Developing a Teacher Administered Anxiety Rating Scale Suitable for Five to Seven-Year-Old Children
Bibliographic record
Abstract
This paper presents results of twin studies pertinent to the development of a rating scale designed for use by teachers to identify anxious and shy children, aged 5 to 7 years, in Kindergarten and Grade One. Currently, no instruments designed specifically for this purpose exist. Children experiencing difficulty with internalizing disorders such as anxiety, shyness, and behavioural inhibition represent a growing segment of the population (Merrell,2001). Evidence indicates the educational, psychological, and emotional needs of these children are not being addressed (Barlow,2002). Kindergarten and Grade One teachers were interviewed to find out if they recognized behaviours drawn from the literature on childhood anxiety disorders as shyness and anxiety. Information obtained was used to formulate, construct, and evaluate a rating scale to be administered by teachers. The paper includes an overview, literature review of the research on anxiety in young children, description of methods used to obtain salient information and a discussion regarding construction of the rating scale. Data for the two studies was obtained by both quantitative and qualitative methods. The first study employed semi-structured interviews with teachers and their completion of a prototype rating scale. The second study consisted of the administration of the scale and comparisons of its psychometric properties to other instruments. The paper concludes with a discussion of the results and limitations of the studies.
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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 | 0.007 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".