Factor Structure of Play Creativity: A New Instrument to Assess Movement Creativity
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Few assessment tools have been designed to assess motor creativity, and the existing tools have limitations. To bridge this gap, the current study aimed at designing a new movement creativity assessment tool that considers the unique features underlying the expression of creativity through movement. A modified Delphi technique was used to collect experts’ perspective and derive tasks suitable for evaluation of the main features underlying movement creativity. From these expert ‘consultations, 11 tasks measuring up to 6 movement creativity variables (i.e., fluency, originality, imagination, elaboration, appropriateness, flow) were included in the initial PLAY Creativity measurement model. The COnsensus-based Standards for the selection of health status Measurement INstruments (COSMIN checklist) were followed to ensure methodological quality. Overall, 367 children from grade 4 to 6 participated in this study. Results indicated strong test-retest, inter, and intra observer reliability. Confirmatory factor analysis revealed an inadequate fit of the hypothesized model leading to some modifications. After combining originality and imagination, and excluding elaboration, the final measurement model provided an adequate fit. PLAY creativity, in its final form, has adequate validity and can be considered a reliable instrument to assess movement creativity in children. This study thus provides a useful tool to assess and promote movement creativity.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it