Measuring Adolescent Attitudes Toward Classroom Incivility
Bibliographic record
Abstract
The purpose of this study was to develop a scale that measures adolescents’ attitudes toward classroom incivility and determine whether items would reveal subscales. A sample of 549 adolescents between ages 11 and 18 (53.1% boys; M age = 13.90, SD = 1.41) completed items written to measure attitudes toward classroom incivility. An exploratory factor analysis (EFA) was used on one half of the randomly split sample and a confirmatory factor analysis (CFA) on the remainder. Results from both analyses suggested that two factors representing unintentional and intentional incivility might be the best factor solution. In addition, evidence for concurrent validity was found in correlations with four additional scales. Results suggest that attitudes toward classroom incivility are heterogeneous and that adolescence may be an important developmental period to address this construct. Future studies should continue psychometrically developing this scale and exploring this measure with additional antisocial beliefs and behaviors.
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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 | 0.001 | 0.005 |
| 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 | 0.000 |
| 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".