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What is PLS-SEM

Handbook of Research on Transforming Teachers’ Online Pedagogical Reasoning for Engaging K-12 Students in Virtual Learning
Partial least squares-structural equation modelling enables researchers to analyze relationships simultaneously in complex models that comprise of multiple constructs, indicator variables and structural paths. The analysis does not make any distributional assumptions on the data.
Published in Chapter:
Using Digital Games in Virtual Classrooms to Make Attitudinal Learning Motivating and Engaging
Shamila Janakiraman (Purdue University, USA)
DOI: 10.4018/978-1-7998-7222-1.ch012
Abstract
The COVID-19 global pandemic has made it difficult for schools to conduct in-person learning, pushing educators to think innovatively to create digital classrooms and engage K-12 learners. This chapter will provide best practices and pedagogical reasoning into the use of digital game-based learning (DGBL) for attitudinal instruction in virtual classrooms of middle and high school students. When it comes to teaching socio-scientific topics, providing cognitive knowledge is not the only goal of education. Young learners need to develop appropriate attitudes and behaviors to ensure the holistic development of their personality. This is where DGBL has been found to be an effective instructional activity. Although the focus of this chapter is on using DGBL in environmental sustainability education, it provides implications that are applicable to other socio-scientific topics as well.
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More Results
The Relationship Between Culture and Human Development: An Analysis Through the Lens of Innovation and Corruption
Is a method of structural equations modelling that allows estimating cause-effect relationships with latent variables. It is more oriented towards maximizing the amount of variance explained of the predictive variable than statistical accuracy of the estimates.
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To Examine the Influence of Digital Marketing and Celebrity Endorsement on Consumer Purchase Intention of Mutual Funds
The partial least squares path modeling or partial least squares structural equation modeling (PLS-SEM) is a method for structural equation modeling that allows the estimation of complex cause-effect relationships in path models with latent variables.
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Experiential Marketing: Understanding the Nature of Experiences in Emerging Markets' Grocery Retailing
A method of structural equation modelling which allows estimating complex cause-effect relationship models with latent variables.
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