scholarly journals PLS-SEM STATISTICAL PROGRAMS: A REVIEW

2021 ◽  
Vol 5 (1) ◽  
pp. i-xiv
Author(s):  
Mumtaz Ali Memon ◽  
T. Ramayah ◽  
Jun-Hwa Cheah ◽  
Hiram Ting ◽  
Francis Chuah ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Data Analysis ◽  
Least Squares ◽  
Partial Least Squares ◽  
Multivariate Data Analysis ◽  
Structural Equation ◽  
Multivariate Data ◽  
Informed Decision ◽  
Equation Modeling

Partial least squares structural equation modeling (PLS-SEM) is one of the most widely used methods of multivariate data analysis. Although previous research has discussed different aspects of PLS-SEM, little is done to explain the attributes of the different PLS-SEM statistical applications. The objective of this editorial is to discuss a variety of PLS-SEM applications, including SmartPLS, WarpPLS, and ADANCO. It is written based on information received from the developers via emails as well as our ongoing understanding and experience of using these applications. We hope this editorial can serve as a manual for users to understand the unique characteristics of each PLS-SEM application and make an informed decision on the most appropriate application in their research.

scholarly journals Pengaruh Islamic Branding dan Religiusitas Terhadap Minat Masyarakat Muslim dalam Berwakaf Uang

2021 ◽  
Vol 3 (2) ◽  
pp. 95-112
Author(s):  
Rianda Hanis ◽  
Pertiwi Alifiani
Keyword(s):  
Structural Equation Modeling ◽  
Data Analysis ◽  
Least Squares ◽  
Partial Least Squares ◽  
Structural Equation ◽  
Quantitative Approach ◽  
Equation Modeling ◽  
Analysis Method ◽  
Data Analysis Method ◽  
Muslim Communities

This study aims to look at the influence of islamic branding variables, religiosity variables and attitude variables on the interest of Muslim communities in representing money. This study uses a quantitative approach and Partial Least Squares-Structural Equation Modeling as a data analysis method used to analyze the factors that affect the interest of Muslim communities in the representation of money. Respondents are Muslim communities who have had 141 respondents. The results showed that the Islamic branding variable had a positive and significant effect on attitudes, then the religiosity variable had a positive and significant effect on attitudes.

The dimensions of alliance portfolio configuration: A mediation model

2015 ◽  
Vol 21 (2) ◽  
pp. 176-202 ◽  
Author(s):  
Ignacio Castro ◽  
José L Roldán ◽  
Francisco J Acedo
Keyword(s):  
Structural Equation Modeling ◽  
Data Analysis ◽  
Least Squares ◽  
Partial Least Squares ◽  
Market Share ◽  
Structural Equation ◽  
International Market ◽  
Equation Modeling ◽  
Mediation Model ◽  
Alliance Portfolio

AbstractOur paper contributes to progress on the conceptualization and the operationalization of the alliance portfolio configuration. A variance-based structural equation modeling (partial least squares) has been applied to a sample made up of top global contractors. Previous works on alliance portfolio have analyzed the dimensions of alliance portfolio configuration independently and therefore, the interrelationships between them have not been studied. Results from the data analysis show that the dimensions of alliance portfolio configuration are interrelated in such a way that the relational and the partner alliance portfolio dimensions (a) fully mediate the effect of structural alliance portfolio on the value of the alliance portfolio capital; and (b) this capital exerts significant and positive influences on the growth of the international market share.

Partial least squares structural equation modeling of chemistry attitude in introductory college chemistry

2018 ◽  
Vol 19 (4) ◽  
pp. 1270-1286 ◽  
Author(s):  
James Ross ◽  
Leslie Nuñez ◽  
Chinh Chu Lai
Keyword(s):  
Structural Equation Modeling ◽  
Least Squares ◽  
Partial Least Squares ◽  
Structural Equation ◽  
At Risk Students ◽  
Affective Domain ◽  
Equation Modeling ◽  
College Chemistry ◽  
The Subject ◽  
Introductory College

Students’ decisions to enter or persist in STEM courses is linked with their affective domain. The influence of factors impacting students’ affective domain in introductory college chemistry classes, such as attitude, is often overlooked by instructors, who instead focus on students’ mathematical abilities as sole predictors of academic achievement. The current academic barrier to enrollment in introductory college chemistry classes is typically a passing grade in a mathematics prerequisite class. However, mathematical ability is only a piece of the puzzle in predicting preparedness for college chemistry. Herein, students’ attitude toward the subject of chemistry was measured using the original Attitudes toward the Subject of Chemistry Inventory (ASCI). Partial least squares structural equation modeling (PLS-SEM) was used to chart and monitor the development of students’ attitude toward the subject of chemistry during an introductory college chemistry course. Results from PLS-SEM support a 3-factor (intellectual accessibility,emotional satisfaction, andinterestandutility) structure, which could signal the distinct cognitive, affective, and behavioral components of attitude, according to its theoretical tripartite framework. Evidence of a low-involvement hierarchy of attitude effect is also presented herein. This study provides a pathway for instructors to identify at-risk students, exhibiting low affective characteristics, early in a course so that academic interventions are feasible. The results presented here have implications for the design and implementation of teaching strategies geared toward optimizing student achievement in introductory college chemistry.

An Introduction to Structural Equation Modeling (SEM) and the Partial Least Squares (PLS) Methodology

2011 ◽  
pp. 110-129 ◽  
Author(s):  
Nicholas J. Ashill
Keyword(s):  
Structural Equation Modeling ◽  
Information Systems ◽  
Organizational Behavior ◽  
Least Squares ◽  
Partial Least Squares ◽  
Structural Equation ◽  
Academic Research ◽  
Equation Modeling ◽  
Formative Measurement ◽  
Statistical Assumptions

Over the past 15 years, the use of Partial Least Squares (PLS) in academic research has enjoyed increasing popularity in many social sciences including Information Systems, marketing, and organizational behavior. PLS can be considered an alternative to covariance-based SEM and has greater flexibility in handling various modeling problems in situations where it is difficult to meet the hard assumptions of more traditional multivariate statistics. This chapter focuses on PLS for beginners. Several topics are covered and include foundational concepts in SEM, the statistical assumptions of PLS, a LISREL-PLS comparison and reflective and formative measurement.

Manual de Partial Least Squares Structural Equation Modeling (PLS-SEM) (Segunda Edición)

2019 ◽  
Author(s):  
Joseph F. Hair Jr. ◽  
G. Tomas M. Hult ◽  
Christian M. Ringle ◽  
Marko Sarstedt ◽  
Julen Castillo Apraiz ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Least Squares ◽  
Partial Least Squares ◽  
Structural Equation ◽  
Equation Modeling
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