scholarly journals Using Partial Least Squares Structural Equation Modeling to Measure the Moderating Effect of Gender: An Empirical Study

Mathematics ◽  
2021 ◽  
Vol 9 (24) ◽  
pp. 3150
Author(s):  
Vera Gelashvili ◽  
Juan-Gabriel Martínez-Navalón ◽  
José Ramón Saura
Keyword(s):  
Structural Equation Modeling ◽  
Least Squares ◽  
Partial Least Squares ◽  
Environmental Sustainability ◽  
Structural Equation ◽  
Three Dimensions ◽  
Equation Modeling ◽  
The Relationship ◽  
Gender Influences ◽  
Practical Implications

Over recent decades, much has been written about sustainable development and its main dimensions (environmental, social, and economic). However, to date, there is a lack of academic literature on the relationship between these dimensions of sustainability, as well as whether sustainability is moderated by an individual’s gender. To fill this gap in the literature, the aim of this study is two-fold: first, we want to empirically analyze whether there is a relationship between these dimensions and, if so, whether this relationship is positive; secondly, we aim to evaluate whether gender influences the link between these dimensions of sustainability. To this end, a sample of 411 responses was analyzed using the Using Partial Least Squares Structural Equation Modeling (PLS-SEM) methodology. The results revealed that there is a positive relationship between the three dimensions of sustainability; however, the effect of gender was observed only in the case of the relationship between social and environmental sustainability. The paper concludes with a discussion of the results and an outline of their theoretical and practical implications for industry.

Videogames-as-a-service: converting freemium- to paying-users through pop-up advertisement value

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ali Hussain ◽  
Amir Abbasi ◽  
Linda D. Hollebeek ◽  
Carsten D. Schultz ◽  
Ding Hooi Ting ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Least Squares ◽  
Partial Least Squares ◽  
Survey Data ◽  
Structural Equation ◽  
Design Methodology ◽  
Equation Modeling ◽  
Content Type ◽  
Value Model ◽  
Practical Implications

Purpose Though the videogame literature is thriving, little remains known regarding the effectiveness of pop-up ads that appear in videogames. Addressing this gap, this study, therefore, aims to explore pop-up ads as an important tool to prompt gamer-perceived advertisement value and their subsequent intent to install the advertised videogame. Design/methodology/approach To frame the analyses, the authors adopt and extend Ducoffe’s advertising value model by incorporating the visual/audio aesthetic videogame components that are largely overlooked in prior research. Using a self-administered survey, data were collected from 321 online gamers. The authors tested the model by using partial-least-squares-based structural equation modeling (PLS-SEM). Findings The results indicate that pop-up ad-related incentives, entertainment, credibility, personalization, audio aesthetics and irritation significantly affect user-perceived ad value. In turn, perceived ad value was found to affect players’ intent to install the advertised videogame. Research limitations/implications Though the findings corroborate the importance of pop-up ads being perceived as informative and/or entertaining, they also emphasize the value of personalized ads, ad-related incentives and audio aesthetic, which impact gamers’ intent to install the advertised videogame. Practical implications This study advances managerial understanding of videogame-based services, which is expected to be particularly useful for freemium-based videogame marketers and developers. Originality/value By extending Ducoffe’s model of advertising value, the authors apply the proposed framework in the online videogaming-based pop-up ad context, and explore the effect of user-perceived pop-up ad value on their intent to install the advertised videogame.

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.

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