The SAGE handbook of quantitative methodology for the social sciences / David Kaplan, editor.
Material type: TextPublication details: Thousand Oaks, Calif. ; London : SAGE, 2004.Description: 1 online resource (xiii, 511 pages) : illustrationsContent type:- text
- computer
- online resource
- 9781412973502
- 1412973503
- 9781412986311
- 1412986311
- 9781483365879
- 1483365875
- Available from some providers with title: Sage research methods online
- Quantitative methodology for the social sciences
- Social sciences -- Research -- Methodology
- Social sciences -- Statistical methods
- Social sciences -- Mathematical models
- Sciences sociales -- Recherche -- Méthodologie
- Sciences sociales -- Modèles mathématiques
- Sciences sociales -- Méthodes statistiques
- REFERENCE -- Questions & Answers
- Social sciences -- Research -- Methodology
- Social sciences -- Statistical methods
- Empirische Sozialforschung
- Quantitative Methode
- Sociaal-wetenschappelijk onderzoek
- Kwantitatieve methoden
- Sciences sociales
- Méthode quantitative
- Modèle mathématique
- Méthodologie de recherche
- 001.4220243 22
- H62
Item type | Home library | Collection | Call number | Materials specified | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|---|
Electronic-Books | OPJGU Sonepat- Campus | E-Books EBSCO | Available |
Includes bibliographical references and index.
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.
Print version record.
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 [and others].
English.
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