Exploring the first year academic achievement of school leavers and mature-age students through structural equation modelling

McKenzie, Kirsten; Gow, Kathryn

doi:10.1016/j.lindif.2003.10.002

Cited by 81 publications

(67 citation statements)

References 10 publications

(15 reference statements)

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“…The estimation of SEM included two procedures: evaluate the validity of the measurement model and test the structure model [23,51]. In the first procedure, confirmatory factor analysis (CFA) was run.…”

Section: Variable Measurementsmentioning

confidence: 99%

“…Two criteria for assessing the validity of the measurement model are the acceptable levels of goodness-of-fit (GOF) and construct validity [52]. Although different studies reported Chi-square test and other various GOF indices [23,51,53], there are several goodness-of-fit indices commonly used, including root mean square error of approximation (RMSEA), comparative fit index (CFI), goodness-of-fit index (GFI), normed fit index (NFI), and normed Chi-square (χ 2 /df) [54]. Besides, in order to get the value of construct validity, three indicators need to be calculated: standardized factor loadings, average variance extracted (AVE) and construct reliability (CR) [23].…”

Section: Variable Measurementsmentioning

confidence: 99%

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What Motivates Farmers’ Adaptation to Climate Change? The Case of Apple Farmers of Shaanxi in China

et al. 2017

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Past studies showing that barriers to farmers' adaptation behaviors are focused on their socio-economic factors and resource availability. Meanwhile, psychological and social considerations are sparingly mentioned, especially for the related studies in developing countries. This study investigates the impact of psychological factors and social appraisal on farmers' behavioral intention to adopt adaptation measures for the aforementioned reason, due to climate change and not to anthropogenic climate change. Drawing on the protection motivation theory, a threat, coping, social appraisal, maladaptation and behavioral intention to adopt adaptation measures (TCSMBI) model was proposed to predict farmers' adaptation. A structural equation model was then employed to analyze the relationships between variables in the TCSMBI model with 658 apple farmers in Shaanxi province, China. The empirical results showed that threat appraisal and coping appraisal have positive and significant impacts on behavioral intention to climate change. Moreover, threat appraisal reduces the occurrence of maladaptation, and social appraisal tends to have significantly positive impacts on threat appraisal and coping appraisal.

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Section: Variable Measurementsmentioning

confidence: 99%

Section: Variable Measurementsmentioning

confidence: 99%

What Motivates Farmers’ Adaptation to Climate Change? The Case of Apple Farmers of Shaanxi in China

et al. 2017

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“…Leveson (1999) found small group work to assist accounting students. A study at La Trobe University found structural equation modelling helpful in identifying the characteristics of successful students in health sciences (McKenzie and Gow 2004) and collaboration between computing and IT proved effective at Monash University (Hagan and Macdonald 2000).…”

Section: Introductionmentioning

confidence: 99%

First year expectations and experiences: student and teacher perspectives

et al. 2008

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Transitioning from high-school to university can be difficult, and many university teachers feel students are often ill-prepared for the change. To investigate this 233 Humanities and Science students at the University of Adelaide were surveyed 6 months into their first year regarding experiences of teaching and learning at university. 189 students were also surveyed 18 months after commencement, to gain retrospective views of their transition year, as were lecturers and tutors of both groups. Results were compared to similar Orientation Week questionnaires that focused on expectations. Questions included reasons for selecting degrees, quality of teacher feedback and perceived impact of outside commitments. Even though student expectations, student experience, and teacher views differed, remarkable similarities emerged across the two degree programs (Science and Humanities). Our findings thus highlight a call for non-specialised transition programs to meet the needs of first year students and facilitate the transition from secondary to tertiary education.

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“…Tradicionalmente la madurez, el espíritu crítico, la perseverancia y la experiencia que lleva implícita una mayor edad, frente a estudiantes jóvenes, podrían sugerir que la edad se relacione positivamente con determinados estilos de aprendizaje (Justice y Dornan, 2001, McKenzie y Gow, 2004 y por extensión, con el rendimiento académico universitario. Sin embargo, las cargas económicas, laborales y familiares (Tones et al, 2009), la distancia temporal de los estudios previos de acceso (Peiperl y Trevelyan, 1997) o el déficit de habilidades tecnológicas, que pueden facilitar el aprendizaje (Tones et al, 2009), que generalmente acompañarían a estos perfiles, también se han identificado como razones de peso que no favorecen la mejora del rendimiento académico universitario.…”

Section: Contextounclassified

La edad y el rendimiento académico universitario - [Age and Academic Performance of College Students]

Tarragona¹,

Vinuesa²,

Scarpellini³

2017

La Innovación Docente Como Misión Del Profesorado : Congreso Internacional Sobre Aprendizaje, Innovación Y Competitividad

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Resumen-En este trabajo se analiza la relación entre la edad y el rendimiento académico universitario en un curso de adaptación al Grado en Administración y Dirección de Empresas que por su naturaleza, dirigido a titulados de la anterior ordenación en España, posibilita la creación de grupos de población heterogénea. Para ello. se prepara y analiza una base de datos de 72 estudiantes matriculados en una asignatura de finanzas del curso de adaptación. Los resultados del análisis de regresión muestran que el incremento en la edad afecta negativamente al rendimiento del estudiante, en la primera convocatoria del semestre en el que se ubica la asignatura.. Además se comprueba que los efectos de la edad sobre el rendimientoacadémico universitario son independientes del sistema de evaluación.Palabras clave: Rendimiento académico universitario, edad, sistema de evaluación continuada, curso de adaptación, educación superior.Abstract-This paper analyzes the relationship between the age and the academic performance of college students. The empirical study is carried on a group of students who were following the Adjustment Course to the Degree in Business Administration and Management in a Spanish public university; this Course is designed for graduates of the previous management and enables the creation of heterogeneous population groups. To this end, a database of 72 students enrolled in a course of finance of the adaptation course is prepared and analyzed. Results of regression analysis show the negative effects of the age on students´ academic performance in the first round of the semester in which the degree course is located. Moreover, effects of age on students´ academic performance are not different from Students who choose a continuous assessment system and students who choose a comprehensive evaluation system. Keywords: Academic performance, Student´ Age, Continuous Assessment System, Adjustment Course to the Degree, Higher Education INTRODUCCIÓNLos constantes cambios en las circunstancias económicas, sociales y tecnológicas unido al propio proceso emprendido por las universidades europeas para la construcción del Espacio Europeo de Educación Superior (EEES) hace que el paso por la universidad sea contemplado no sólo por estudiantes con edades teóricas de acceso, es decir, que han seguido ininterrumpidamente el itinerario temporal e institucional del proceso educativo hasta incorporarse al ámbito universitario, sino por estudiantes de mayor edad, que desean progresar en el sistema educativo bien procedentes de ordenaciones anteriores y con experiencia laboral, o bien desean iniciar, concluir, adaptar o ampliar sus estudios universitarios. (2007) señalan que las diferentes edades, distintas procedencias o la experiencia previa de acceso provocan un incremento de la diversidad en la educación superior. En este contexto de diversidad, cobra un interés especial el estudio de las relaciones entre la edad de los estudiantes y su rendimiento académico universitario.Hasta el momento, las investigaciones sobre los efecto...

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Exploring the first year academic achievement of school leavers and mature-age students through structural equation modelling

Cited by 81 publications

References 10 publications

What Motivates Farmers’ Adaptation to Climate Change? The Case of Apple Farmers of Shaanxi in China

What Motivates Farmers’ Adaptation to Climate Change? The Case of Apple Farmers of Shaanxi in China

First year expectations and experiences: student and teacher perspectives

La edad y el rendimiento académico universitario - [Age and Academic Performance of College Students]

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