The Resource Handbook of applied multivariate statistics and mathematical modeling, edited by Howard E.A. Tinsley, Steven D. Brown
Handbook of applied multivariate statistics and mathematical modeling, edited by Howard E.A. Tinsley, Steven D. Brown
 Summary
 Multivariate statistics and mathematical models provide flexible and powerful tools essential in most disciplines. Nevertheless, many practicing researchers lack an adequate knowledge of these techniques, or did once know the techniques, but have not been able to keep abreast of new developments. The Handbook of Applied Multivariate Statistics and Mathematical Modeling explains the appropriate uses of multivariate procedures and mathematical modeling techniques, and prescribe practices that enable applied researchers to use these procedures effectively without needing to concern themselves with the mathematical basis. The Handbook emphasizes using models and statistics as tools. The objective of the book is to inform readers about which tool to use to accomplish which task. Each chapter begins with a discussion of what kinds of questions a particular technique can and cannot answer. As multivariate statistics and modeling techniques are useful across disciplines, these examples include issues of concern in biological and social sciences as well as the humanities
 Language
 eng
 Extent
 1 online resource (xxviii, 721 pages)
 Contents

 Introduction.  H.E.A. Tinsley and S.D. Brown, Multivariate Statistics and Mathematical Modeling.  J. Hetherington, Role of Theory and Experimental Design in Multivariate Analysis and Mathematical Modeling.  R.V. Dawis, Scale Construction and Psychometric Considerations.  H.E.A. Tinsley and D.J. Weiss, Interrater Reliability and Agreement.  M. Hallahan and R. Rosenthal, Interpreting and Reporting Results.  A. Venter and S.E. Maxwell, Issues in the Use and Application of Multiple Regression Analysis.  C.J. Huberty and M.D. Petoskey, Multivariate Analysis of Variance and Covariance.  M.T. Brown and L.R. Wicker, Discriminant Analysis.  R.M. Thorndike, Canonical Correlation Analysis.  R. Cudeck, Exploratory Factor Analysis.  P.A. Gore, Jr., Cluster Analysis.  M.L. Davison and S.G. Sireci, Multidimensional Scaling.  M.M. Mark, C.S. Reichardt, and L.J. Sanna, TimeSeries Designs and Analyses.  P.B. Imrey, Poisson Regression, Logistic Regression, and Loglinear Models for Random Counts.  L.F. Dilalla, Structural Equation Modeling: Uses and Issues.  R.H. Hoyle, Confirmatory Factor Analysis.  B.J. Becker, Multivariate Metaanalysis.  G.A. Marcoulides, Generalizability Theory.  R.K. Hambelton, F. Robin, and D. Xing, Item Response Models for the Analysis of Educational and Psychological Test Data.  L. Dumenci, MultitraitMultimethod Analysis.  I.G.G. Kreft, Using Random Coefficient Linear Models for the Analysis of Hierarchically Nested Data.  T.J.G. Tracey, Analysis of Circumplex Models.  J.B. Willett and M.K. Keiley, Using Covariance Structure Analysis to Model Change over Time.  Author Index.  Subject Index
 Multivariate statistics and mathematical modeling / Howard E.A. Tinsley and Steven D. Brown  Role of theory and experimental design in multivariate analysis and mathematical modeling / John Hetherington  Scale construction and psychometric considerations / Rene V. Dawis  Interrater reliability and agreement / Howard E.A. Tinsley and David J. Weiss  Interpreting and reporting results / Mark Hallahan and Robert Rosenthal  Issues in the use and application of multiple regression analysis / Anre Venter and Scott E. Maxwell  Multivariate analysis of variance and covariance / Carl J Huberty and Martha D. Petoskey  Discriminant analysis / Michael T. Brown and Lori R. Wicker  Canonical correlation analysis / Robert M. Thorndike  Exploratory factor analysis / Robert Cudeck  Cluster analysis / Paul A. Gore, Jr.  Multidimensional scaling / Mark L. Davison and Stephen G. Sireci  Timeseries designs and analyses / Melvin M. Mark, Charles S. Reichardt, and Lawrence J. Sanna  Poisson regression, logistic regression, and loglinear models for random counts / Peter B. Imrey  Structural equation modeling : uses and issues / Lisabeth F. Dilalla Confirmatory factor analysis / Rick H. Hoyle  Multivariate metaanalysis / Betsy J. Becker  Generalizability theory / George A. Marcoulides  Item response models for the analysis of educational and psychological test data / Ronald K. Hambleton, Frederic Robin, and Dehui Xing  Multitraitmultimethod analysis / Levent Dumenci  Using random coefficient linear models for the analysis of hierarchically nested data / Ita G.G. Kreft  Analysis of circumplex models / Terence J.G. Tracey  Using covariance structure analysis to model change over time / John B. Willett and Margaret K. Keiley
 Isbn
 9780080533568
 Label
 Handbook of applied multivariate statistics and mathematical modeling
 Title
 Handbook of applied multivariate statistics and mathematical modeling
 Statement of responsibility
 edited by Howard E.A. Tinsley, Steven D. Brown
 Language
 eng
 Summary
 Multivariate statistics and mathematical models provide flexible and powerful tools essential in most disciplines. Nevertheless, many practicing researchers lack an adequate knowledge of these techniques, or did once know the techniques, but have not been able to keep abreast of new developments. The Handbook of Applied Multivariate Statistics and Mathematical Modeling explains the appropriate uses of multivariate procedures and mathematical modeling techniques, and prescribe practices that enable applied researchers to use these procedures effectively without needing to concern themselves with the mathematical basis. The Handbook emphasizes using models and statistics as tools. The objective of the book is to inform readers about which tool to use to accomplish which task. Each chapter begins with a discussion of what kinds of questions a particular technique can and cannot answer. As multivariate statistics and modeling techniques are useful across disciplines, these examples include issues of concern in biological and social sciences as well as the humanities
 Cataloging source
 OPELS
 Illustrations
 illustrations
 Index
 index present
 Literary form
 non fiction
 Nature of contents

 dictionaries
 bibliography
 Label
 Handbook of applied multivariate statistics and mathematical modeling, edited by Howard E.A. Tinsley, Steven D. Brown
 Link
 http://libproxy.rpi.edu/login?url=http://app.knovel.com/hotlink/toc/id:kpHAMSMM01/handbookofapplied
 Bibliography note
 Includes bibliographical references and indexes
 Carrier category
 online resource
 Carrier category code
 cr
 Carrier MARC source
 rdacarrier
 Color
 multicolored
 Content category
 text
 Content type code
 txt
 Content type MARC source
 rdacontent
 Contents

 Introduction.  H.E.A. Tinsley and S.D. Brown, Multivariate Statistics and Mathematical Modeling.  J. Hetherington, Role of Theory and Experimental Design in Multivariate Analysis and Mathematical Modeling.  R.V. Dawis, Scale Construction and Psychometric Considerations.  H.E.A. Tinsley and D.J. Weiss, Interrater Reliability and Agreement.  M. Hallahan and R. Rosenthal, Interpreting and Reporting Results.  A. Venter and S.E. Maxwell, Issues in the Use and Application of Multiple Regression Analysis.  C.J. Huberty and M.D. Petoskey, Multivariate Analysis of Variance and Covariance.  M.T. Brown and L.R. Wicker, Discriminant Analysis.  R.M. Thorndike, Canonical Correlation Analysis.  R. Cudeck, Exploratory Factor Analysis.  P.A. Gore, Jr., Cluster Analysis.  M.L. Davison and S.G. Sireci, Multidimensional Scaling.  M.M. Mark, C.S. Reichardt, and L.J. Sanna, TimeSeries Designs and Analyses.  P.B. Imrey, Poisson Regression, Logistic Regression, and Loglinear Models for Random Counts.  L.F. Dilalla, Structural Equation Modeling: Uses and Issues.  R.H. Hoyle, Confirmatory Factor Analysis.  B.J. Becker, Multivariate Metaanalysis.  G.A. Marcoulides, Generalizability Theory.  R.K. Hambelton, F. Robin, and D. Xing, Item Response Models for the Analysis of Educational and Psychological Test Data.  L. Dumenci, MultitraitMultimethod Analysis.  I.G.G. Kreft, Using Random Coefficient Linear Models for the Analysis of Hierarchically Nested Data.  T.J.G. Tracey, Analysis of Circumplex Models.  J.B. Willett and M.K. Keiley, Using Covariance Structure Analysis to Model Change over Time.  Author Index.  Subject Index
 Multivariate statistics and mathematical modeling / Howard E.A. Tinsley and Steven D. Brown  Role of theory and experimental design in multivariate analysis and mathematical modeling / John Hetherington  Scale construction and psychometric considerations / Rene V. Dawis  Interrater reliability and agreement / Howard E.A. Tinsley and David J. Weiss  Interpreting and reporting results / Mark Hallahan and Robert Rosenthal  Issues in the use and application of multiple regression analysis / Anre Venter and Scott E. Maxwell  Multivariate analysis of variance and covariance / Carl J Huberty and Martha D. Petoskey  Discriminant analysis / Michael T. Brown and Lori R. Wicker  Canonical correlation analysis / Robert M. Thorndike  Exploratory factor analysis / Robert Cudeck  Cluster analysis / Paul A. Gore, Jr.  Multidimensional scaling / Mark L. Davison and Stephen G. Sireci  Timeseries designs and analyses / Melvin M. Mark, Charles S. Reichardt, and Lawrence J. Sanna  Poisson regression, logistic regression, and loglinear models for random counts / Peter B. Imrey  Structural equation modeling : uses and issues / Lisabeth F. Dilalla Confirmatory factor analysis / Rick H. Hoyle  Multivariate metaanalysis / Betsy J. Becker  Generalizability theory / George A. Marcoulides  Item response models for the analysis of educational and psychological test data / Ronald K. Hambleton, Frederic Robin, and Dehui Xing  Multitraitmultimethod analysis / Levent Dumenci  Using random coefficient linear models for the analysis of hierarchically nested data / Ita G.G. Kreft  Analysis of circumplex models / Terence J.G. Tracey  Using covariance structure analysis to model change over time / John B. Willett and Margaret K. Keiley
 http://library.link/vocab/cover_art
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 Dimensions
 unknown
 http://library.link/vocab/discovery_link
 {'f': 'http://opac.lib.rpi.edu/record=b3677985'}
 Extent
 1 online resource (xxviii, 721 pages)
 Form of item
 online
 Isbn
 9780080533568
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code
 c
 Other physical details
 illustrations
 Reproduction note
 Electronic reproduction.
 Specific material designation
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 System details
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