Contemporary Psychometrics
Herausgeber: Maydeu-Olivares, Albert; McArdle, John J
Contemporary Psychometrics
Herausgeber: Maydeu-Olivares, Albert; McArdle, John J
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This book is intended as a celebration of the seminal work of Rod McDonald's career and covers a wide range of topics in psychometrics.
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This book is intended as a celebration of the seminal work of Rod McDonald's career and covers a wide range of topics in psychometrics.
Produktdetails
- Produktdetails
- Verlag: CRC Press
- Seitenzahl: 600
- Erscheinungstermin: 1. Mai 2013
- Englisch
- Abmessung: 229mm x 152mm x 31mm
- Gewicht: 794g
- ISBN-13: 9780415646956
- ISBN-10: 0415646952
- Artikelnr.: 36540918
- Verlag: CRC Press
- Seitenzahl: 600
- Erscheinungstermin: 1. Mai 2013
- Englisch
- Abmessung: 229mm x 152mm x 31mm
- Gewicht: 794g
- ISBN-13: 9780415646956
- ISBN-10: 0415646952
- Artikelnr.: 36540918
Albert Maydeu-Olivares (Edited by) , John J. McArdle (Edited by)
Contents: Preface. Roderick P. McDonald: A Personal Story. Part I: Test Theory.T.A. Ackerman
Multidimensional Item Response Theory Modeling. D.M. Bolt
Limited- and Full-Information Estimation of Item Response Theory Models. A. Maydeu-Olivares
Linear Item Response Theory
Non-Linear Item Response Theory and Factor Analysis: A Unified Framework. J.L. Horn
Neglected Thinking About Measurement in Behavioral Science Research. Part II: Factor Analysis Models.W.R. Krane
K.L. Slaney
A General Introduction to the Common Factor Model. R.E. Millsap
Four Unresolved Problems in Studies of Factorial Invariance. S.A. Mulaik
Looking Back on the Indeterminacy Controversies in Factor Analysis. M. Aitkin
I. Aitkin
Bayesian Inference for Factor Scores. Part III: Structural Equation Models and Related Methods.J.J. McArdle
The Development of the RAM Rules for Latent Variable Structural Equation Modeling. H.W. Marsh
K-T. Hau
D. Grayson
Goodness of Fit in Structural Equation Modeling. W.M. Hartmann
Resampling Methods in Structural Equation Modeling. J.H. Steiger
Comparing Correlations: Pattern Hypothesis Tests Between and/or Within Independent Samples. M.W. Browne
J.R. Nesselroade
Representing Psychological Processes With Dynamic Factor Models: Some Promising Uses and Extensions of Autoregressive Moving Average Time Series Models. H. Goldstein
W. Browne
Multilevel Factor Analysis Models for Continuous and Discrete Data. Part IV: Multivariate Analysis.S. Nishisato
On the Scaling of Ordinal Measurement: A Dual-Scaling Perspective. W.F. Velicer
S.M. Colby
Missing Data and the General Transformation Approach to Time Series Analysis. L.L. Harlow
Making Meaning of Multivariate Methods.
Multidimensional Item Response Theory Modeling. D.M. Bolt
Limited- and Full-Information Estimation of Item Response Theory Models. A. Maydeu-Olivares
Linear Item Response Theory
Non-Linear Item Response Theory and Factor Analysis: A Unified Framework. J.L. Horn
Neglected Thinking About Measurement in Behavioral Science Research. Part II: Factor Analysis Models.W.R. Krane
K.L. Slaney
A General Introduction to the Common Factor Model. R.E. Millsap
Four Unresolved Problems in Studies of Factorial Invariance. S.A. Mulaik
Looking Back on the Indeterminacy Controversies in Factor Analysis. M. Aitkin
I. Aitkin
Bayesian Inference for Factor Scores. Part III: Structural Equation Models and Related Methods.J.J. McArdle
The Development of the RAM Rules for Latent Variable Structural Equation Modeling. H.W. Marsh
K-T. Hau
D. Grayson
Goodness of Fit in Structural Equation Modeling. W.M. Hartmann
Resampling Methods in Structural Equation Modeling. J.H. Steiger
Comparing Correlations: Pattern Hypothesis Tests Between and/or Within Independent Samples. M.W. Browne
J.R. Nesselroade
Representing Psychological Processes With Dynamic Factor Models: Some Promising Uses and Extensions of Autoregressive Moving Average Time Series Models. H. Goldstein
W. Browne
Multilevel Factor Analysis Models for Continuous and Discrete Data. Part IV: Multivariate Analysis.S. Nishisato
On the Scaling of Ordinal Measurement: A Dual-Scaling Perspective. W.F. Velicer
S.M. Colby
Missing Data and the General Transformation Approach to Time Series Analysis. L.L. Harlow
Making Meaning of Multivariate Methods.
Contents: Preface. Roderick P. McDonald: A Personal Story. Part I: Test Theory.T.A. Ackerman
Multidimensional Item Response Theory Modeling. D.M. Bolt
Limited- and Full-Information Estimation of Item Response Theory Models. A. Maydeu-Olivares
Linear Item Response Theory
Non-Linear Item Response Theory and Factor Analysis: A Unified Framework. J.L. Horn
Neglected Thinking About Measurement in Behavioral Science Research. Part II: Factor Analysis Models.W.R. Krane
K.L. Slaney
A General Introduction to the Common Factor Model. R.E. Millsap
Four Unresolved Problems in Studies of Factorial Invariance. S.A. Mulaik
Looking Back on the Indeterminacy Controversies in Factor Analysis. M. Aitkin
I. Aitkin
Bayesian Inference for Factor Scores. Part III: Structural Equation Models and Related Methods.J.J. McArdle
The Development of the RAM Rules for Latent Variable Structural Equation Modeling. H.W. Marsh
K-T. Hau
D. Grayson
Goodness of Fit in Structural Equation Modeling. W.M. Hartmann
Resampling Methods in Structural Equation Modeling. J.H. Steiger
Comparing Correlations: Pattern Hypothesis Tests Between and/or Within Independent Samples. M.W. Browne
J.R. Nesselroade
Representing Psychological Processes With Dynamic Factor Models: Some Promising Uses and Extensions of Autoregressive Moving Average Time Series Models. H. Goldstein
W. Browne
Multilevel Factor Analysis Models for Continuous and Discrete Data. Part IV: Multivariate Analysis.S. Nishisato
On the Scaling of Ordinal Measurement: A Dual-Scaling Perspective. W.F. Velicer
S.M. Colby
Missing Data and the General Transformation Approach to Time Series Analysis. L.L. Harlow
Making Meaning of Multivariate Methods.
Multidimensional Item Response Theory Modeling. D.M. Bolt
Limited- and Full-Information Estimation of Item Response Theory Models. A. Maydeu-Olivares
Linear Item Response Theory
Non-Linear Item Response Theory and Factor Analysis: A Unified Framework. J.L. Horn
Neglected Thinking About Measurement in Behavioral Science Research. Part II: Factor Analysis Models.W.R. Krane
K.L. Slaney
A General Introduction to the Common Factor Model. R.E. Millsap
Four Unresolved Problems in Studies of Factorial Invariance. S.A. Mulaik
Looking Back on the Indeterminacy Controversies in Factor Analysis. M. Aitkin
I. Aitkin
Bayesian Inference for Factor Scores. Part III: Structural Equation Models and Related Methods.J.J. McArdle
The Development of the RAM Rules for Latent Variable Structural Equation Modeling. H.W. Marsh
K-T. Hau
D. Grayson
Goodness of Fit in Structural Equation Modeling. W.M. Hartmann
Resampling Methods in Structural Equation Modeling. J.H. Steiger
Comparing Correlations: Pattern Hypothesis Tests Between and/or Within Independent Samples. M.W. Browne
J.R. Nesselroade
Representing Psychological Processes With Dynamic Factor Models: Some Promising Uses and Extensions of Autoregressive Moving Average Time Series Models. H. Goldstein
W. Browne
Multilevel Factor Analysis Models for Continuous and Discrete Data. Part IV: Multivariate Analysis.S. Nishisato
On the Scaling of Ordinal Measurement: A Dual-Scaling Perspective. W.F. Velicer
S.M. Colby
Missing Data and the General Transformation Approach to Time Series Analysis. L.L. Harlow
Making Meaning of Multivariate Methods.