A concept analysis of methodological research on composite-based structural equation modeling: bridging PLSPM and GSCA

References

Page 1

	Year	Citations
A new criterion for assessing discriminant validity in variance-based structural equation modeling Jörg Henseler, Christian M. Ringle, Marko Sarstedt Journal of the Academy of Marketing Science	2014	30.5K
When to use and how to report the results of PLS-SEM Joseph F. Hair, Jeffrey J. Risher, Marko Sarstedt, European Business Review EngineeringQuality MetricGeneralizability TheoryEducationRegression Analysis	2018	21.5K
A primer on partial least squares structural equation modeling (PLS-SEM) Adrián Leguina International Journal of Research & Method in Education Behavioral SciencesMultivariate Data AnalysisSocial PsychologySocial ImpactSociology	2015	18.9K
Bootstrap Methods: Another Look at the Jackknife B. Efron The Annals of Statistics EngineeringMachine LearningSampling OptimizationStatistical FoundationStatistical Analysis	1979	17.1K
Convergent and discriminant validation by the multitrait-multimethod matrix. Donald T. Campbell, Donald W. Fiske Psychological Bulletin	1959	16.9K
LIII. <i>On lines and planes of closest fit to systems of points in space</i> Karl Pearson The London Edinburgh and Dublin Philosophical Magazine and Journal of Science Integral GeometryGeometric ModelingDiscrete GeometryEngineeringGeometric Algorithm	1901	11.4K
Analysis of a complex of statistical variables into principal components. H. Hotelling Journal of Educational Psychology Multidimensional AnalysisBiostatisticsStatistical InferencePrincipal Component AnalysisMultivariate Analysis	1933	9.3K
An assessment of the use of partial least squares structural equation modeling in marketing research Joe F. Hair, Marko Sarstedt, Christian M. Ringle, Journal of the Academy of Marketing Science Marketing AnalyticsCustomer SatisfactionInteractive MarketingManagementConsumer Research	2011	7.7K
GUIDE TO THE EXPRESSION OF UNCERTAINTY IN MEASUREMENT Saudi Standard ReliabilityEngineeringUncertainty ModelingUncertainty QuantificationUncertainty Evaluation	2006	6.5K
A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study Wynne W. Chin, Barbara L. Marcolin, Peter R. Newsted Information Systems Research EngineeringMeasuring Interaction EffectsAffective DesignEffect SizeAffective Variable	2003	6.4K

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