Bøker i Quantitative Methodology Series-serien

This volume concentrates on latent class analysis and item response theory. These methods use latent variables to explain the relationships among observed categorical variables. Latent class analysis yields the classification of a group of respondents ac

Provides an introduction to latent variable growth curve modeling (LGM) for analyzing repeated measures. This work presents the statistical basis for LGM and its various methodological extensions, including a number of practical examples of its use. It presents a variety of LGM techniques that are useful for different research designs.

A collection of studies on modern categorical data analysis methods, emphasizing their application to relevant and interesting datasets. A prominent breakthrough in categorical data analysis is the development and use of latent variable models.

Presents a snapshot of the methodology of Educational Effectiveness Research (EER) and demonstrates the way it is applied in both research and evaluation.

Generalizability Theory (G theory) conceptually models the way in which the reliability of measurement is ascertained. Intended to help improve measurement and data collection methods in the behavioral, social, and medical sciences, this book demonstrates an expanded and accessible use of G Theory.

The purpose of this edited volume is to introduce the latest issues and developments in latent variable and latent structure models.