Specification, evaluation, and interpretation of structural equation modelsRichard P. Bagozzi, Youjae Yi2011-08-20articleJournal of the Academy of Marketing Science3,734 citationsclosedNo readable copy stored yet — this record is metadata only.Psychometric Methodologies and TestingStatistical Methods and ApplicationsStatistical Methods and Bayesian InferenceAbstractNo abstract was published for this record.Citations in this libraryStored only when both papers are in the corpus — 3,734 citations exist upstream.References1999Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology1988On the Evaluation of Structural Equation Models1989User Acceptance of Computer Technology: A Comparison of Two Theoretical Models1989Structural Equations with Latent Variables1991Structural Equations with Latent Variables.1998Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification.1989EQS : structural equations program manualCited by2014Consumer Brand Engagement in Social Media: Conceptualization, Scale Development and Validation2015Challenging games help students learn: An empirical study on engagement, flow and immersion in game-based learning2012Testing the dimensionality of place attachment and its relationships with place satisfaction and pro-environmental behaviours: A structural equation modelling approach2012Rethinking Partial Least Squares Path Modeling: In Praise of Simple Methods2013“Do We Believe in TripAdvisor?” Examining Credibility Perceptions and Online Travelers’ Attitude toward Using User-Generated Content2017Covariance-Based Structural Equation Modeling in the Journal of Advertising : Review and Recommendations2014On the Emancipation of PLS-SEM: A Commentary on Rigdon (2012)2014Theory of Change: a theory-driven approach to enhance the Medical Research Council's framework for complex interventions