Developing a measure of sluggish cognitive tempo for children: Content validity, factor structure, and reliability.
Bibliographic record
Abstract
Sluggish cognitive tempo (SCT) is a construct that some researchers believe may be extremely useful in understanding the inattentive subtype of attention-deficit/hyperactivity disorder, and may even help define a completely new disorder. However, the construct of SCT is as yet inadequately operationally or theoretically defined. The authors took the first steps toward developing an empirically supported measure of SCT in children. In Study 1, potential items to measure SCT were identified from a literature review, content validity of the items was evaluated by a group of experts, and a preliminary set of SCT items were selected. In Study 2, ratings completed by parents and teachers of 335 children (ages 4-13) were used to further develop and evaluate the SCT items by computing factor analyses, item-level analyses, reliability analyses, and preliminary validity analyses. The final SCT scale (14 items) produced a total scale score and 3 subscale scores: Slow, Sleepy, and Daydreamer. These scales were constructed with good content validity and were found to have strong reliability. Future directions include replication, extension into a clinical population, and further examination of validity.
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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 | 0.006 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".