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Simon, Tünde; Biró, Ildikó; Kárpáti, Andrea – Journal of Intelligence, 2022
In this paper, we describe subskills of visual communication based on the skill structure outlined in the Common European Framework of Visual Literacy. We have developed this Framework further through assessing the development of subskills related to visual communication in the "produce" and "respond" domains of CEFR-VC in…
Descriptors: Visual Literacy, Communication Skills, Skill Development, Elementary School Students
Koch, Marco; Spinath, Frank M.; Greiff, Samuel; Becker, Nicolas – Journal of Intelligence, 2022
Figural matrices tasks are one of the most prominent item formats used in intelligence tests, and their relevance for the assessment of cognitive abilities is unquestionable. However, despite endeavors of the open science movement to make scientific research accessible on all levels, there is a lack of royalty-free figural matrices tests. The Open…
Descriptors: Intelligence, Intelligence Tests, Computer Assisted Testing, Test Items
Goecke, Benjamin; Schmitz, Florian; Wilhelm, Oliver – Journal of Intelligence, 2021
Performance in elementary cognitive tasks is moderately correlated with fluid intelligence and working memory capacity. These correlations are higher for more complex tasks, presumably due to increased demands on working memory capacity. In accordance with the binding hypothesis, which states that working memory capacity reflects the limit of a…
Descriptors: Intelligence, Cognitive Processes, Short Term Memory, Reaction Time
Varga, Szilvia; Pásztor, Attila; Stekács, János – Journal of Intelligence, 2022
The aims of the study are to construct an online instrument to assess different aspects of morphological awareness and to examine its development and its relation to reading comprehension in grades 2-4 in Hungarian children. Altogether, 4134 students were tested. The online test evaluated inflectional, derivational, and compound morphological…
Descriptors: Morphology (Languages), Test Construction, Computer Assisted Testing, Metalinguistics
Storme, Martin; Myszkowski, Nils; Baron, Simon; Bernard, David – Journal of Intelligence, 2019
Assessing job applicants' general mental ability online poses psychometric challenges due to the necessity of having brief but accurate tests. Recent research (Myszkowski & Storme, 2018) suggests that recovering distractor information through Nested Logit Models (NLM; Suh & Bolt, 2010) increases the reliability of ability estimates in…
Descriptors: Intelligence Tests, Item Response Theory, Comparative Analysis, Test Reliability