This volume not only examines research on human cognitive abilities, but also discusses different views on how human intellectual abilities apply in practical settings such as schools, as well as various theories surrounding the topic.
This volume not only examines research on human cognitive abilities, but also discusses different views on how human intellectual abilities apply in p...
Contemporary Psychometrics features cutting edge chapters organized in four sections: test theory, factor analysis, structural equation modeling, and multivariate analysis.
The section on test theory includes topics such as multidimensional item response theory (IRT), the relationship between IRT and factor analysis, estimation and testing of these models, and basic measurement issues that are often neglected.
The factor analysis section reviews the history and development of the model, factorial invariance and factor analysis indeterminacy, and Bayesian inference...
Contemporary Psychometrics features cutting edge chapters organized in four sections: test theory, factor analysis, structural equation mo...
Contemporary Psychometrics features cutting edge chapters organized in four sections: test theory, factor analysis, structural equation modeling, and multivariate analysis.
The section on test theory includes topics such as multidimensional item response theory (IRT), the relationship between IRT and factor analysis, estimation and testing of these models, and basic measurement issues that are often neglected.
The factor analysis section reviews the history and development of the model, factorial invariance and factor analysis indeterminacy, and Bayesian inference...
Contemporary Psychometrics features cutting edge chapters organized in four sections: test theory, factor analysis, structural equation mo...
When determining the most appropriate method for analyzing longitudinal data, you must first consider what research question you want to answer. In this book, McArdle and Nesselroade identify five basic purposes of longitudinal structural equation modeling. For each purpose, they present the most useful strategies and models. Two important but underused approaches are emphasized: multiple factorial invariance over time and latent change scores. The book covers a wealth of models in a straightforward, understandable manner. Rather than overwhelm the reader with an extensive amount of...
When determining the most appropriate method for analyzing longitudinal data, you must first consider what research question you want to answer. In t...
