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The SAGE handbook of quantitative methodology for the social sciences [[electronic resource] /] / David Kaplan, editor



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Titolo: The SAGE handbook of quantitative methodology for the social sciences [[electronic resource] /] / David Kaplan, editor Visualizza cluster
Pubblicazione: Thousand Oaks, Calif. ; ; London, : SAGE, 2004
Descrizione fisica: 1 online resource (xiii, 511 p.) : ill
Disciplina: 001.4220243
Soggetto topico: Social sciences - Research - Methodology
Social sciences - Statistical methods
Altri autori: KaplanDavid <1955->  
Note generali: Bibliographic Level Mode of Issuance: Monograph
Nota di bibliografia: Includes bibliographical references and indexes.
Nota di contenuto: ; Section I. Scaling -- Dual Scaling / Shizuhiko Nishisato -- Multidimensional Scaling and Unfolding of Symmetric and Asymmetric Proximity Relations / Willem J. Heiser and Frank M.T.A. Busing -- Principal Components Analysis with Nonlinear Optimal Scaling Transformations for Ordinal and Nominal Data / Jacqueline J. Meulman, Anita J. Van der Kooij, and Willem J. Heiser -- ; Section II. Testing and Measurement -- Responsible Modeling of Measurement Data For Appropriate Inferences : Important Advances in Reliability and Validity Theory / Bruno D. Zumbo & André A. Rupp -- Test Modeling / Ratna Nandakumar and Terry Ackerman -- Differential Item Functioning Analysis : Detecting DIF Items and Testing DIF Hypotheses / Louis A. Roussos and William Stout -- Understanding Computerized Adaptive Testing : From Robbins-Monro to Lord, and Beyond / Hua-Hua Chang -- ; Section III. Models for Categorical Data --
Trends in Categorical Data Analysis : New, Semi-new, and Recycled Ideas / David Rindskopf -- Ordinal Regression Models / Valen E. Johnson and James H. Albert -- Latent Class Models / Jay Magidson and Jeroen K. Vermunt -- Discrete-Time Survival Analysis / John B. Willett and Judith D. Singer -- ; Section IV. Models For Multilevel Data -- An Introduction to Growth Modeling / Donald Hedeker -- Multilevel Models for School Effectiveness Research / Russell W. Rumberger and Gregory J. Palardy -- The Use of Hierarchical Models in Analyzing Data From Experiments and Quasi-Experiments Conducted in Field Settings / Michael Seltzer -- Meta-analysis / Spyros Konstantopoulos and Larry V. Hedges -- ; Section V. Models For Latent Variables -- Determining the Number of Factors in Exploratory and Confirmatory Factor Analysis / Rick H. Hoyle and Jamieson L. Duvall --
Experimental, Quasi-Experimental, and Nonexperimental design and Analysis with Latent Variables / Gregory R. Hancock -- Applying Dynamic Factor Analysis in Behavioral and Social Science Research / John R. Nesselroade and Peter C. M. Molenaar -- Latent Variable Analysis : Growth Mixture Modeling and Related Techniques For Longitudinal Data / Bengt Muthén -- ; Section VI. Foundational Issues -- Probabilistic Modeling with Bayesian Networks / Richard E. Neapolitan and Scott Morris -- The Null Ritual : What You Always Wanted to Know About Significance Testing but Were Afraid to Ask / Gerd Gigerenzer, Stefan Krauss, and Oliver Vitouch -- On Exogeneity / David Kaplan -- Objectivity in Science and Structural Equation Modeling / Stanley A. Mulaik -- Causal Inference / Peter Spirtes ... [et al.].
Sommario/riassunto: Quantitative methodology is a highly specialized field. This handbook is intended to introduce applied statisticians empirical researchers & graduate students to the broad array of state-of-the-art quantitative methodologies in the social sciences.
Altri titoli varianti: Quantitative methodology for the social sciences
Titolo autorizzato: The SAGE handbook of quantitative methodology for the social sciences  Visualizza cluster
ISBN: 1-4833-6587-5
1-4129-8631-1
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910779550103321
Lo trovi qui: Univ. Federico II
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