Effects of Potential Confounding Factors on Fit Indices and Parameter Estimates for True and Misspecified SEM Models

Keywords

Statistics, Monte Carlo method, Confounding, Structural equation modeling, Sample size determination

References

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• Attenuation of Correlation by Measurement Unreliability and Two Approaches for Correcting the Attenuation.Xitao Fan — 2002
• A Primer of Model Fit Indices in Structural Equation Modeling.Tracy D. Smith, Bradley F. McMillan — 2001
• Modelling financial services adoption through an intermediary in South Africa : TAM and SEM approachJohn P Wentzel — 2013
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• Testing the Relationships Among Transformational Factors in a Postsecondary EnvironmentGayle B. Wooten — 2014
• Social Structure and Social Learning in Delinquency: A Test of Akers' Social Structure-Social Learning ModelStephen W Verrill — 2005
• A Structural Equation Modeling Approach to Investigate Negative Word of Mouth Impact on Customer-Based Brand Equity: Does Attribution Matter?Ahmed Yehia Ebeid, Hesham F. Gadelrab — 2014
• The Effect of Website Performance and Online Retailer Status on Consumer Purchase Intention: A Mediator Role of Buyer PerceptionNan Jiang, Mohd Muttaqin Bin Mohd Adnan, Manmeet Kaur — 2015
• Testing and verifying nursing theory by confirmatory factor analysis.Maria Kääriäinen, Outi Kanste, Satu Elo — 2011
• Customer business development: identifying and responding to buyer-implied information preferencesGary K. Hunter — 2014
• Construct Validation and Psychometric Evaluation of the Self-Efficacy Scale for Driver CompetenceAnna Sundström — 2008
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• A Path Model for Students' Attitude to Writing a ThesisJohn Sachs — 2002
• Development, reliability, and validity of the Measure of Sexual Identity Exploration and Commitment (MOSIEC).Roger L. Worthington, Rachel L. Navarro, Holly Bielstein Savoy — 2008

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