Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 0 |
| Since 2007 (last 20 years) | 3 |
Descriptor
| Foreign Countries | 3 |
| Models | 3 |
| Motivation | 3 |
| Program Validation | 3 |
| Questionnaires | 3 |
| Structural Equation Models | 3 |
| Emotional Response | 2 |
| Measurement Techniques | 2 |
| Self Efficacy | 2 |
| Academic Achievement | 1 |
| Achievement Need | 1 |
| More ▼ | |
Author
Publication Type
| Journal Articles | 3 |
| Reports - Research | 2 |
| Reports - Evaluative | 1 |
| Tests/Questionnaires | 1 |
Education Level
| Higher Education | 2 |
| Postsecondary Education | 1 |
Audience
Location
| Italy | 1 |
| Malaysia | 1 |
| United Kingdom | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkMega, Carolina; Ronconi, Lucia; De Beni, Rossana – Journal of Educational Psychology, 2014
The authors propose a theoretical model linking emotions, self-regulated learning, and motivation to academic achievement. This model was tested with 5,805 undergraduate students. They completed the Self-Regulated Learning, Emotions, and Motivation Computerized Battery (LEM-B) composed of 3 self-report questionnaires: the Self-Regulated Learning…
Descriptors: Academic Achievement, Motivation, Active Learning, Emotional Response
Perry, John L.; Nicholls, Adam R.; Clough, Peter J.; Crust, Lee – Measurement in Physical Education and Exercise Science, 2015
Despite the limitations of overgeneralizing cutoff values for confirmatory factor analysis (CFA; e.g., Marsh, Hau, & Wen, 2004), they are still often employed as golden rules for assessing factorial validity in sport and exercise psychology. The purpose of this study was to investigate the appropriateness of using the CFA approach with these…
Descriptors: Factor Analysis, Structural Equation Models, Goodness of Fit, Sport Psychology
Ahmad, Tunku Badariah Tunku; Madarsha, Kamal Basha; Zainuddin, Ahmad Marzuki; Ismail, Nik Ahmad Hisham; Nordin, Mohamad Sahari – Australasian Journal of Educational Technology, 2010
The first aim of the present study is to validate an extended technology acceptance model (TAME) on the data derived from the faculty members of a university in an ongoing, computer mediated work setting. The study extended the original TAM model by including an intrinsic motivation component--computer self efficacy. In so doing, the study…
Descriptors: Structural Equation Models, Self Efficacy, Motivation, Foreign Countries
