IDENTIFICATION AND IMPROVEMENT OF UNOBSERVED HETEROGENEITY IN PARTIAL LEAST SQUARES STRUCTURAL EQUATION MODELING (PLS-SEM): THE FIMIX-PLS METHOD

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Yahyazadeh far Mahmoud; Abrahimi Zangalani Peyman

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Seminar Paper

Paper Information

Seminar: INTERNATIONAL CONFERENCE ON MODERN DEVELOPMENTS IN MANAGEMENT, ECONOMICS AND ACCOUNTING
Year:2019 | Issue:3

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Title

IDENTIFICATION AND IMPROVEMENT OF UNOBSERVED HETEROGENEITY IN PARTIAL LEAST SQUARES STRUCTURAL EQUATION MODELING (PLS-SEM): THE FIMIX-PLS METHOD

Author(s)

Yahyazadeh far Mahmoud | Abrahimi Zangalani Peyman

Keywords

HETEROGENEITY

FINITE MIXTURE APPROACH

STRUCTURAL EQUATION MODELING

FIMIX-PLS

PLS-SEM

Abstract

THE PURPOSE OF THIS PAPER IS TO PROVIDE AN OVERVIEW OF UNOBSERVED HETEROGENEITY IN THE FIELD OF PARTIAL LEAST SQUARES STRUCTURAL EQUATION MODELING (PLS-SEM), ITS DETECTION AND CHALLENGES FOR SOCIAL SCIENCE RESEARCHERS. IN THIS STUDY, WE DESCRIBE HOW TO DETECT AND IMPROVE WITH UNOBSERVED HETEROGENEITY IN PLS-SEM USING THE PLS FINITE MIXED MEASUREMENT UNIT (FIMIX-PLS). THIS PAPER INTEGRATES THE LITERATURE OF VARIOUS DISCIPLINES SUCH AS MANAGEMENT INFORMATION SYSTEMS, MARKETING AND STATISTICS TO PROVIDE AN ADVANCED OVERVIEW OF FIMIX-PLS. BASED ON THIS REVIEW, THE PAPER PROVIDES GUIDELINES ON HOW TO APPLY THIS TECHNIQUE TO SPECIFIC RESEARCH PROBLEMS. FIMIX-PLS IS A TOOL FOR DETECTING AND IMPROVING UNOBSERVED HETEROGENEITY IN PLS-SEM AND DETERMINING THE NUMBER OF FRACTIONS USEFUL TO OBTAIN THE DATA. SINCE THE INTRODUCTION OF FIMIX-PLS, MANY TECHNIQUES HAVE BEEN DEVELOPED TO REPLACE THE HIDDEN CLASS, WHICH EXPLAIN SOME OF THE LIMITATIONS OF THIS APPROACH. FOR EXAMPLE, THESE TECHNIQUES FAIL TO ADDRESS THE HETEROGENEITY OF MEASUREMENT MODELS AND THEIR DISTRIBUTIONAL ASSUMPTIONS. THIS ARTICLE IS FIRST INTRODUCED TO RESEARCHERS WHO ARE NOT YET FAMILIAR WITH THE FIMIX-PLS METHOD. FINALLY, THE MOST ADVANCED HETEROGENEITY COPING TECHNIQUES ARE REVIEWED IN THIS PAPER TO HELP RESEARCHERS UNDERSTAND HOW TO ANALYZE, INTERPRET, AND CALCULATE ALL CRITERIA.

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APA: Copy

Yahyazadeh far, Mahmoud, & Abrahimi Zangalani, Peyman. (2019). IDENTIFICATION AND IMPROVEMENT OF UNOBSERVED HETEROGENEITY IN PARTIAL LEAST SQUARES STRUCTURAL EQUATION MODELING (PLS-SEM): THE FIMIX-PLS METHOD. INTERNATIONAL CONFERENCE ON MODERN DEVELOPMENTS IN MANAGEMENT, ECONOMICS AND ACCOUNTING. SID. https://sid.ir/paper/949151/en

Vancouver: Copy

Yahyazadeh far Mahmoud, Abrahimi Zangalani Peyman. IDENTIFICATION AND IMPROVEMENT OF UNOBSERVED HETEROGENEITY IN PARTIAL LEAST SQUARES STRUCTURAL EQUATION MODELING (PLS-SEM): THE FIMIX-PLS METHOD. 2019. Available from: https://sid.ir/paper/949151/en

IEEE: Copy

Mahmoud Yahyazadeh far, and Peyman Abrahimi Zangalani, “IDENTIFICATION AND IMPROVEMENT OF UNOBSERVED HETEROGENEITY IN PARTIAL LEAST SQUARES STRUCTURAL EQUATION MODELING (PLS-SEM): THE FIMIX-PLS METHOD,” presented at the INTERNATIONAL CONFERENCE ON MODERN DEVELOPMENTS IN MANAGEMENT, ECONOMICS AND ACCOUNTING. 2019, [Online]. Available: https://sid.ir/paper/949151/en

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