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

Springer Proceedings in Mathematics and Statistics

Volumn 56, Issue , 2013, Pages 201-208

  Sharma, Pratyush N ^a   Kim, Kevin H ^a  

^a UNIVERSITY OF PITTSBURGH   (United States)

Author keywords

Bootstrapping; Maximum likelihood; Partial least squares; Structural equation modeling

Indexed keywords

BOOTSTRAP RESAMPLING; BOOTSTRAPPING; ESTIMATION METHODS; HYPOTHESIS TESTING; PARTIAL LEAST SQUARE (PLS); SOCIAL SCIENCE RESEARCH; STRUCTURAL EQUATION MODELING; STRUCTURAL EQUATION MODELING TECHNIQUES;

ESTIMATION; LEAST SQUARES APPROXIMATIONS; MAXIMUM LIKELIHOOD; SAMPLING;

PRINCIPAL COMPONENT ANALYSIS;

EID: 84886025268     PISSN: 21941009     EISSN: 21941017     Source Type: Conference Proceeding    
DOI: 10.1007/978-1-4614-8283-3_13     Document Type: Article

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