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Academic Motivation Scale6
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Rosenberg Self Esteem Scale1
Test Anxiety Inventory1
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Vianchá Pinzón, Mildred Alexandra; Parra Guarnizo, José Alirio – Electronic Journal of Research in Educational Psychology, 2023
Introduction: The discussion around academic achievement in the context of distance education has raised the need to develop studies that allow identifying the variables that best predict it. The goal of this study was to analyze the fit of a structural equations model that assumes that sociodemographic variables, personality traits, motivation…
Descriptors: Predictor Variables, Academic Achievement, Psychology, Distance Education
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Philippe, Frederick L.; Gingras, Marie-Pier; Ghassemi-Bakhtiari, Nessa; Poulin, François; Robitaille, Jean; Denault, Anne-Sophie; Dandeneau, Stéphane; Geoffroy, Marie-Claude – Applied Developmental Science, 2023
Unlike organized activities such as sports and arts, civic activities in adolescence (e.g., volunteering, student government) have been less studied in relation to school success and almost all existing evidence consists of cross-sectional findings. In a longitudinal study, 1035 pupils (64% females, 20% nonwhite, M[subscript age] = 14.21 years)…
Descriptors: Citizen Participation, Academic Achievement, Grade Point Average, High School Students
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Ünal-Karagüven, M. Hülya – Journal of Education and Training Studies, 2015
Academic motivation and test anxiety have been still adduced for low performance of students by educators. To know the factors that have an effect on students' academic motivation and test anxiety levels can be helpful to improve students' academic performance. The aim of this study was to investigate the effects of demographic variables and…
Descriptors: Motivation, Test Anxiety, Self Determination, High School Students
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Warden, David N; Myers, Charlsie A. – College Student Journal, 2017
The relationship between domain-specific nonintellective variables and academic achievement among nontraditional students was explored to address uninvestigated factors and clarify distinctions between nontraditional and traditional student achievement. College students (nontraditional n = 72, traditional n = 67) completed an online survey…
Descriptors: Nontraditional Students, Student Characteristics, Academic Achievement, College Students
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Donche, Vincent; De Maeyer, Sven; Coertjens, Liesje; Van Daal, Tine; Van Petegem, Peter – British Journal of Educational Psychology, 2013
Background. Although the evidence in support of the variability of students' learning strategies has expanded in recent years, less is known about the explanatory base of these individual differences in terms of the joint Influences of personal and contextual characteristics. Aims. Previous studies have often investigated how student learning is…
Descriptors: Foreign Countries, Personality Traits, Learning Strategies, Context Effect
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Wighting, Mervyn J.; Liu, Jing; Rovai, Alfred P. – Quarterly Review of Distance Education, 2008
Discriminant analysis was used to determine whether classifications could be made between students enrolled in e-learning and in face-to-face university courses (N = 353) based on their scores from separate instruments measuring sense of community and motivation. Study results provide evidence that the predictors were able to distinguish between…
Descriptors: Electronic Learning, Online Courses, Discriminant Analysis, Academic Achievement