Corpus ID: 123717350

Evaluating Cutoff Criteria of Model Fit Indices for Latent Variable Models with Binary and Continuous Outcomes

@inproceedings{Angeles2002EvaluatingCC,
  title={Evaluating Cutoff Criteria of Model Fit Indices for Latent Variable Models with Binary and Continuous Outcomes},
  author={Los P Angeles},
  year={2002}
}
Construction and Validation of an Instrument to Measure Perceptions and Attitudes towards Genetically Modified Organisms in the Mexican Urban Population
Introduction: this paper presents the development and validation of an instrument to measure the perceptions and attitudes about the production and consumption of the Mexican urban consumers towardsExpand
Examination of the Weighted Root Mean Square Residual: Evidence for Trustworthiness?
This study examined the performance of the weighted root mean square residual (WRMR) through a simulation study using confirmatory factor analysis with ordinal data. Values and cut scores for theExpand
Development and Validation of the Adolescent Psychological Need Support in Exercise Questionnaire.
TLDR
The APNSEQ was supported as a measure of adolescents' perceptions of psychological need support within the context of exercise and showed good fit to the data. Expand
Examining the Spanish MAYSI-2 translation among Mexican Americans
The Music Self-Perception Inventory: Development of a short form
Music self-concept integrates perceptions, beliefs, and self-schemas about a person’s musical abilities and potential. Like other self-concept dimensions, it is multifaceted, hierarchically organizedExpand
Beyond the traditional school value-added approach: Analysing complex multilevel models to inform external and internal school accountability in Chile
In the last few decades, educational research has largely demonstrated the effects of the socio-economic background on academic performance. Traditionally, researchers have used the so-calledExpand
The Development of the Sexual Assertiveness Questionnaire (SAQ): A Comprehensive Measure of Sexual Assertiveness for Women
TLDR
A comprehensive measure of sexual assertiveness is developed that encompasses the aspects of sexualassertiveness that have been emphasized by previous researchers, with the exception of condom insistence and model fit indices indicate that this three-factor solution fits the data well. Expand
Testing Different Versions of the Affective Neuroscience Personality Scales in a Clinical Sample
TLDR
This study replicates earlier psychometric studies on ANPS in a sample of personality disordered patients, and also includes ANPS-S, a recent short version of ANPS by Pingault and colleagues, and a truncated version of BANPS by Barrett and colleagues. Expand
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 43 REFERENCES
Improving the Root Mean Square Error of Approximation for Nonnormal Conditions in Structural Equation Modeling
Abstract In this study, the authors investigated incorporating adjusted model fit information into the root mean square error of approximation (RMSEA) fit index. Through Monte Carlo simulation, theExpand
Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives
This article examines the adequacy of the “rules of thumb” conventional cutoff criteria and several new alternatives for various fit indexes used to evaluate model fit in practice. Using a 2‐indexExpand
EFFECTS OF SAMPLE SIZE, ESTIMATION METHODS, AND MODEL SPECIFICATION ON STRUCTURAL EQUATION MODELING FIT INDEXES
A Monte Carlo simulation study was conducted to investigate the effects on structural equation modeling (SEM) fit indexes of sample size, estimation method, and model specification. Based on aExpand
Structural Equation Modeling with Small Samples: Test Statistics.
TLDR
This article studies the small sample behavior of several test statistics that are based on maximum likelihood estimator, but are designed to perform better with nonnormal data. Expand
Fit indices in covariance structure modeling : Sensitivity to underparameterized model misspecification
This study evaluated the sensitivity of maximum likelihood (ML)-, generalized least squares (GLS)-, and asymptotic distribution-free (ADF)-based fit indices to model misspecification, underExpand
LONGITUDINAL STUDIES OF ACHIEVEMENT GROWTH USING LATENT VARIABLE MODELING
This article gives a pedagogical description of growth modeling of longitudinal data using latent variable methods. The growth modeling is described using an example of mathematics achievementExpand
Normal theory based test statistics in structural equation modelling.
  • K. Yuan, P. Bentler
  • Mathematics, Medicine
  • The British journal of mathematical and statistical psychology
  • 1998
TLDR
This paper proposes three new asymptotically distribution-free (ADF) test statistics that technically must yield improved behaviour in samples of realistic size, and uses Monte Carlo methods to study their actual finite sample behaviour. Expand
General Longitudinal Modeling of Individual Differences in Experimental Designs: A Latent Variable Framework for Analysis and Power Estimation
The generality of latent variable modeling of individual differences in development over time is demonstrated with a particular emphasis on randomized intervention studies. First, a brief overview isExpand
An Evaluation of the Satorra-Bentler Distributional Misspecification Correction Applied to the McDonald Fit Index.
McDonald goodness‐of‐fit indices based on maximum likelihood, asymptotic distribution free, and the Satorra‐Bentler scale correction estimation methods are investigated. Sampling experiments areExpand
...
1
2
3
4
5
...