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Sameh Said-Metwaly; Belén Fernández-Castilla; Wim Van den Noortgate – Journal of Creative Behavior, 2025
Interest in understanding creativity through Programme for International Student Assessment (PISA) data is on the rise, yet researchers face methodological challenges in synthesizing findings across various constructs, measures, and datasets. Meta-analysis--a valuable methodology for synthesizing quantitative data--remains underutilized in…
Descriptors: Achievement Tests, Foreign Countries, International Assessment, Secondary School Students
Grajzel, Katalin; Dumas, Denis; Acar, Selcuk – Journal of Creative Behavior, 2022
One of the best-known and most frequently used measures of creative idea generation is the Torrance Test of Creative Thinking (TTCT). The TTCT Verbal, assessing verbal ideation, contains two forms created to be used interchangeably by researchers and practitioners. However, the parallel forms reliability of the two versions of the TTCT Verbal has…
Descriptors: Test Reliability, Creative Thinking, Creativity Tests, Verbal Ability
Fürst, Guillaume – Journal of Creative Behavior, 2020
This paper introduces a method for the assessment of creativity that relies on creativity tasks, a subjective evaluation procedure, and a planned missing data design that offers a drastic reduction in the overall implementation costs (administration time and scoring procedure). This method was tested on a sample of 149 people, using three…
Descriptors: Creativity, Creativity Tests, Task Analysis, Creative Thinking
Shin, Namin; Jang, Yeon-Ju – Journal of Creative Behavior, 2017
The development of group creativity can be challenging for both young students and their teachers. This study examined the processes and learning outcomes of group creativity training from the perspectives of elementary school students and teachers while identifying critical factors that contributed to the success of the training. Data were…
Descriptors: Creative Development, Creativity, Elementary School Students, Foreign Countries
Ranjan, Apara; Srinivasan, Narayanan – Journal of Creative Behavior, 2010
Theories of categorization need to account for ways in which people use their creativity to categorize things, especially in the context of similarity. The current three-phase study is a preliminary attempt to understand how people group concepts together as well as to explore the role of similarity between concepts in creative categorization.…
Descriptors: Creativity, Classification, Imagination, Semantics
Peer reviewedRichards, Ruth L. – Journal of Creative Behavior, 1976
Guilford's (1967) divergent production tests and Wallach and Kogan's (1965) associative creative thinking tests are designed to measure abilities central to the creative process. However, results with these two batteries have been used to support alternative conceptions of creative ability. This research makes a beginning at studying these tests…
Descriptors: Creative Thinking, Creativity, Data Analysis, Divergent Thinking
Peer reviewedKhatena, Joe – Journal of Creative Behavior, 1972
In these data and on the kinds of analogies produced by a group of highly original men and women, the simple image/direct analogy stands out as the significant thinking operation used to make the familiar strange. These subjects apparently have not found the need to use personal, symbolic, or fantasy analogy. (Author)
Descriptors: Creative Expression, Creative Thinking, Creativity, Creativity Research
Peer reviewedParnes, Sidney J.; Noller, Ruth B. – Journal of Creative Behavior, 1972
Statistical findings based on some 200 research measurements made over a two-year period on students in a four semester program in Creative Studies at Buffalo State University College. (CB)
Descriptors: Academic Achievement, Creative Development, Creativity, Creativity Research
Peer reviewedPlucker, Jonathan A. – Journal of Creative Behavior, 1999
A reanalysis of data from three previously published studies on whether creativity is content general or content specific suggest that, contrary to the results of recent research, a content-general factor may explain 40-50% of the variance in creativity checklist scores. Results are analyzed in light of other studies. (Author/CR)
Descriptors: Ability Identification, Check Lists, Cognitive Ability, Cognitive Processes

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