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Catarina Vales; Zach Branson; Anna V. Fisher – Infant and Child Development, 2025
Cognitive tasks are seldom evaluated on their ability to provide valid and reliable measurements of the construct they intend to measure. This scarcity of psychometric evaluations makes it challenging to evaluate replications of experimental effects and to relate performance in cognitive tasks to other constructs of interest. In developmental…
Descriptors: Child Development, Psychometrics, Semantics, Preschool Children
Pichot, Nicolas; Bonetto, Eric; Pavani, Jean-Baptiste; Arciszewski, Thomas; Bonnardel, Nathalie; Weisberg, Robert W. – Creativity Research Journal, 2022
In scientific research on creativity, there has been considerable debate concerning the criteria by which a production can be judged more or less creative, that is, about the definition of "creativity." The most frequent definition -- the "standard" definition -- incorporates the criteria of "novelty" and…
Descriptors: Creativity, Novelty (Stimulus Dimension), Definitions, Construct Validity
Frank Goldhammer; Ulf Kroehne; Carolin Hahnel; Johannes Naumann; Paul De Boeck – Journal of Educational Measurement, 2024
The efficiency of cognitive component skills is typically assessed with speeded performance tests. Interpreting only effective ability or effective speed as efficiency may be challenging because of the within-person dependency between both variables (speed-ability tradeoff, SAT). The present study measures efficiency as effective ability…
Descriptors: Timed Tests, Efficiency, Scores, Test Interpretation
Bortoli, Laura; Ruiz, Montse C.; Robazza, Claudio – Measurement in Physical Education and Exercise Science, 2023
The objective of this study was to develop and validate the Psychobiosocial Experience Semantic Differential in Physical Education (PESD-PE) scale, a new holistic measure of discrete emotion-related feelings (i.e., psychobiosocial experiences) as conceived within the individual zones of optimal functioning (IZOF) framework. A preliminary version…
Descriptors: Physical Education, Semantic Differential, Test Construction, Test Validity
Beisemann, Marie; Forthmann, Boris; Bürkner, Paul-Christian; Holling, Heinz – Journal of Creative Behavior, 2020
The Remote Associates Test (RAT; Mednick, 1962; Mednick & Mednick, 1967) is a commonly employed test of creative convergent thinking. The RAT is scored with a dichotomous scoring, scoring correct answers as 1 and all other answers as 0. Based on recent research into the information processing underlying RAT performance, we argued that the…
Descriptors: Psychometrics, Scoring, Tests, Semantics
Kanj, Rama; El-Hassan, Karma – International Journal of Multilingualism, 2023
Vocabulary tests administered on multilingual populations should take into account the unique linguistic and cultural makeup of the population by adopting test development methods that allow responses in several languages. Our aims were to develop a picture-naming test for multilingual Lebanese school-age children (L1: Lebanese, L2: French and/or…
Descriptors: Vocabulary Development, Language Tests, Expressive Language, Multilingualism
Gawda, Barbara – Journal of Psycholinguistic Research, 2019
Love has been thoroughly studied and a variety of definitions as well as types of love have been described in the literature. Given the data presenting natural language of love concept, the aim of the two present studies is to demonstrate a new technique which enables description of the structure of emotion concepts within love spectrum. This…
Descriptors: Intimacy, Psychological Patterns, Verbal Ability, Measures (Individuals)
Yunjiu, Luo; Wei, Wei; Zheng, Ying – SAGE Open, 2022
Artificial intelligence (AI) technologies have the potential to reduce the workload for the second language (L2) teachers and test developers. We propose two AI distractor-generating methods for creating Chinese vocabulary items: semantic similarity and visual similarity. Semantic similarity refers to antonyms and synonyms, while visual similarity…
Descriptors: Chinese, Vocabulary Development, Artificial Intelligence, Undergraduate Students

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