This series presents methodological techniques for investigators and students.
Each volume focuses on a specific method with the goal of providing an understanding and working knowledge of each method with a minimum of mathematical derivations.
Latent Variable and Latent Structure Models
An Introduction to Latent Variable Growth Curve Modeling Concepts, Issues, and Application, Second Edition
Applying Generalizability Theory using EduG
By Dimiter Dimitrov
July 18, 2023
D-scoring Method of Measurement presents a unified framework of classical and latent measurement referred to as D-scoring method of measurement (DSM). Provided are detailed descriptions of DSM procedures and illustrative examples of how to apply the DSM in various scenarios of measurement. The DSM...
By Ronald H. Heck, Scott L. Thomas, Lynn N. Tabata
April 12, 2022
Multilevel and Longitudinal Modeling with IBM SPSS, Third Edition, demonstrates how to use the multilevel and longitudinal modeling techniques available in IBM SPSS Versions 25-27. Annotated screenshots with all relevant output provide readers with a step-by-step understanding of each technique as ...
By Ronald Heck, Scott L. Thomas
April 07, 2020
Multilevel modelling is a data analysis method that is frequently used to investigate hierarchal data structures in educational, behavioural, health, and social sciences disciplines. Multilevel data analysis exploits data structures that cannot be adequately investigated using single-level analytic...
By Iasonas Lamprianou
December 05, 2019
This unique text provides a step-by-step beginner’s guide to applying the Rasch model in R, a probabilistic model used by researchers across the social sciences to measure unobservable ("latent") variables. Each chapter is devoted to one popular Rasch model, ranging from the least to the most ...
By Joop Hox, Mirjam Moerbeek, Rens van de Schoot
September 14, 2017
Applauded for its clarity, this accessible introduction helps readers apply multilevel techniques to their research. The book also includes advanced extensions, making it useful as both an introduction for students and as a reference for researchers. Basic models and examples are discussed in ...
By George A. Marcoulides, Irini Moustaki
July 09, 2013
This edited volume features cutting-edge topics from the leading researchers in the areas of latent variable modeling. Content highlights include coverage of approaches dealing with missing values, semi-parametric estimation, robust analysis, hierarchical data, factor scores, multi-group analysis, ...
By John J. McArdle, Gilbert Ritschard
August 27, 2013
This book reviews the latest techniques in exploratory data mining (EDM) for the analysis of data in the social and behavioral sciences to help researchers assess the predictive value of different combinations of variables in large data sets. Methodological findings and conceptual models that ...
By L. Andries van der Ark, Marcel A. Croon, Klaas Sijtsma
July 09, 2013
Categorical data are quantified as either nominal variables--distinguishing different groups, for example, based on socio-economic status, education, and political persuasion--or ordinal variables--distinguishing levels of interest, such as the preferred politician or the preferred type of ...
By Terry E. Duncan, Susan C. Duncan, Lisa A. Strycker
May 23, 2006
This book provides a comprehensive introduction to latent variable growth curve modeling (LGM) for analyzing repeated measures. It presents the statistical basis for LGM and its various methodological extensions, including a number of practical examples of its use. It is designed to take advantage ...
By Ronald H Heck, Scott Thomas, Lynn N. Tabata
April 16, 2012
This is the first workbook that introduces the multilevel approach to modeling with categorical outcomes using IBM SPSS Version 20. Readers learn how to develop, estimate, and interpret multilevel models with categorical outcomes. The authors walk readers through data management, diagnostic tools, ...
By Jean Cardinet, Sandra Johnson, Gianreto Pini
October 28, 2009
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 Generalizability Theory (G theory). G theory conceptually models the way in which the reliability of measurement is ascertained....
By Bert Creemers, Leonidas Kyriakides, Pam Sammons
June 02, 2010
Methodological Advances in Educational Effectiveness Research is an important new work by some of the leading researchers in the field of Educational Effectiveness Research (EER). The book provides a state of the art snapshot of the methodology of EER now and clearly demonstrates the way it is ...