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A Comparison of PLS and ML Bootstrapping Techniques in SEM: A Monte Carlo Study · Study

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ChapterA Comparison of PLS and ML Bootstrapping Techniques in SEM: A Monte Carlo Study

Pratyush Nidhi Sharma2013

Chapter2013

A Comparison of PLS and ML Bootstrapping Techniques in SEM: A Monte Carlo Study

Pratyush Nidhi Sharma · Kevin H. Kim

62 citations·0/0 files stored·Springer proceedings in mathematics & statistics

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Psychometric Methodologies and Testing Statistical Methods and Bayesian Inference Advanced Statistical Methods and Models

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References

2011PLS-SEM: Indeed a Silver Bullet 2006Formative Versus Reflective Indicators in Organizational Measure Development: A Comparison and Empirical Illustration 2009An empirical comparison of the efficacy of covariance-based and variance-based SEM 2000Applications of Structural Equation Modeling in Psychological Research 1992Bootstrapping Goodness-of-Fit Measures in Structural Equation Models 2001Performance of Bootstrapping Approaches to Model Test Statistics and Parameter Standard Error Estimation in Structural Equation Modeling 2012semPLS: Structural Equation Modeling Using Partial Least Squares 1983Simulating Multivariate Nonnormal Distributions

Cited by

2022Responsible leadership, organizational commitment, and work engagement: The mediator role of organizational identification 2018The impact of increased brand penetration on luxury desirability: a dual effect

Details

Year2013

Typechapter

Published2013-01-01

VenueSpringer proceedings in mathematics & statistics

ISSN-L2194-1009

Languageen

Citations62

Files0 public / 0

ShelfPsychometric Methodologies and Testing

Identifiers

doi10.1007/978-1-4614-8283-3_13

openalex_workW156620619

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