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The Sage handbook of quantitative methodology for the social sciences
- Available as
- Online
- Physical
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- Creator
- David Kaplan, editor
- Format
- Books
- Language
- English
- Contributors
- Publication
-
- Thousand Oaks, Calif. : Sage, [2004]
- ©2004
- Physical Details
-
- xiii, 511 pages : illustrations ; 26 cm
- ISBNs
- 1412986311, 0761923594, 9780761923596, 9781483365879, 1322284067, 1483365875, 9781412986311
- OCLC
- ocn738380435, ocm53970601
- Includes bibliographical references and indexes.
- Dual scaling -- Multidimensional scaling and unfolding of symmetric and asymmetric proximity relations -- Principal components analysis with nonlinear optimal scaling transformations for ordinal and nominal data -- Responsible modeling of measurement data for appropriate inferences : important advances in reliability and validity theory -- Test modeling -- Differential item functioning analysis : detecting DIF items and testing DIF hypotheses -- Understanding computerized adaptive testing : from Robbins-Monro to Lord and beyond -- Trends in categorical data analysis : new, semi-new, and recycled ideas -- Ordinal regression models -- Latent class models -- Discrete-time survival analysis -- An introduction to growth modeling -- Multilevel models for school effectiveness research -- The use of hierarchical models in analyzing data from experiments and quasi-experiments conducted in field settings -- Meta-analysis -- Determining the number of factors in exploratory and confirmatory factor analysis -- Experimental, quasi-experimental, and nonexperimental design and analysis with latent variables -- Applying dynamic factor analysis in behavioral and social science research -- Latent variable analysis : growth mixture modeling and related techniques for longitudinal data -- Probabilistic modeling with Bayesian networks -- The null ritual : what you always wanted to know about significance testing but were afraid to ask -- On exogeneity -- Objectivity in science and structural equation modeling -- Causal inference