.

0 (hodnocen0 x )

BK

Thousand Oaks : Sage Publications, c2004

xiii, 511 s. : il-. grafy ; 26 cm

ISBN 0-7619-2359-4 (váz.)

Obsahuje tabulky

Obsahuje bibliografie, rejstříky, biografie

000111289

Preface // Acknowledgments // Section I Scaling // Chapter 1 Dual Scaling - Shizuhiko Nishisato // Chapter 2 Multidimensional Scalin and Unfolding of Symmetric and Asymmetric Proximity Relations - Willem J. Heiser and Frank M. T A. Busing // Chapter 3 Principal Components Analysis With Nonlinear Optimal Scaling Transformations for Ordinal and Nominal Data 49 - Jacqueline J. Meulman, Anita J. Van der Kooij, and Willem J. Heiser // Section II Testing and Measurement // Chapter 4 Responsible Modeling of Measurement Data for Appropriate Inferences: Important Advances in Reliability and Validity Theory 73 -Bruno D. Zumbo and André A. Rupp // Chapter 5 Test Modelin 93 - Ratna Nandakumar and Terry Ackerman // Chapter 6 Differential Item Functioning Analysis: / Detecting DIF Items and Testing DIF Hypotheses 107 - Louis A. Roussos and William Stout // Chapter 7 Understanding Computerized Adaptive Testing: From Robbins-Monro to Lord and Beyond 117 - Hua-Hua Chang // Section III Models for Categorical Data // Chapter 8 Trends in Categorical Data Analysis: New, Semi-New, and Recycled Ideas 137 - David Rindskopf // Chapter 9 Ordinal Regression Models 151 - Valen E. Johnson and James H. Albert // Chapter 10 Latent Class Models 175 - Jay Magidson and Jeroen K. Vermunt // Chapter 11 Discrete-Time Survival Analysis 199 - John B. Willett and Judith D. Singer // Section IV Models for Multilevel Data // Chapter 12 An Introduction to Growth Modeling 215 - Donald Hedeker // Chapter 13 Multilevel Models for School Effectiveness Research 235 - Russell W. Rumberger and Gregory J. Palardy // Chapter 14 The Use of Hierarchical Models in Analyzing Data From Experiments and Quasi-Experiments Conducted in Field Settings 259 - Michael Seltzer // Chapter 15 Meta-Analysis 281 - Spyros Konstantopoulos and Larry V. Hedges // Section V Models for Latent Variables //

Chapter 16 Determining the Number of Factors in Exploratory and Confirmatory Factor Analysis 301 - Rick H. Hoyle and Jamieson L. Duvall // Chapter 17 Experimental, Quasi-Experimental, and Nonexperimental Design and Analysis With Latent Variables 317 - Gregory R. Hancock // Chapter 18 Applying Dynamic Factor Analysis in Behavioral and Social Science Research - John R. Nesselroade and Peter C. M. Molenaar // Chapter 19 Latent Variable Analysis: Growth Mixture Modelin and Related Techniques for Longitudinal Data 345 - Bengt Muthen // Section VI Foundational Issues // Chapter 20 Probabilistic Modeling With Bayesian Networks 371 - Richard E. Neapolitan and Scott Morris // Chapter 21 The Null Ritual: What You Always Wanted to Know About Significance Testing but Were Afraid to Ask 391 - Gerd Gigerenzer, Stefan Krauss, and Oliver Vitouch // Chapter 22 On Exogeneity 409 - David Kaplan // Chapter 23 Objectivity in Science and Structural Equation Modeling 425 - Stanley A. Mulaik // Chapter 24 Causal Inference 447 - Peter Spirtes, Richard Schemes, Clark Glymour, Thomas Richardson, and Christopher Meek // Name Index 479 // Subject Index 493 // About the Editor 505 // About the Contributors 507