scholarly journals Evaluation of Preventive, Supportive and Awareness Building Measures among International Students in China in Response to COVID-19: A Structural Equation Modeling Approach

2020 ◽  
Author(s):  
Tanwne Sarker ◽  
Apurbo Sarkar ◽  
Md. Ghulam Rabbany ◽  
Milon Barmon ◽  
Rana Roy ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
International Students ◽  
Least Squares ◽  
Partial Least Squares ◽  
Latent Variables ◽  
Convergent Validity ◽  
Structural Equation ◽  
Equation Modeling ◽  
Local Authorities ◽  
The Impact

Abstract Background The Coronavirus Disease 2019 (COVID-19) with its high mortality, stigma and panic has compelled many cities and countries to complete lockdown. The worldwide student group is one of the most affected and vulnerable communities in this situation. Our current study aimed to assess the impact of the behavior change communication among international students in China in current COVID-19 crisis.Methods In this paper, we have utilized partial least squares-structural equation modeling (PLS-SEM) to understand the health behaviour changes of international students in China in response to novel Coronavirus outbreak. We mainly analyzed the relationship among the three selected latent variables (preventive, supportive and awareness building) based on a survey among the international students (n=467) in China in February 2020. We obtained their valuable responses regarding level of awareness, satisfaction and trust in authorities (i.e., government, local authorities and institutions) during this emergency period. Results We utilized 22 indicators in the conceptual framework model with the help of Smart PLS 2.0 version software. The lowest average variance extracted (AVE) for all the constructs of our paper exceeded the minimum accepted value of 0.5, representing the adequate convergent validity. Prediction of students’ satisfaction, the key outcome degree of the model, was nearly moderate, with an R2 = 0.507 whereas the prediction of trust in authorities was above substantial, with an R2 = 0.797. Therefore, our PLS-SEM model showed a strong and significant positive association between preventive and supportive measures taken for the study population and gaining trust, awareness and satisfaction in authorities. Conclusions Integrated partial least squares-structural equation modeling (PLS-SEM) can be a great way to measure the satisfaction and trust level of various population groups over government, local authorities, and institutions in public health emergency like COVID-19 crisis. We believe that our findings are important for travel and global health perspectives. Other countries can learn and take necessary initiatives for their international students and general public to halt this deadly epidemic with gaining their satisfaction and trust as well.

scholarly journals Structural equation models - PLS in engineering sciences: a brief guide for researchers through a case applied to the industry

Athenea ◽  
2021 ◽  
Vol 2 (4) ◽  
pp. 5-18
Author(s):  
Juan Enrique Villalva A.
Keyword(s):  
Structural Equation Modeling ◽  
Least Squares ◽  
Partial Least Squares ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Structural Equations ◽  
Partial Least Square ◽  
Equation Modeling ◽  
Engineering Sciences ◽  
The Impact

Modeling using structural equations, is a second generation statistical data analysis technique, it has been positioned as the methodological options most used by researchers in various fields of science. The best known method is the covariance-based approach, but it presents some limitations for its application in certain cases. Another alternative method is based on the variance structure, through the analysis of partial least squares, which is an appropriate option when the research involves the use of latent variables (for example, composite indicators) prepared by the researcher, and where it is necessary to explain and predict complex models. This article presents a brief summary of the structural equation modeling technique, with an example on the relationship of constructs, sustainability and competitiveness in iron mining, and is intended to be a brief guide for future researchers in the engineering sciences. Keywords: Competitiveness, Structural equations, Iron mining, Sustainability. References [1]J. Hair, G. Hult, C. Ringle and M. Sarstedt. A Primer on Partial Least Square Structural Equation Modeling (PLS-SEM). California: United States. Sage, 2017. [2]H. Wold. Model Construction and Evaluation when Theoretical Knowledge Is Scarce: An Example of the Use of Partial Least Squares. Genève. Faculté des Sciences Économiques et Sociales, Université de Genève. 1979. [3]J. Henseler, G. Hubona & P. Ray. “Using PLS path modeling new technology research: updated guidelines”. Industrial Management & Data Systems, 116(1), 2-20. 2016. [4]G. Cepeda and Roldán J. “Aplicando en la Práctica la Técnica PLS en la Administración de Empresas”. Congreso de la ACEDE, Murcia, España, 2004. [5]D. Garson. Partial Least Squares. Regresión and Structural Equation Models. USA. Statistical Associates Publishing: 2016. [6]D. Barclay, C. Higgins & R. Thompson. “The Partial Least Squares (PLS) Approach to Causal Modeling: Personal Computer Adoption and Use as an Illustration”. Technology Studies. Special Issue on Research Methodology. (2:2), pp. 285-309. 1995. [7]J. Medina, N. Pedraza & M. Guerrero. “Modelado de Ecuaciones Estructurales. Un Enfoque de Partial Least Square Aplicado en las Ciencias Sociales y Administrativas”. XIV Congreso Internacional de la Academia de Ciencias Administrativas A.C. (ACACIA). EGADE – ITESM. Monterrey, México, 2010. [8]J. Medina & J. Chaparro. “The Impact of the Human Element in the Information Systems Quality for Decision Making and User Satisfaction”. Journal of Computer Information Systems. (48:2), pp. 44-52. 2008. [9]D. Leidner, S. Carlsson, J. Elam & M. Corrales. “Mexican and Swedish Managers’ Perceptions of the Impact of EIS on Organizational Intelligence, Decisión Making, and Structure”. Decision Science. (30:3), pp. 633-658. 1999.[10]W. Chin. “The partial least squares approach for structural equation modeling”. Chapter Ten, pp. 295-336 in Modern methods for business research. Edited by Macoulides, G. A., New Jersey: Lawrence Erlbaum Associates, 1998. [11]M. Höck & C. Ringle M. “Strategic networks in the software industry: An empirical analysis of the value continuum”. IFSAM VIIIth World Congress, Berlin 2006. [12]J. Henseler, Ch. Ringle & M. Sarstedt. Handbook of partial least squares: Concepts, methods and applications in marketing and related fields. Berlin: Springer, 2012. [13]S. Daskalakis & J. Mantas. “Evaluating the impact of a service-oriented framework for healthcare interoperability”. Studies in Health Technology and Informatics. pp. 285-290. 2008. [14]C. Fornell & D. Larcker: “Evaluating Structural Equation Models with Unobservable Variables and Measurement Error”, Journal of Marketing Research, vol. 18, pp. 39-50. Februay 1981. [15]C. Fornell. A Second Generation of Multivariate Analysis: An Overview. Vol. 1. New York, U.S.A. Praeger Publishers: 1982. [16]R. Falk and N. Miller. A Primer for Soft Modeling. Ohio: The University of Akron. 1992. [17]M. Martínez. Aplicación de la técnica PLS-SEM en la gestión del conocimiento: un enfoque técnico práctico. Revista Iberoamericana para Investigación y el Desarrollo Educativo. Vol. 8, Núm. 16. 2018. [18]S. Geisser. “A predictive approach to the random effects model”. Biometrika, Vol. 61(1), pp. 101-107. 1974. [19]J. Cohen. Statistical power analysis for the behavioral sciences. Mahwah, NJ: Lawrence Erlbaum, 1988. [20]GRI (2013). G4 Sustainability Reporting Guidelines. Global Reporting Initiative. Available: www.globalreporting.org

Diseño y validación de la escala Evaluación de los Aprendizajes (EEA)

2017 ◽  
Vol 21 (2) ◽  
pp. 107-126
Author(s):  
Melany Hebles Ortiz ◽  
Manuel Alonso-Dos-Santos ◽  
Concepción Yaniz Alvarez-de-Eulate ◽  
Lourdes Villardon-Gallego
Keyword(s):  
Structural Equation Modeling ◽  
Least Squares ◽  
Partial Least Squares ◽  
Convergent Validity ◽  
Structural Equation ◽  
Assessment Process ◽  
Learning Assessment ◽  
Equation Modeling ◽  
Theoretical Concepts ◽  
Dimensions Of Learning

Resumen:El objetivo de esta investigación ha sido diseñar y validar un instrumento para evaluar la práctica evaluadora en la enseñanza universitaria desde un enfoque de Evaluación Orientada al Aprendizaje, caracterizado por incorporar las actividades de evaluación como actividades de aprendizaje, implicar a los estudiantes en el proceso y ofrecer retroalimentación con información precisa para orientar cambios hacia la mejora del aprendizaje. Para ello se elaboró la Escala sobre la Evaluación de los Aprendizajes (EEA) y se aplicó a una muestra de 1205 estudiantes de una Universidad Chilena. A partir de los datos recogidos se evaluaron las propiedades psicométricas de la escala propuesta así como su capacidad para reflejar los conceptos teóricos y constructos utilizados. Para el análisis estadístico se empleó el método de mínimos cuadrados parciales (PLS, partial least squares) en un modelo de ecuaciones estructurales (SEM, structural equation modeling). Los resultados indican que la escala es válida y fiable para medir el proceso de evaluación de los aprendizajes. Se han corroborado la fiabilidad de los ítems y de las dimensiones, y su validez discriminante y convergente. En consecuencia, los resultados de la investigación permiten confirmar el modelo teórico de nueve dimensiones de la Evaluación Orientada al Aprendizaje: coherencia entre objetivos de aprendizaje y evaluación, cobertura, utilización de los resultados, planificación, contenidos, sistematización, agentes, retroalimentación y momentos.Abstract:The goal of this research has been to design and validate an instrument to evaluate the assessment process in higher education from the perspective of a learning-oriented assessment, characterized by incorporating evaluation activities as learning activities, involve students in the process and provide accurate feedback to guide changes towards improving learning. For this, a scale on the Assessment of Learning (EEA, Escala de Evaluación de los Aprendizajes) was developed and applied to a sample of 1205 students of a Chilean university. The psychometric properties of the proposed scale were evaluated as well as its capability to reflect the theoretical concepts and constructs used. For statistical analysis, the method of partial least squares (PLS) was used in a structural equation modeling (SEM). The results show that the scale is valid and reliable to measure the process of learning assessment. Moreover, they have confirmed the reliability of the items, dimensions and discriminant and convergent validity. Consequently, the results of the research can confirm the theoretical model of nine dimensions of learning-oriented assessment: coherence between learning objectives and evaluation, hedging, use of results obtained, planning, contents, systemizing, agents, feedback and moments.

scholarly journals Learning Mathematics of Financial Operations during the COVID-19 Era: An Assessment with Partial Least Squares Structural Equation Modeling

Mathematics ◽  
2021 ◽  
Vol 9 (17) ◽  
pp. 2120
Author(s):  
María del Carmen Valls Martínez ◽  
Pedro Antonio Martín-Cervantes ◽  
Ana María Sánchez Pérez ◽  
María del Carmen Martínez Victoria
Keyword(s):  
Structural Equation Modeling ◽  
Least Squares ◽  
Partial Least Squares ◽  
Latent Variables ◽  
Structural Equation ◽  
Equation Modeling ◽  
Valuation Model ◽  
Video Tutorials ◽  
Effective Performance ◽  
Teaching Learning

The COVID-19 pandemic has affected all walks of life, including education. Universities have been forced to teach in a blended or online environment, which has led professors to adapt their traditional teaching–learning methodologies. The professors of Mathematics of Financial Operations at the University of Almeria (Spain) have created video tutorials so that students can autonomously prepare the theoretical part of the subject, leaving the face-to-face classes for practical exercises. This article aims to analyze the effectiveness of video tutorials and the autonomy finally achieved by students in their learning. For this purpose, a questionnaire was carried out in which, through 21 questions, the constructs Autonomy, Effectiveness, Depth, Format, Challenge, and Use were assessed. Based on these six latent variables, the proposed model using the Partial Least Squares Structural Equation Modeling (PLS-SEM) methodology revealed that students considered the Format and Depth of the video tutorials crucial for genuinely effective performance learning and promoting their autonomy. On the other hand, the variables Challenge and Use were poorly rated. This article presents an original valuation model, which has the virtue of achieving a prediction of 78.6% and, in addition, has high predictive power.

EXAMINING THE PSYCHOMETRIC PROPERTIES OF A MALAYSIAN RELEVANCE OF SCIENCE EDUCATION (MROSE) QUESTIONNAIRE USING PARTIAL LEAST SQUARES STRUCTURAL EQUATION MODELING (PLS-SEM)

2019 ◽  
Author(s):  
Lay Yoon Fah ◽  
◽  
Ng Khar Thoe ◽  
Khoo Chwee Hoon ◽  
Chan Sane Hwui ◽  
...  
Keyword(s):  
Science Education ◽  
Structural Equation Modeling ◽  
Least Squares ◽  
Partial Least Squares ◽  
Secondary Students ◽  
Convergent Validity ◽  
Structural Equation ◽  
Discriminant Validity ◽  
Equation Modeling ◽  
Validity And Reliability

This research is aimed to validate an instrument, the Malaysian version of ROSE or MROSE to gauge Malaysian secondary students’ interests, attitudes, values, and priorities in S&T-related issues. Partial Least Squares-Structural Equation Modeling approach was used to evaluate the validity and reliability of the instrument. The internal consistency reliability (composite reliability and Cronbach’s Alpha coefficient), convergent validity (Average Variance Extracted), and discriminant validity (cross loadings, Fornell-Larcker criterion, and Heterotrait-Monotrait ratio) for each individual item of the instrument were being assessed. Keywords: affective factor, PLS-SEM, science and technology, relevance of science education (ROSE).

scholarly journals The Impact of Eco-Innovation on Performance Through the Measurement of Financial Resources and Green Patents

2018 ◽  
Vol 33 (2) ◽  
pp. 285-310 ◽  
Author(s):  
Luz María Marín-Vinuesa ◽  
Sabina Scarpellini ◽  
Pilar Portillo-Tarragona ◽  
José M. Moneva
Keyword(s):  
Structural Equation Modeling ◽  
Financial Performance ◽  
Least Squares ◽  
Partial Least Squares ◽  
Structural Equation ◽  
Positive Relationship ◽  
Financial Resources ◽  
Equation Modeling ◽  
Environmental Capability ◽  
The Impact

The main objective of this article is to contribute empirically to the understanding of the impact that eco-innovation has on firms’ financial performance within the framework of the resources-based view. Specifically, eco-innovation is measured by using eco-innovative activities and financial resources applied to eco-innovation to argue that the identification and measurement of certain resources of firms allow companies that are particularly active in investing in eco-innovation to be more competitive. Furthermore, the analysis attempts to ascertain whether firms that own green patents and other characteristics exhibit different level of financial performance than firms without registered green patents. The empirical partial least squares structural equation modeling results indicate a positive relationship between the investment of resources and the financial performance of eco-innovative firms. The effects of involving managers in eco-innovative processes as an environmental capability of firms are also tested.

scholarly journals KAJIAN ANALISIS JALUR DENGAN STRUCTURAL EQUATION MODELING (SEM) SMART-PLS 3.0

2020 ◽  
Vol 3 (2) ◽  
pp. 28-48
Author(s):  
I Made Anom Arya Pering
Keyword(s):  
Structural Equation Modeling ◽  
Path Analysis ◽  
Organizational Performance ◽  
Least Squares ◽  
Partial Least Squares ◽  
Direct Effect ◽  
Structural Equation ◽  
Employee Performance ◽  
Equation Modeling ◽  
The Impact

Study on Path Analysis using Structural Equation Modeling (SEM) Smart Partial Least Squares (PLS) software version 3.0 with the aim of testing the Impact or Effect of Training on Employee Performance and Organizational Performance, whether it has a significant effect.The analysis results obtained are:First, the Effect of Employee Performance on Organizational Performance.The t-statistic value of 2.721 and the significance (t-table significance of 5% = 1.96) because the t-statistic value of 2.721 is greater () than the t-table of 1.96, Employee Performance has a "significant" effect on Organizational Performance.Second, the Effect of Training (Training) on Employee PerformanceThe t-statistic value of 2.688 significance (t-table significance of 5% = 1.96) because the t-statistic value of 2.688 is greater () than the t-table of 1.96, the Training has a "significant" effect on Employee Performance.Third, the Effect of Training (Training) on Organizational PerformanceThe t-statistic value of 0.338 significance (t-table significance of 5% = 1.96) because the t-statistic value of 0.338 is smaller () than t-table 1.96, the "insignificant" Training has a direct effect on Organizational Performance.

scholarly journals eWOM in C2C Platforms: Combining IAM and Customer Satisfaction to Examine the Impact on Purchase Intention

2021 ◽  
Vol 16 (5) ◽  
pp. 1612-1630
Author(s):  
Salvador Bueno ◽  
M. Dolores Gallego
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Purchase Intention ◽  
Structural Equation ◽  
Source Credibility ◽  
Positive Impact ◽  
Equation Modeling ◽  
Research Model ◽  
Argument Quality ◽  
The Impact

This study is focused on communications that come from consumer-to-consumer (C2C) ecommerce relationships. This topic is directly associated with the electronic word-of-mouth (eWOM) phenomenon. eWOM is related to the set of positive or negative opinions made by potential, actual, or former customers about a seller. The present study proposes a structural equation modeling with partial least squares (PLS-SEM) research model to analyze consumers’ opinions impact on attitude toward purchasing. This model is based on the Information Adoption Model (IAM) in combination with an ecommerce satisfaction perspective, comprising five constructs: (1) service quality, (2) ecommerce satisfaction, (3) argument quality, (4) source credibility and (5) purchase intention. The model was tested by applying the Smart Partial Least Squares (SmartPLS) software for which 116 effective data from customers of the Taobao C2C platform were used. The findings reveal that all of the defined relationships were supported, confirming the positive impact of all the proposed constructs on the purchase intention. In this respect, the findings suggest that C2C platforms should strengthen the analyzed connections to grow the business and to promote transactions. Finally, implications and limitations related to the explanatory capacity and the sample are identified.

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