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1

Hanna, Jim. Assessing consumer preference for local independent retailers: An application of structural equation modelling (SEM). The Author), 2000.

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2

Angell, Rob. Learn to Do Structural Equation Modelling (SEM) in SPSS AMOS With Data From the International Sponsorship Study (2016). SAGE Publications, Ltd., 2019. http://dx.doi.org/10.4135/9781526469632.

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3

Thakkar, Jitesh J. Structural Equation Modelling. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3793-6.

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4

Jak, Suzanne. Meta-Analytic Structural Equation Modelling. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27174-3.

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5

Bynner, John. Modelling childhood antecedents of political cynicism using structural equation modelling. Social Statistics Research Unit, City University, 1996.

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6

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. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80519-7.

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7

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). Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-34589-0.

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8

Bhattacharya, Joysankar. Women empowerment as multidimensional capability enhancement: An application of structural-equation-modelling. Institute of Development Studies, 2012.

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9

P, Odekerken M. E., Schmeets J. J. G, and Pol, F. J. R. van de., eds. Developments and applications in structural equation modelli ng: Proceedings of the twelfth meeting of the "Working group structural equation modelling" ("A G Strukturgleichungsmodelle"). Sociometric Research Foundation, 1991.

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10

Jöreskog, K. G. LISREL 8: Structural equation modeling with the SIMPLIS command language. Scientific Software International, 1993.

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11

Jöreskog, K. G. LISREL 8: Structural equation modeling with the SIMPLIS command language. Scientific Software International, 1993.

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12

O'Loughlin, Christina. Evaluation of measurement quality in the assessment of health related issues using structural equation modelling techniques. The Author], 2000.

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13

Alves Ribeiro Correia, Pedro. Using Structural Equation Modelling and Clustering to Research Users’ and Employees’ views of the Portuguese Ministry of Justice. SAGE Publications Inc., 2023. http://dx.doi.org/10.4135/9781529628326.

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14

Hoyle, Rick H. Applications of structural equation modelling in clinical and health psychology research. Oxford University Press, 2015. http://dx.doi.org/10.1093/med:psych/9780198527565.003.0020.

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This chapter discusses applications of structural equation modelling (SEM, or causal modelling) in clinical and health psychology research. It outlines path diagrams, measurement models, structural models, the inclusion of latent variables, validity (factorial and construct), and measurement invariance. Structural hypotheses are also explored, along with caveats for the use of SEM.
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15

Jak, Suzanne. Meta-Analytic Structural Equation Modelling. Springer London, Limited, 2015.

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16

Meta-Analytic Structural Equation Modelling. Springer, 2015.

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17

Structural Equation Modelling: Application for Research and Practice. Springer, 2020.

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18

Thakkar, Jitesh J. Structural Equation Modelling: Application for Research and Practice. Springer, 2020.

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19

Thakkar, Jitesh J. Structural Equation Modelling: Application for Research and Practice. Springer Singapore Pte. Limited, 2021.

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20

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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21

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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22

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

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23

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

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24

Blunch, Niels. Introduction to Structural Equation Modelling Using SPSS and Amos. SAGE Publications, Incorporated, 2008.

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25

Introduction To Structural Equation Modelling Using Spss And Amos. Sage,, 2008.

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26

Introduction to Structural Equation Modelling Using SPSS and AMOS. Sage Publications Ltd, 2008.

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27

Introduction to Structural Equation Modelling Using SPSS and AMOS. Sage Publications Ltd, 2008.

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28

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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29

Hemsworth, David. Modelling using ordinal data: The use of dual scaling in structural equation modelling. 2004.

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30

Hair Jr., Joseph F., G. Tomas M. Hult, Christian M. Ringle, et al. 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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31

Mehmetoglu, Mehmet, and Sergio Venturini. Structural Equation Modelling with Partial Least Squares Using Stata and R. Taylor & Francis Group, 2021.

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32

Mehmetoglu, Mehmet, and Sergio Venturini. Structural Equation Modelling with Partial Least Squares Using Stata and R. Taylor & Francis Group, 2021.

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33

Mehmetoglu, Mehmet, and Sergio Venturini. Structural Equation Modelling with Partial Least Squares Using Stata and R. Taylor & Francis Group, 2021.

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34

Structural Equation Modelling with Partial Least Squares Using Stata and R. Taylor & Francis Group, 2022.

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35

Structural Equation Modelling with Partial Least Squares Using Stata and R. Taylor & Francis Group, 2021.

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36

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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37

Kwok, Oi-Man, Mike W. L. Cheung, Suzanne Jak, Ehri Ryu, and Jerry Jiun-Yu Wu, eds. Recent Advancements in Structural Equation Modeling (SEM): From Both Methodological and Application Perspectives. Frontiers Media SA, 2019. http://dx.doi.org/10.3389/978-2-88945-743-4.

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38

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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39

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

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40

Lee, Sik-Yum. Structural Equation Modelling: A Bayesian Approach (Wiley Series in Probability and Statistics). Wiley, 2007.

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41

Metacognitive and Cognitive Strategy Use in Reading Comprehension: A Structural Equation Modelling Approach. Springer Singapore Pte. Limited, 2019.

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42

Zhang, Limei. Metacognitive and Cognitive Strategy Use in Reading Comprehension: A Structural Equation Modelling Approach. Springer, 2017.

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43

Jie gou fang cheng shi mo xing: Zhuan ti fen xi = SEM : Structural Equation Modelss. Xiu wei zi xun ke ji chu ban, 2010.

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44

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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45

(Editor), Kees van Montfort, Johan Oud (Editor), and Albert Satorra (Editor), eds. Recent Developments on Structural Equation Models: Theory and Applications (Mathematical Modelling: Theory and Applications). Springer, 2004.

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46

M, Sardar. Digitalisation of Supply Chain Management and Firm Performance: Structural Equation Modelling and Empirical Findings. Nova Science Publishers, Incorporated, 2020.

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47

M, Sardar. Digitalisation of Supply Chain Management and Firm Performance: Structural Equation Modelling and Empirical Findings. Nova Science Publishers, Incorporated, 2019.

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48

Joreskog, Karl G., and Dag Sorbom. Lisrel 8 : Structural Equation Modeling With the Simplis Command Language. Lawrence Erlbaum Associates, 1993.

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49

Joreskog, Karl G., and Dag Sorbom. Lisrel 8: Structural Equation Modeling With the Simplis Command Language. Lawrence Erlbaum Associates, 1993.

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50

Ramlall, Indranarain. Applied Structural Equation Modelling for Researchers and Practitioners: Using R and Stata for Behavioural Research. Emerald Publishing Limited, 2016.

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