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Estimating the Maximum Likelihood Root Mean Square Error of Approximation (RMSEA) with Non-normal Data: A Monte-Carlo Study
16 references·2 citing·20 second hop
Estimating the Maximum Likelihood Root Mean Square Error of Approximation (RMSEA) with Non-normal Data: A Monte-Carlo Study (2019)Estimating the Maximum Likelihood Root Me…Sample Size Requirements for Structural Equation Models (2013)Sample Size Requirements for …When can categorical variables be treated as continuous? A comparison of robust continuous and categorical SEM estimation methods under suboptimal conditions. (2012)When can categorical variable…lavaan : An R Package for Structural Equation Modeling (2012)lavaan : An R Package for Str…Reporting practices in confirmatory factor analysis: An overview and some recommendations. (2009)Reporting practices in confir…Principles and practice in reporting structural equation analyses. (2002)Principles and practice in re…Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives (1999)Cutoff criteria for fit index…The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis. (1996)The robustness of test statis…Structural Equation Modeling: Concepts, Issues, and Applications. (1996)Structural Equation Modeling:…Structural equation models with nonnormal variables: Problems and remedies. (1995)Structural equation models wi…Testing Structural Equation Models. (1994)Testing Structural Equation M…Corrections to test statistics and standard errors in covariance structure analysis. (1994)Corrections to test statistic…Alternative Ways of Assessing Model Fit (1992)Alternative Ways of Assessing…Structural Equations with Latent Variables. (1991)Structural Equations with Lat…Structural Model Evaluation and Modification: An Interval Estimation Approach (1990)Structural Model Evaluation a…Structural Equations with Latent Variables (1989)Structural Equations with Lat…Significance tests and goodness of fit in the analysis of covariance structures. (1980)Significance tests and goodne…Augmenting hotel performance in Malaysia through big data analytics capability and artificial intelligence capability (2023)Augmenting hotel performance …Caught in the Act: Predicting Cheating in Unproctored Knowledge Assessment (2020)Caught in the Act: Predicting…Asymptotic Confidence Intervals for Indirect Effects in Structural Equation Models (1982)Testing Structural Equation Models. (1995)qgraph : Network Visualizations of Relationships in Psychometric Data (2012)Common Beliefs and Reality About PLS (2014)Estimating Psychological Networks and their Accuracy: A Tutorial Paper (2016)EQS : structural equations program manual (1989)Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. (1998)Comparative fit indexes in structural models. (1990)Evaluating the Fit of Structural Equation Models: Tests of Significance and Descriptive Goodness-of-Fit Measures (2003)Sensitivity of Goodness of Fit Indexes to Lack of Measurement Invariance (2007)A Reliability Coefficient for Maximum Likelihood Factor Analysis (1973)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Structural equation modeling in practice: A review and recommended two-step approach. (1988)Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance (2002)How to Write Up and Report PLS Analyses (2009)An assessment of the use of partial least squares structural equation modeling in marketing research (2011)Common method biases in behavioral research: A critical review of the literature and recommended remedies. (2003)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)PLS-SEM: Indeed a Silver Bullet (2011)Job demands, job resources, and their relationship with burnout and engagement: a multi‐sample study (2004)
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References

  • 1999Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives108,592 cited
  • 2012lavaan : An R Package for Structural Equation Modeling27,889 cited
  • 1992Alternative Ways of Assessing Model Fit27,192 cited
  • 1980Significance tests and goodness of fit in the analysis of covariance structures.19,061 cited
  • 1989Structural Equations with Latent Variables17,500 cited
  • 1991Structural Equations with Latent Variables.17,443 cited
  • 1994Testing Structural Equation Models.14,120 cited
  • 1990Structural Model Evaluation and Modification: An Interval Estimation Approach7,390 cited
  • 1996Structural Equation Modeling: Concepts, Issues, and Applications.6,812 cited
  • 1996The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis.5,501 cited
  • 2002Principles and practice in reporting structural equation analyses.4,724 cited
  • 2013Sample Size Requirements for Structural Equation Models3,914 cited
  • 2012When can categorical variables be treated as continuous? A comparison of robust continuous and categorical SEM estimation methods under suboptimal conditions.2,798 cited
  • 1994Corrections to test statistics and standard errors in covariance structure analysis.2,399 cited

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  • 2009Reporting practices in confirmatory factor analysis: An overview and some recommendations.2,242 cited
  • 1995Structural equation models with nonnormal variables: Problems and remedies.1,813 cited
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