Predicting Adolescent Creativity from Openness to Experience and Intrinsic Motivation
Bibliographic record
Abstract
Objective: This study aimed to investigate the predictive roles of openness to experience and intrinsic motivation in adolescent creativity. Methods and Materials: A correlational descriptive research design was employed, involving a sample of 380 high school students from Canada. Participants were selected using the Morgan and Krejcie sample size table through convenience sampling. Standardized instruments were used to assess the variables: the Torrance Tests of Creative Thinking (TTCT) for creativity, the Openness scale from the Big Five Inventory (BFI) for openness to experience, and the Intrinsic Motivation Inventory (IMI) for intrinsic motivation. Data analysis was performed using SPSS version 27. Pearson correlation coefficients were calculated to determine the strength and direction of the relationships between creativity and each predictor variable. A multiple linear regression analysis was then conducted to examine the combined predictive power of openness to experience and intrinsic motivation on creativity. Findings: Descriptive statistics revealed moderately high levels of creativity (M = 112.47, SD = 13.62), openness to experience (M = 36.28, SD = 4.81), and intrinsic motivation (M = 121.65, SD = 11.49). Pearson correlation analysis showed that creativity was significantly correlated with both openness to experience (r = .52, p < .01) and intrinsic motivation (r = .47, p < .01). Multiple linear regression analysis indicated that both predictors significantly contributed to creativity (R = .58, R² = .34, F(2, 377) = 72.96, p < .001), with openness to experience (β = .39, p < .001) and intrinsic motivation (β = .31, p < .001) emerging as significant predictors. Conclusion: The findings highlight that both openness to experience and intrinsic motivation play meaningful and complementary roles in predicting adolescent creativity. These results suggest that fostering openness and nurturing intrinsic motivation may be effective strategies for enhancing creative potential in educational settings.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".