Psychometric testing for HEODAR tool
Autor: | Claudia Orozco Rodríguez, Erla Mariela Morales Morgado |
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Rok vydání: | 2016 |
Předmět: |
Information retrieval
business.industry 05 social sciences 050301 education Validity 02 engineering and technology Poor quality Reliability engineering Test (assessment) Educational resources 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing The Internet Psychometric testing Psychology business 0503 education Reliability (statistics) |
Zdroj: | TEEM |
DOI: | 10.1145/3012430.3012512 |
Popis: | A large number of educational resources are stored on the Internet, several of which are of poor quality, because they could be not assessment with an appropriate instrument or another strategy. An instrument is considered adequate, among others criteria, when it is submitted a psychometric test, which allows assessing its validity and reliability. This research presents the results of the analysis for an Evaluation Tool of Reusable Learning Objects (Herramienta de Evaluacion de Objetos Didacticos de Aprendizaje Reutilizables, HEODAR). The tests show an elevated reliability in the elements of each category of the questionnaire. The results of the factor analysis indicate that there is sufficient evidence to opt for a one-dimensional factor solution type for the scales. Items with low weights are not relevant, so they could be excluded, restructured or integrated into a new factor. |
Databáze: | OpenAIRE |
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