Add to ORKGThis chapter offers a critique of the latent variable modeling approach taken by Ransdell et al. Suggestions for improving the analytical strategy are described, including the use of confirmatory factor analysis in conjunction with structural equation modeling. The chapter concludes with some examples of confirmatory factor analysis and structural equation modeling from other data sets in order to demonstrate each technique\u27s advantages and disadvantages. Finally, several directions for future research, including the use of longitudinal methods, are suggested in order to help constrain the direction of causative links between academic performance and its predictors
Although methods for latent variable modeling that allow a joint analysis of measurement and theory ...
Non-linear latent variable models are associated with problems which are difficult to handle in appl...
Latent variable models play an important role in psychological and educational measurement, which at...
The aim of an educational assessment is to measure a particular ability. The ability is usually oper...
One of the sources of continuing fascination and consternation in educational research is that many ...
Latent Variable Models: An Introduction to Factor, Path, and Structural Equation Analysis introduces...
The purpose of this project was to develop a structural model using several important variables rela...
Latent variable modelling has gradually become an integral part of mainstream statistics and is curr...
In education and social science, data often arise from nested data structures, meaning that students...
Latent Variable Models and Factor Analysis provides a comprehensive and unified approach to factor a...
This paper represents a methodological-substantive synergy. A new model, the Mixed Effects Structura...
During the past decade, the use of polynomial regression has become increasingly prevalent in congru...
Latent variable modelling has gradually become an integral part of mainstream statistics and is curr...
Use of subject scores as manifest variables to assess the relationship between latent variables prod...
In this dissertation, we focus on developing techniques for data including a latent outcome variable...
Although methods for latent variable modeling that allow a joint analysis of measurement and theory ...
Non-linear latent variable models are associated with problems which are difficult to handle in appl...
Latent variable models play an important role in psychological and educational measurement, which at...
The aim of an educational assessment is to measure a particular ability. The ability is usually oper...
One of the sources of continuing fascination and consternation in educational research is that many ...
Latent Variable Models: An Introduction to Factor, Path, and Structural Equation Analysis introduces...
The purpose of this project was to develop a structural model using several important variables rela...
Latent variable modelling has gradually become an integral part of mainstream statistics and is curr...
In education and social science, data often arise from nested data structures, meaning that students...
Latent Variable Models and Factor Analysis provides a comprehensive and unified approach to factor a...
This paper represents a methodological-substantive synergy. A new model, the Mixed Effects Structura...
During the past decade, the use of polynomial regression has become increasingly prevalent in congru...
Latent variable modelling has gradually become an integral part of mainstream statistics and is curr...
Use of subject scores as manifest variables to assess the relationship between latent variables prod...
In this dissertation, we focus on developing techniques for data including a latent outcome variable...
Although methods for latent variable modeling that allow a joint analysis of measurement and theory ...
Non-linear latent variable models are associated with problems which are difficult to handle in appl...
Latent variable models play an important role in psychological and educational measurement, which at...