Open AccessBook
Lisrel 8: Structural Equation Modeling With the Simplis Command Language
Karl G. Jöreskog,Dag Sörbom +1 more
Reads0
Chats0
TLDR
The SIMPLIS language shifts the focus away from the technical question "How to do it", so that researchers can concentrate on the question, "What does it all mean?"Abstract:
This text introduces the SIMPLIS command language for structural equation modelling. It is written for students and researchers with limited mathematical and statistical training who need to use structural equation models to analyze their data, and for those who have tried but failed to learn the LISREL command language. It is not a textbook on factor analysis, structural equations or latent variable models, although there are many examples of such in the book. Rather, it is assumed that the reader is already familiar with the basic ideas and principles of these types of analyses and techniques. The main objective is to demonstrate that structural equation modelling can be done easily without the technical jargon with which it has been associated. The SIMPLIS language shifts the focus away from the technical question "How to do it", so that researchers can concentrate on the question, "What does it all mean?" Although the SIMPLIS language makes it easier to specify models and to carry out the analysis, the substantive specification and interpretation remain the same as with the LISREL command language.read more
Citations
More filters
Journal ArticleDOI
Fit indices in covariance structure modeling : Sensitivity to underparameterized model misspecification
Li-tze Hu,Peter M. Bentler +1 more
TL;DR: In this article, the sensitivity of maximum likelihood (ML), generalized least squares (GLS), and asymptotic distribution-free (ADF)-based fit indices to model misspecification, under conditions that varied sample size and distribution.
Journal ArticleDOI
Power analysis and determination of sample size for covariance structure modeling.
TL;DR: In this article, a framework for hypothesis testing and power analysis in the assessment of fit of covariance structure models is presented, where the value of confidence intervals for fit indices is emphasized.
Journal ArticleDOI
The job demands-resources model of burnout
TL;DR: Results confirmed the 2-factor structure (exhaustion and disengagement) of a new burnout instrument--the Oldenburg Burnout Inventory--and suggested that this structure is essentially invariant across occupational groups.
Journal ArticleDOI
Understanding Information Technology Usage: A Test of Competing Models
Shirley Taylor,Peter A. Todd +1 more
TL;DR: The results indicate that the decomposed Theory of Planned Behavior provides a fuller understanding of behavioral intention by focusing on the factors that are likely to influence systems use through the application of both design and implementation strategies.
Journal ArticleDOI
Structural Equation Modelling: Guidelines for Determining Model Fit
TL;DR: In this article, a selection of fit indices that are widely regarded as the most informative indices available to researchers is presented, along with guidelines on their use and strategies for their use.
Related Papers (5)
Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives
Li-tze Hu,Peter M. Bentler +1 more