Two Therapeutic Approaches to Creativity Motivation of Management Trainees: An Experiment in Nigeria
Bibliographic record
Abstract
The purpose of the study is to investigate the effect of problem solving and cognitive restructuring approaches in improving the creativity motivation of management trainees through enhancing their individual creative behaviour. A 3 x 2 factorial design was adopted in this study. The sample of study consisted of 102 subjects randomly drawn from a stratum of management trainees undergoing Masters Program in Business Administration in three Universities in Ibadan, Nigeria. Three validated instruments were used for data collection before and after therapy. Analysis of covariance and t – test statistics were used to test the generated hypotheses at 0.05 level of significance. The results obtained showed that both the creative problem-solving and cognitive restructuring techniques were effective in improving management trainees’ creative behaviour and consequently raising their level of creativity motivation. However, creative problem-solving technique was found to be significantly more effective than cognitive restructuring technique in raising subjects’ creativity motivation. The findings also indicated that the intervention strategies were effective in raising the creativity motivation of both Type A and Type B personality subjects. However, while problem-solving technique was more effective for Type B personality subjects, cognitive restructuring technique was found to have more effect in raising the level of creativity motivation of Type A subjects. Based on the outcome of the study, managers and researchers wishing to foster motivation for creativity in the organizations can do so, not only by paying attention to work environments that enhance creativity motivation, but also by trying to improve the creative behaviour of individuals at work using these or similar intervention measures.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".