The Sage handbook of quantitative methodology for the social sciences / David Kaplan, editor.

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.