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The comparison of estimation methods on the parameter estimates and fit indices in SEM model under 7-point Likert scale

Tarka, Piotr

Abstract: In this article, the author discusses the issues and problems associated with the influence of different estimation methods on the level of obtained parameters and goodness-of-fit of a Structural Equation Model (SEM) in the context of data measured on a 7-point Likert scale. Thus, the objective of the conducted analysis was to compare the selected methods of estimation such as maximum likelihood (ML), maximum likelihood mean adjusted (MLM), maximum likelihood mean-variance adjusted (MLMV), weighted least squares (WLS), weighted least squares mean adjusted (WLSM) and weighted least squares mean-variance adjusted (WLSMV) on the basis of respective parameter statistics, for which the quality of the SEM model fit was assessed. Eventually, among the presented methods, the best estimation procedure was selected. The area of empirical study and the subject of investigation refers to the opinion of consumers about the unethical behavior of companies in the area of marketing.

Zugehörige Institution(en) am KIT Institut für Informationswirtschaft und Marketing (IISM)
Publikationstyp Zeitschriftenaufsatz
Jahr 2017
Sprache Englisch
Identifikator DOI: 10.5445/KSP/1000058749/10
ISSN: 2363-9881
URN: urn:nbn:de:swb:90-677942
KITopen ID: 1000067794
Erschienen in Archives of Data Science Series A (Online First)
Band 2
Heft 1
Seiten 16 S. online
Lizenz CC BY-SA 4.0: Creative Commons Namensnennung – Weitergabe unter gleichen Bedingungen 4.0 International
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