The purpose of this study was to examine the extent to which Chinese and Spanish translations of the College Student version of the MUSIC ® Model of Academic Motivation Inventory (MUSIC Inventory; Jones, 2012) demonstrate acceptable psychometric properties. We surveyed 300 students at a university in China and 201 students at a university in Colombia using versions of the MUSIC Inventory that were translated into Chinese and Spanish, respectively. To assess the psychometric properties of the inventory, we examined: (a) the internal consistency reliabilities for all of the scales, (b) the fit indices and factor loadings produced from confirmatory factor analysis, and (c) correlations between the MUSIC Inventory scales and behavioral and cognitive engagement. The results provide evidence that the Chinese and Spanish translations of the MUSIC Inventory demonstrate acceptable psychometric properties for use with undergraduate students. Therefore, instructors and researchers can use the translated inventories to assess students' perceptions of the five MUSIC ® Model of Motivation components. ResumenEl propósito de este estudio era determinar en qué medida se cumplían las propiedades sicométricas de las traducciones al dhino y al español de la versión para estudiantes universitarios del cuestionario de motivación académica MUSIC (MUSIC Inventory; Jones, 2012). Encuestamos 300 estudiantes de una universidad en China y 201 estudiantes de una universidad en Colombia usando versiones del cuestionario MUSIC traducidas al chino y al español, respectivamente. Para medir las propiedades sicométricas del cuestionario, examinamos: a) La confiabilidad de consistencia interna para todas las escalas b) los índices de ajuste y peso de los factores producidos a partir de un análisis factorial confirmatorio, y (c) las correlaciones entre las escalas del cuestionario MUSIC y el involucramiento conductual y cognitivo. Los resultados proveen evidencia que tanto las traducciones al chino como al español del cuestionario MUSIC demuestran aceptables propiedades sicométricas para su uso con estudiantes de pregrado. Por tanto, profesores e investigadores pueden usar los cuestionarios para medir las percepciones de los estudiantes de los 5 componentes del modelo de motivación académica MUSIC. Palabras clave: Modelo de motivación académica MUSIC, involucramiento, evaluación, motivación de estudiantes
is an assistant professor of Electronic Engineering at Universidad Javeriana in Colombia and a Ph.D. candidate of Engineering Education at Virginia Tech. He has a B.S. in Electronic Engineering and a Masters in Education from Universidad Javeriana in Colombia, His research interests include using system thinking to understand how instructional change occurs, faculty development process, and faculty and students motivation.
Engineering culture is a complex phenomenon that needs to be understood to promote the value of professional skills and not only the technical skills that have been traditionally valued in engineering. This study investigates ways to identify patterns of cultural traits in undergraduate engineering students, by using and validating an instrument originally developed to measure national culture. This study was conducted in three phases: in Phase 1, we validated an instrument to measure engineering culture based on Hofstede’s model of national culture. In this phase, we conducted an exploratory factor analysis and a reliability analysis with responses of 1261 undergraduate students. In phase 2, we identified how the dimensions in Hofstede’s model mapped and differed between academic engineering disciplines. To accomplish that goal, we conducted descriptive statistics and an analysis of the variance of responses of 794 engineering students. In phase 3, we analyzed if some of Hofstede’s dimensions are inherent to prospective engineering students or if they were influenced by their specific engineering programs. In phase 3, we collected data from 1,330 first-year engineering students and compared them with data from the same students at the end of their first year. Moreover, for three specific majors, we compared them with data of 261 senior students. Results demonstrated the validity of the instrument in academic disciplines and showed that the uncertainty avoidance dimension of Hofstede’s model differed between three engineering majors (i.e., ECE, ISE, and CS). This dimension did not differ after the first year but changed in the senior year.
is an assistant professor of Electronic Engineering at Universidad Javeriana in Colombia and a Ph.D. candidate of Engineering Education at Virginia Tech. He has a B.S. in Electronic Engineering and a Masters in Education from Universidad Javeriana in Colombia, His research interests include using system thinking to understand how instructional change occurs, faculty development process, and faculty and students motivation.
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