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

Author(s):  
Lay Yoon Fah ◽  
◽  
Ng Khar Thoe ◽  
Khoo Chwee Hoon ◽  
Chan Sane Hwui ◽  
...  

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).

Author(s):  
Melany Hebles Ortiz ◽  
Manuel Alonso-Dos-Santos ◽  
Concepción Yaniz Alvarez-de-Eulate ◽  
Lourdes Villardon-Gallego

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.


2020 ◽  
Author(s):  
Tanwne Sarker ◽  
Apurbo Sarkar ◽  
Md. Ghulam Rabbany ◽  
Milon Barmon ◽  
Rana Roy ◽  
...  

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.


2019 ◽  
Vol 8 (4) ◽  
pp. 12515-12521

A survey based design in research is followed due to numeric and accurate description of paradigms covering attitudes and opinions of the respondents. The purpose of survey research is to gather data from groups of people by utilizing a questionnaire. A questionnaire was designed for B school students titled “Perception among B School Graduates about the importance of Soft Skills Training in enhancing Employability Competency”. It was to analyze the impact of soft skills training on the employability competency of B-School graduates. Structural Equation Modeling (SEM) was used to establish convergent validity, discriminant validity and internal consistency (reliability) of the above questionnaire before conducting the survey. Convergent validity ideally connotes to the measure of constructs to be theoretically related and actually is related. Discriminant validity on the other hand denotes the distance between items, and that they should not be too closely related to one another. Convergent validity is proven when constructs that are similar respond to one another, while Discriminant validity is said to exist if we can sufficiently differentiate two of the dissimilar constructs. Reliability refers to the confirmation of the instrument to be free from errors. Structural Equation Modeling was used to establish internal consistency, which indicates how well items score when it comes to the test of consistency against one another. The main purpose of this study was to evaluate and test the validity and reliability of the research instrument used to analyze the impact of soft skills training on the employability competency of B-School graduates


2018 ◽  
Vol 19 (4) ◽  
pp. 1270-1286 ◽  
Author(s):  
James Ross ◽  
Leslie Nuñez ◽  
Chinh Chu Lai

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.


Author(s):  
Nicholas J. Ashill

Over the past 15 years, the use of Partial Least Squares (PLS) in academic research has enjoyed increasing popularity in many social sciences including Information Systems, marketing, and organizational behavior. PLS can be considered an alternative to covariance-based SEM and has greater flexibility in handling various modeling problems in situations where it is difficult to meet the hard assumptions of more traditional multivariate statistics. This chapter focuses on PLS for beginners. Several topics are covered and include foundational concepts in SEM, the statistical assumptions of PLS, a LISREL-PLS comparison and reflective and formative measurement.


2019 ◽  
Author(s):  
Joseph F. Hair Jr. ◽  
G. Tomas M. Hult ◽  
Christian M. Ringle ◽  
Marko Sarstedt ◽  
Julen Castillo Apraiz ◽  
...  

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