Handbook of Applied Multivariate Statistics and Mathematical Modeling
Editat de Howard E.A. Tinsley, Steven D. Brownen Limba Engleză Hardback – 21 mai 2000
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Specificații
ISBN-13: 9780126913606
ISBN-10: 0126913609
Pagini: 760
Ilustrații: 1
Dimensiuni: 152 x 229 x 47 mm
Greutate: 1.16 kg
Ediția:00003
Editura: ELSEVIER SCIENCE
ISBN-10: 0126913609
Pagini: 760
Ilustrații: 1
Dimensiuni: 152 x 229 x 47 mm
Greutate: 1.16 kg
Ediția:00003
Editura: ELSEVIER SCIENCE
Public țintă
Scientific researchers, academics, and research professionals in applied settings in the biological and social sciences; as a reader in an advanced-level multivariate statistics courseCuprins
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, Time-Series 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 Meta-analysis.
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, Multitrait-Multimethod 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.
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, Time-Series 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 Meta-analysis.
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, Multitrait-Multimethod 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.