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1

Hair, Joseph F., G. Tomas M. Hult, Christian M. Ringle, Marko Sarstedt, Nicholas P. Danks, and Soumya Ray. Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80519-7.

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2

Ha, Minh-Tri, Tan-Loi Nguyen, and Truong Nguyen. Using PLS-SEM Approach to Explore Greenwash and Green Brand Equity. 1 Oliver’s Yard, 55 City Road, London EC1Y 1SP United Kingdom: SAGE Publications Ltd, 2023. http://dx.doi.org/10.4135/9781529628388.

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3

Radomir, Lăcrămioara, Raluca Ciornea, Huiwen Wang, Yide Liu, Christian M. Ringle, and Marko Sarstedt, eds. State of the Art in Partial Least Squares Structural Equation Modeling (PLS-SEM). Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-34589-0.

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4

Low, Mei, T. Ramayah, and Choon Seah. To Better Understand Consumers’ Acceptance of Medical Wearable Devices: A Combined Use of PLS-SEM and Necessary Condition Analysis. 1 Oliver’s Yard, 55 City Road, London EC1Y 1SP United Kingdom: SAGE Publications Ltd, 2023. http://dx.doi.org/10.4135/9781529627985.

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5

Blommerde, Tadhg. Using a Large-Scale Survey and PLS-SEM to Explore the Importance of Standardized Service Development Processes for Micro, Small, and Medium-Sized Organizations. 1 Oliver’s Yard, 55 City Road, London EC1Y 1SP United Kingdom: SAGE Publications Inc., 2023. http://dx.doi.org/10.4135/9781529670561.

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6

Rodrigo-Alarcón, Job, Pablo Ruiz-Palomino, and Jorge Linuesa-Langreo. Recommendations in Using PLS-SEM and fs/QCA as a Symmetric-Asymmetric Research Method to Provide Robust Findings: Exploring the Mechanisms Driving CEO-Leadership Styles to Firm Innovativeness. 1 Oliver’s Yard, 55 City Road, London EC1Y 1SP United Kingdom: SAGE Publications Ltd, 2023. http://dx.doi.org/10.4135/9781529669459.

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7

Sarwono, Jonathan. PLS SEM in Research Data Analysis Application. Independently published, 2018.

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8

Modelización estructural con PLS-SEM: Constructos de segundo orden. Associació València Etcètera, 2016.

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9

Hair Jr., Joseph F., Christian M. Ringle, Siegfried P. Gudergan, Julen Castillo Apraiz, Gabriel A. Cepeda Carrión, and José Luis Roldán. Manual avanzado de Partial Least Squares Structural Equation Modeling (PLS-SEM). OmniaScience, 2021. http://dx.doi.org/10.3926/oss.407.

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Este libro es una traducción autorizada por Sage del libro Advanced Issues in Partial Least Squares Structural Equation Modeling. Concebido como una ampliación del Manual de Partial Least Squares Structural Equation Modeling (PLS-SEM) (segunda edición)*, esta guía práctica de fácil manejo abarca contenido avanzado de PLS-SEM para ayudar a los estudiantes e investigadores a aplicar técnicas sobre problemas de investigación y a interpretar oportunamente los resultados. El libro aporta un resumen de conceptos básicos antes de centrarse en aspectos más avanzados. Además, ofrece amplios ejemplos del software SmartPLS 3 (www.smartpls.com) y viene acompañado de bases de datos de descarga gratuita. En el libro se subraya la necesidad de aplicar cuidadosamente cualquier enfoque de PLS-SEM para asegurarnos de que éste encaje con el contexto de investigación y las características de los datos. Características clave: · Uso limitado de fórmulas, ecuaciones, símbolos y notaciones similares que hace que se comprendan los conceptos fácilmente. · Disponibilidad de reglas prácticas en cada capítulo que aportan guías concretas de mejores prácticas para aplicar e interpretar PLS-SEM y preparar artículos para su publicación en revistas científicas. · Empleo de un mismo ejemplo y base de datos a lo largo de todo el libro para facilitar la consistencia en los aspectos relacionados con el caso propuesto. · Conjunto de recursos que se pueden descargar de manera gratuita: bases de datos y proyectos de SmartPLS para practicar las técnicas planteadas. · Manual traducido y actualizado con pies de página con los desarrollos más recientes de PLS-SEM. -------- *Manual de Partial Least Squares Structural Equation Modeling (PLS-SEM) (segunda edición) Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Castillo Apraiz, J., Cepeda Carrión, G., & Roldán, J. L. (2019). Manual de Partial Least Squares Structural Equation Modeling (PLS-SEM). OmniaScience Scholar, Terrassa, Barcelona.
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10

Hult, G. Tomas M., Joseph F. Jr Hair, Marko Sarstedt, and Christian M. Ringle. Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). SAGE Publications, Incorporated, 2013.

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11

Hult, G. Tomas M., Joseph F. Jr Hair, Marko Sarstedt, and Christian M. Ringle. Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). SAGE Publications, Incorporated, 2016.

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12

Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). SAGE Publications, Incorporated, 2013.

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13

Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). SAGE Publications, Incorporated, 2021.

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14

Hair Jr., Joseph F., G. Tomas M. Hult, Christian M. Ringle, Marko Sarstedt, Julen Castillo Apraiz, Gabriel A. Cepeda Carrión, and José Luis Roldán. Manual de Partial Least Squares Structural Equation Modeling (PLS-SEM) (Segunda Edición). OmniaScience, 2019. http://dx.doi.org/10.3926/oss.37.

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15

Partial Least Squares Structural Equation Modeling (PLS-SEM) Applications in Economics and Finance. MDPI, 2021. http://dx.doi.org/10.3390/books978-3-0365-2621-8.

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16

A primer on partial least squares structural equation modeling (PLS-SEM) - 2. edición. SAGE Publications, 2017.

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17

Valls Martínez, María del Carmen, José-María Montero, and Pedro Antonio Martín Cervantes, eds. Recent Advances and Applications in Partial Least Squares Structural Equation Modeling (PLS-SEM). MDPI, 2023. http://dx.doi.org/10.3390/books978-3-0365-9593-1.

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18

Hwui, Chan Sane, and Lay Yoon Fah. Affective Domains Contributing to Behavioural Intention in Teaching Science. UMS Press, 2020. http://dx.doi.org/10.51200/affectivedomainsumspress2020-978-967-2962--27-4.

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The teaching profession is a highly stressful occupation and susceptible to burnout due to high levels of workload compared to other contact occupations. In Malaysia, the majority of science teachers are experiencing physical and mental drain after long periods of teaching service and mundane routine year in and year out. Despite the general assumptions of a teacher’s job is merely teaching from a textbook, a teacher’s workload includes teaching-related (class preparation and classroom management) and non-teaching related (administration and meetings). All these challenges required teachers to possess high self-efficacy beliefs, great teaching motivation, and positive attitudes toward teaching science. When the development of the affective domain is neglected during pre-service years, teachers’ behavioural intention in teaching science will subside gradually. This may cause emotional exhaustion, feelings of ineffectiveness, and job burnout when the pre-service teachers start to work in a high-pressure environment. The prime focus of this book includes the use of Partial Least Square-Structural Equation Modelling (PLS-SEM) approach in studying the mediating effect of attitudes toward teaching science in the relationship between teacher self-efficacy beliefs and teaching motivation on behavioural intention in teaching science. This book provides insights for policymakers to formulate courses on managing personal affective domains in the teacher education curriculum. It is also hoped that this book will be of interest to academicians and researchers on the topic related to teacher education and teaching professional development.
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