Estudo fatorial confirmatório e da consistência interna do inventário do treino técnico-desportivo do tenista (ITTT-12)
Bibliographic record
Abstract
O objetivo deste estudo é testar o modelo bidimensional - Golpes de Preparação (GP) e Golpes de Definição (GD) - avaliado pelo Inventário do Treino Técnico-desportivo do Tenista (ITTT-12), através dos princípios métricos da análise fatorial confirmatória e da consistência interna. Para tanto, foi utilizado uma amostra de 432 jovens tenistas brasileiros, de ambos os sexos e com idades variando de 13 a 16 anos. Os resultados das análises fatoriais confirmatórias (GFI = 0,882; AGFI = 0,865; X²/gl = 1,44; RMS = 0,061) permitiram concluir que o modelo testado confirmou a existência de duas dimensões (GP e GD). Os resultados do estudo da consistência interna, pelo viés do cálculo Alpha de Cronbach (0,81 para ambas as dimensões), asseguraram a precisão do modelo testado. Novos estudos devem verificar outras propriedades métricas deste instrumento (validade preditiva e fidedignidade teste-reteste, entre outras), bem como testar a evolução do treino técnico-desportivo de tenistas.
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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 | 0.027 | 0.053 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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".