\u003c\/p\u003e \u003cp\u003eLongitudinal Data Analysis.\u003c\/p\u003e \u003cp\u003eLongitudinal Designs in Genetic Research.\u003c\/p\u003e \u003cp\u003eLord, Frederic Mather.\u003c\/p\u003e \u003cp\u003eLord's Paradox.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eVOLUME 3\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eM Estimators of Location.\u003c\/p\u003e \u003cp\u003eMahalanobis Distance.\u003c\/p\u003e \u003cp\u003eMahalanobis, Prasanta Chandra.\u003c\/p\u003e \u003cp\u003eMail Surveys.\u003c\/p\u003e \u003cp\u003eMallows Cp Statistic.\u003c\/p\u003e \u003cp\u003eMantel-Haenszel Methods.\u003c\/p\u003e \u003cp\u003eMarginal Independence.\u003c\/p\u003e \u003cp\u003eMarginal Models for Clustered Data.\u003c\/p\u003e \u003cp\u003eMarkov Chain Monte Carlo and Bayesian Statistics.\u003c\/p\u003e \u003cp\u003eMarkov Chain Monte-Carlo Item Response Theory Estimation.\u003c\/p\u003e \u003cp\u003eMarkov Chains.\u003c\/p\u003e \u003cp\u003eMarkov, Andrei Andreevich..\u003c\/p\u003e \u003cp\u003eMartingales.\u003c\/p\u003e \u003cp\u003eMatching.\u003c\/p\u003e \u003cp\u003eMathematical Psychology.\u003c\/p\u003e \u003cp\u003eMaximum Likelihood Estimation.\u003c\/p\u003e \u003cp\u003eMaximum Likelihood Item Response Theory Estimation.\u003c\/p\u003e \u003cp\u003eMaxwell, Albert Ernest.\u003c\/p\u003e \u003cp\u003eMeasurement: Overview.\u003c\/p\u003e \u003cp\u003eMeasures of Association.\u003c\/p\u003e \u003cp\u003eMedian.\u003c\/p\u003e \u003cp\u003eMedian Absolute Deviation.\u003c\/p\u003e \u003cp\u003eMedian Test.\u003c\/p\u003e \u003cp\u003eMediation.\u003c\/p\u003e \u003cp\u003eMendelian Genetics Rediscovered.\u003c\/p\u003e \u003cp\u003eMendelian Inheritance and Segregation Analysis.\u003c\/p\u003e \u003cp\u003eMeta-Analysis.\u003c\/p\u003e \u003cp\u003eMicroarrays.\u003c\/p\u003e \u003cp\u003eMid-p Values.\u003c\/p\u003e \u003cp\u003eMinimum Spanning Tree.\u003c\/p\u003e \u003cp\u003eMisclassification Rates.\u003c\/p\u003e \u003cp\u003eMissing Data.\u003c\/p\u003e \u003cp\u003eModel Based Cluster Analysis.\u003c\/p\u003e \u003cp\u003eModel Evaluation.\u003c\/p\u003e \u003cp\u003eModel Fit: Assessment of.\u003c\/p\u003e \u003cp\u003eModel Identifiability.\u003c\/p\u003e \u003cp\u003eModel Selection.\u003c\/p\u003e \u003cp\u003eModels for Matched Pairs.\u003c\/p\u003e \u003cp\u003eModeration.\u003c\/p\u003e \u003cp\u003eMoments.\u003c\/p\u003e \u003cp\u003eMonotonic Regression.\u003c\/p\u003e \u003cp\u003eMonte Carlo Goodness of Fit Tests.\u003c\/p\u003e \u003cp\u003eMonte Carlo Simulation.\u003c\/p\u003e \u003cp\u003eMultidimensional Item Response Theory Models.\u003c\/p\u003e \u003cp\u003eMultidimensional Scaling.\u003c\/p\u003e \u003cp\u003eMultidimensional Unfolding.\u003c\/p\u003e \u003cp\u003eMultigraph Modeling.\u003c\/p\u003e \u003cp\u003eMultilevel and SEM Approaches to Growth Curve Modeling.\u003c\/p\u003e \u003cp\u003eMultiple Baseline Designs.\u003c\/p\u003e \u003cp\u003eMultiple Comparison Procedures.\u003c\/p\u003e \u003cp\u003eMultiple Comparison Tests: Nonparametric and Resampling Approaches.\u003c\/p\u003e \u003cp\u003eMultiple Imputation.\u003c\/p\u003e \u003cp\u003eMultiple Informants.\u003c\/p\u003e \u003cp\u003eMultiple Linear Regression.\u003c\/p\u003e \u003cp\u003eMultiple Testing.\u003c\/p\u003e \u003cp\u003eMulti-trait Multi-method Analyses.\u003c\/p\u003e \u003cp\u003eMultivariate Analysis of Variance.\u003c\/p\u003e \u003cp\u003eMultivariate Analysis:   Bayesian.\u003c\/p\u003e \u003cp\u003eMultivariate Analysis: Overview.\u003c\/p\u003e \u003cp\u003eMultivariate Genetic Analysis.\u003c\/p\u003e \u003cp\u003eMultivariate Multiple Regression.\u003c\/p\u003e \u003cp\u003eMultivariate Normality Tests.\u003c\/p\u003e \u003cp\u003eMultivariate Outliers.\u003c\/p\u003e \u003cp\u003eNeural Networks.\u003c\/p\u003e \u003cp\u003eNeuropsychology.\u003c\/p\u003e \u003cp\u003eNew Item Types and Scoring.\u003c\/p\u003e \u003cp\u003eNeyman, Jerzy.\u003c\/p\u003e \u003cp\u003eNeyman-Pearson Inference.\u003c\/p\u003e \u003cp\u003eNightingale, Florence.\u003c\/p\u003e \u003cp\u003eNonequivalent Control Group Design.\u003c\/p\u003e \u003cp\u003eNonlinear Mixed Effects Models.\u003c\/p\u003e \u003cp\u003eNonlinear Models.\u003c\/p\u003e \u003cp\u003eNonparametric Correlation (r\u003csub\u003es\u003c\/sub\u003e).\u003c\/p\u003e \u003cp\u003eNonparametric Correlation (tau).\u003c\/p\u003e \u003cp\u003eNonparametric Item Response Theory Models.\u003c\/p\u003e \u003cp\u003eNonparametric Regression.\u003c\/p\u003e \u003cp\u003eNonrandom Samples.\u003c\/p\u003e \u003cp\u003eNonresponse in Sample Surveys.\u003c\/p\u003e \u003cp\u003eNonshared Environment.\u003c\/p\u003e \u003cp\u003eNormal Scores \u0026amp; Expected Order Statistics.\u003c\/p\u003e \u003cp\u003eNuisance Variables.\u003c\/p\u003e \u003cp\u003eNumber Needed to Treat.\u003c\/p\u003e \u003cp\u003eNumber of Clusters.\u003c\/p\u003e \u003cp\u003eNumber of Matches and Magnitude of Correlation.\u003c\/p\u003e \u003cp\u003eObservational Study.\u003c\/p\u003e \u003cp\u003eOdds and Odds Ratios.\u003c\/p\u003e \u003cp\u003eOne Way Designs:Nonparametric and Resampling Approaches.\u003c\/p\u003e \u003cp\u003eOptimal Design for Categorical Variables.\u003c\/p\u003e \u003cp\u003eOptimal Scaling.\u003c\/p\u003e \u003cp\u003eOptimization Methods.\u003c\/p\u003e \u003cp\u003eOrdinal Regression Models.\u003c\/p\u003e \u003cp\u003eOutlier Detection.\u003c\/p\u003e \u003cp\u003eOutliers.\u003c\/p\u003e \u003cp\u003eOverlapping Clusters.\u003c\/p\u003e \u003cp\u003eP Values.\u003c\/p\u003e \u003cp\u003ePage's 0rdered Alternatives Test.\u003c\/p\u003e \u003cp\u003ePaired Observations, Distribution Free Methods.\u003c\/p\u003e \u003cp\u003ePanel Study.\u003c\/p\u003e \u003cp\u003eParadoxes.\u003c\/p\u003e \u003cp\u003eParsimony\/Occham's Razor.\u003c\/p\u003e \u003cp\u003ePartial Correlation Coefficients.\u003c\/p\u003e \u003cp\u003ePartial Least Squares.\u003c\/p\u003e \u003cp\u003ePath Analysis and Path Diagrams.\u003c\/p\u003e \u003cp\u003ePattern Recognition.\u003c\/p\u003e \u003cp\u003ePearson Product Moment Correlation.\u003c\/p\u003e \u003cp\u003ePearson, Egon Sharpe.\u003c\/p\u003e \u003cp\u003ePearson, Karl.\u003c\/p\u003e \u003cp\u003ePercentiles.\u003c\/p\u003e \u003cp\u003ePermutation Based Inference.\u003c\/p\u003e \u003cp\u003ePerson Misfit.\u003c\/p\u003e \u003cp\u003ePie Chart.\u003c\/p\u003e \u003cp\u003ePitman Test.\u003c\/p\u003e \u003cp\u003ePlacebo Effect.\u003c\/p\u003e \u003cp\u003ePoint Biserial Correlation.\u003c\/p\u003e \u003cp\u003ePolychoric Correlation.\u003c\/p\u003e \u003cp\u003ePolynomial Model.\u003c\/p\u003e \u003cp\u003ePopulation Stratification.\u003c\/p\u003e \u003cp\u003ePower.\u003c\/p\u003e \u003cp\u003ePower Analysis for Categorical Methods.\u003c\/p\u003e \u003cp\u003ePower and Sample Size in Multilevel Linear Models.\u003c\/p\u003e \u003cp\u003ePrediction Analysis of Cross-Classifications.\u003c\/p\u003e \u003cp\u003ePrevalence.\u003c\/p\u003e \u003cp\u003ePrincipal Component Analysis.\u003c\/p\u003e \u003cp\u003ePrincipal Components and Extensions.\u003c\/p\u003e \u003cp\u003eProbability Plots.\u003c\/p\u003e \u003cp\u003eProbability: Foundations of.\u003c\/p\u003e \u003cp\u003eProbits.\u003c\/p\u003e \u003cp\u003eProcrustes Analysis.\u003c\/p\u003e \u003cp\u003eProjection Pursuit.\u003c\/p\u003e \u003cp\u003ePropensity Score.\u003c\/p\u003e \u003cp\u003eProscriptive and Retrospective Studies.\u003c\/p\u003e \u003cp\u003eProximity Measures.\u003c\/p\u003e \u003cp\u003ePsychophysical Scaling.\u003c\/p\u003e \u003cp\u003eQualitative Research.\u003c\/p\u003e \u003cp\u003eQuantiles.\u003c\/p\u003e \u003cp\u003eQuantitative Methods in Personality Research.\u003c\/p\u003e \u003cp\u003eQuartiles.\u003c\/p\u003e \u003cp\u003eQuasi-Experimental Designs.\u003c\/p\u003e \u003cp\u003eQuasi-Independence.\u003c\/p\u003e \u003cp\u003eQuasi-Symmetry in Contingency Tables.\u003c\/p\u003e \u003cp\u003eQuetelet, Adolphe.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eVOLUME 4\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eR \u0026amp; Q Analysis.\u003c\/p\u003e \u003cp\u003eR Squared, Adjusted R Squared.\u003c\/p\u003e \u003cp\u003eRandom Effects and Fixed Effects Fallacy.\u003c\/p\u003e \u003cp\u003eRandom Effects in Multivariate Linear Models: Prediction.\u003c\/p\u003e \u003cp\u003eRandom Forests.\u003c\/p\u003e \u003cp\u003eRandom Walks.\u003c\/p\u003e \u003cp\u003eRandomization.\u003c\/p\u003e \u003cp\u003eRandomization Based Tests.\u003c\/p\u003e \u003cp\u003eRandomized Block Design: Nonparametric Analyses.\u003c\/p\u003e \u003cp\u003eRandomized Block Designs.\u003c\/p\u003e \u003cp\u003eRandomized Response Technique.\u003c\/p\u003e \u003cp\u003eRange.\u003c\/p\u003e \u003cp\u003eRank Based Inference.\u003c\/p\u003e \u003cp\u003eRasch Modeling.\u003c\/p\u003e \u003cp\u003eRasch Models for Ordered Response Categories.\u003c\/p\u003e \u003cp\u003eRater Agreement.\u003c\/p\u003e \u003cp\u003eRater Agreement - Kappa.\u003c\/p\u003e \u003cp\u003eRater Agreement - Weighted Kappa.\u003c\/p\u003e \u003cp\u003eRater Bias Models.\u003c\/p\u003e \u003cp\u003eReactivity.\u003c\/p\u003e \u003cp\u003eReceiver Operating Characteristics Curves.\u003c\/p\u003e \u003cp\u003eRecursive Models.\u003c\/p\u003e \u003cp\u003eRegression Artifacts.\u003c\/p\u003e \u003cp\u003eRegression Discontinuity Design.\u003c\/p\u003e \u003cp\u003eRegression Model Coding for the Analysis of Variance.\u003c\/p\u003e \u003cp\u003eRegression Models.\u003c\/p\u003e \u003cp\u003eRegression to the Mean.\u003c\/p\u003e \u003cp\u003eRelative Risk.\u003c\/p\u003e \u003cp\u003eReliability: Definitions and Estimation.\u003c\/p\u003e \u003cp\u003eRepeated Measures Analysis of Variance.\u003c\/p\u003e \u003cp\u003eReplicability of Results.\u003c\/p\u003e \u003cp\u003eReproduced Matrix.\u003c\/p\u003e \u003cp\u003eResentful Demoralization.\u003c\/p\u003e \u003cp\u003eResidual Plot.\u003c\/p\u003e \u003cp\u003eResiduals.\u003c\/p\u003e \u003cp\u003eResiduals in Structural Equation, Factor Analysis, and Path Analysis Models.\u003c\/p\u003e \u003cp\u003eResistant Line Fit.\u003c\/p\u003e \u003cp\u003eRetrospective Studies.\u003c\/p\u003e \u003cp\u003eReversal Design.\u003c\/p\u003e \u003cp\u003eRisk Perception.\u003c\/p\u003e \u003cp\u003eRobust Statistics for Multivariate Methods.\u003c\/p\u003e \u003cp\u003eRobust Testing Procedures.\u003c\/p\u003e \u003cp\u003eRobustness of Standard Tests.\u003c\/p\u003e \u003cp\u003eRuns Test.\u003c\/p\u003e \u003cp\u003eSample Size and Power Calculation.\u003c\/p\u003e \u003cp\u003eSampling Distributions.\u003c\/p\u003e \u003cp\u003eSampling Issues in Categorical Data.\u003c\/p\u003e \u003cp\u003eSaturated Model.\u003c\/p\u003e \u003cp\u003eSavage, Leonard Jimmie.\u003c\/p\u003e \u003cp\u003eScales of Measurement.\u003c\/p\u003e \u003cp\u003eScaling Asymmetric Matrices.\u003c\/p\u003e \u003cp\u003eScaling of Preferential Choice.\u003c\/p\u003e \u003cp\u003eScatterplot Matrices.\u003c\/p\u003e \u003cp\u003eScatterplot Smoothers.\u003c\/p\u003e \u003cp\u003eScatterplots.\u003c\/p\u003e \u003cp\u003eScheffe, Henry.\u003c\/p\u003e \u003cp\u003eSecond order Factor Analysis: Confirmatory.\u003c\/p\u003e \u003cp\u003eSelection Study (Mouse Genetics).\u003c\/p\u003e \u003cp\u003eSensitivity Analysis.\u003c\/p\u003e \u003cp\u003eSensitivity Analysis in Observational Studies.\u003c\/p\u003e \u003cp\u003eSequential Decision Making.\u003c\/p\u003e \u003cp\u003eSequential Testing.\u003c\/p\u003e \u003cp\u003eSetting Performance Standards - Issues, Methods.\u003c\/p\u003e \u003cp\u003eSex-Limitation Models.\u003c\/p\u003e \u003cp\u003eShannon, Claude.\u003c\/p\u003e \u003cp\u003eShared Environment.\u003c\/p\u003e \u003cp\u003eShepard Diagram.\u003c\/p\u003e \u003cp\u003eSibling Interaction Effects.\u003c\/p\u003e \u003cp\u003eSign Test.\u003c\/p\u003e \u003cp\u003eSignal Detection Theory.\u003c\/p\u003e \u003cp\u003eSigned Ranks Test.\u003c\/p\u003e \u003cp\u003eSimple Random Assignment.\u003c\/p\u003e \u003cp\u003eSimple Random Sampling.\u003c\/p\u003e \u003cp\u003eSimple V Composite Tests.\u003c\/p\u003e \u003cp\u003eSimulation Methods for Categorical Variables.\u003c\/p\u003e \u003cp\u003eSimultaneous Confidence Interval.\u003c\/p\u003e \u003cp\u003eSingle and Double-Blind Procedures.\u003c\/p\u003e \u003cp\u003eSingle-Case Designs.\u003c\/p\u003e \u003cp\u003eSkewness.\u003c\/p\u003e \u003cp\u003eSlicing Inverse Regression.\u003c\/p\u003e \u003cp\u003eSnedecor, George Waddell.\u003c\/p\u003e \u003cp\u003eSocial Interaction Models.\u003c\/p\u003e \u003cp\u003eSocial Networks.\u003c\/p\u003e \u003cp\u003eSocial Psychology.\u003c\/p\u003e \u003cp\u003eSocial Validity.\u003c\/p\u003e \u003cp\u003eSoftware for Behavioral Genetics.\u003c\/p\u003e \u003cp\u003eSoftware for Statistical Analyses.\u003c\/p\u003e \u003cp\u003eSpearman, Charles Edward.\u003c\/p\u003e \u003cp\u003eSpearman's Rho.\u003c\/p\u003e \u003cp\u003eSphericity Test.\u003c\/p\u003e \u003cp\u003eStandard Deviation.\u003c\/p\u003e \u003cp\u003eStandard Error.\u003c\/p\u003e \u003cp\u003eStandardized Regression Coefficients.\u003c\/p\u003e \u003cp\u003eStanine Scores.\u003c\/p\u003e \u003cp\u003eStar and Profile Plots.\u003c\/p\u003e \u003cp\u003eState Dependence.\u003c\/p\u003e \u003cp\u003eStatistical Models.\u003c\/p\u003e \u003cp\u003eStatistical Models for Causation: A Critical Review.\u003c\/p\u003e \u003cp\u003eStem and Leaf Plot.\u003c\/p\u003e \u003cp\u003eStephenson, William.\u003c\/p\u003e \u003cp\u003eStevens, S S.\u003c\/p\u003e \u003cp\u003eStratification.\u003c\/p\u003e \u003cp\u003eStructural Equation Modeling and Test Validation.\u003c\/p\u003e \u003cp\u003eStructural Equation Modeling: Categorical Variables.\u003c\/p\u003e \u003cp\u003eStructural Equation Modeling: Checking Substantive Plausibility.\u003c\/p\u003e \u003cp\u003eStructural Equation Modeling: Mixture Models.\u003c\/p\u003e \u003cp\u003eStructural Equation Modeling: Multilevel.\u003c\/p\u003e \u003cp\u003eStructural Equation Modeling: Nontraditional Alternatives.\u003c\/p\u003e \u003cp\u003eStructural Equation Modeling: Overview.\u003c\/p\u003e \u003cp\u003eStructural Equation Modeling: Software.\u003c\/p\u003e \u003cp\u003eStructural Equation Modeling:Latent Growth Curve Analysis.\u003c\/p\u003e \u003cp\u003eStructural Equation Modeling:Nonstandard Cases.\u003c\/p\u003e \u003cp\u003eStructural Zeros.\u003c\/p\u003e \u003cp\u003eSubjective Probability and Human Judgement.\u003c\/p\u003e \u003cp\u003eSummary Measure Analysis of Longitudinal Data.\u003c\/p\u003e \u003cp\u003eSurvey Questionnaire Design.\u003c\/p\u003e \u003cp\u003eSurvey Sampling Procedures.\u003c\/p\u003e \u003cp\u003eSurvival Analysis.\u003c\/p\u003e \u003cp\u003eSymmetry Plot.\u003c\/p\u003e \u003cp\u003eSymmetry: Distribution Free Tests for.\u003c\/p\u003e \u003cp\u003eTau-Equivalent and Congeneric Measurements.\u003c\/p\u003e \u003cp\u003eTeaching Statistics to Psychologists.\u003c\/p\u003e \u003cp\u003eTeaching Statistics: Sources.\u003c\/p\u003e \u003cp\u003eTelephone Surveys.\u003c\/p\u003e \u003cp\u003eTest Bias Detection.\u003c\/p\u003e \u003cp\u003eTest Construction.\u003c\/p\u003e \u003cp\u003eTest Construction: Automated.\u003c\/p\u003e \u003cp\u003eTest Dimensionality: Assessment of.\u003c\/p\u003e \u003cp\u003eTest Translation.\u003c\/p\u003e \u003cp\u003eTetrachoric Correlation.\u003c\/p\u003e \u003cp\u003eTheil Slope Estimate.\u003c\/p\u003e \u003cp\u003eThomson, Godfrey Hilton.\u003c\/p\u003e \u003cp\u003eThree dimensional (3D) Scatterplots.\u003c\/p\u003e \u003cp\u003eThree-Mode Component and Scaling Methods.\u003c\/p\u003e \u003cp\u003eThurstone, Louis Leon.\u003c\/p\u003e \u003cp\u003eTime Series Analysis.\u003c\/p\u003e \u003cp\u003eTolerance and Variance Inflation Factor.\u003c\/p\u003e \u003cp\u003eTransformation.\u003c\/p\u003e \u003cp\u003eTree Models.\u003c\/p\u003e \u003cp\u003eTrellis Graphics.\u003c\/p\u003e \u003cp\u003eTrend Tests for Counts and Proportions.\u003c\/p\u003e \u003cp\u003eTrimmed Means.\u003c\/p\u003e \u003cp\u003eT-Scores.\u003c\/p\u003e \u003cp\u003eTukey Quick Test.\u003c\/p\u003e \u003cp\u003eTukey, John   Wilder.\u003c\/p\u003e \u003cp\u003eTversky, Amos.\u003c\/p\u003e \u003cp\u003eTwin Designs.\u003c\/p\u003e \u003cp\u003eTwins Reared Apart Design.\u003c\/p\u003e \u003cp\u003eTwo by Two Contingency Tables.\u003c\/p\u003e \u003cp\u003eTwo-mode Clustering.\u003c\/p\u003e \u003cp\u003eTwo-way Factorial: Distribution-Free Methods.\u003c\/p\u003e \u003cp\u003eType I, Type II and Type III Sums of Squares.\u003c\/p\u003e \u003cp\u003eUltrametric Inequality.\u003c\/p\u003e \u003cp\u003eUltrametric Trees.\u003c\/p\u003e \u003cp\u003eUnidimensional Scaling.\u003c\/p\u003e \u003cp\u003eUrban, F M.\u003c\/p\u003e \u003cp\u003eUtility Theory.\u003c\/p\u003e \u003cp\u003eValidity Theory and Applications.\u003c\/p\u003e \u003cp\u003eVariable Selection.\u003c\/p\u003e \u003cp\u003eVariance.\u003c\/p\u003e \u003cp\u003eVariance Components.\u003c\/p\u003e \u003cp\u003eWalsh Averages.\u003c\/p\u003e \u003cp\u003eWiener, Norbert.\u003c\/p\u003e \u003cp\u003eWilcoxon, Frank.\u003c\/p\u003e \u003cp\u003eWilcoxon-Mann-Whitney test.\u003c\/p\u003e \u003cp\u003eWinsorized Robust Measures.\u003c\/p\u003e \u003cp\u003eWithin Case Designs: Distribution Free Methods.\u003c\/p\u003e \u003cp\u003eYates' Correction.\u003c\/p\u003e \u003cp\u003eYates, Frank.\u003c\/p\u003e \u003cp\u003eYule, George Udny.\u003c\/p\u003e \u003cp\u003eZ-Scores.\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Mathematics [\u003ca title=\"See our other books on Mathematics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Mathematics%20%5BPB%5D%22\"\u003ePB\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley","offers":[{"title":"Brand New","offer_id":52278056124696,"sku":"9780470860809","price":1465.89,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9780470860809.jpg?v=1781457754","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/encyclopedia-of-statistics-in-behavioral-science-hardback-9780470860809","provider":"Freshly Printed Books","version":"1.0","type":"link"}