Validity and Reliability of the Turkish Version for DSM-5 Level 2 Anger Scale (Child Form for Children Aged 11-17 Years and Parent Form for Children Aged 6-17 Years)
Bibliographic record
Abstract
INTRODUCTION: This study aimed to assess the validity and reliability of the Turkish version of Diagnostic and Statistical Manual of Mental Disorders (DSM-5) Level 2 Anger Scale. METHODS: The scale was prepared by translation and back translation of DSM-5 Level 2 Anger Scale. Study groups consisted of a clinical sample of cases diagnosed with depressive disorder and treated in a child and adolescent psychiatry unit and a community sample. The study was continued with 218 children and 160 parents. In the assessment process, child and parent forms of DSM-5 Level 2 Anger Scale and Children's Depression Inventory and Strengths and Difficulties Questionnaire-Parent Form were used. RESULTS: In the reliability analyses, the Cronbach alpha internal consistency coefficient values were found very high regarding child and parent forms. Item-total score correlation coefficients were high and very high, respectively, for child and parent forms indicating a statistical significance. As for construct validity, one factor was maintained for each form and was found to be consistent with the original form of the scale. As for concurrent validity, the child form of the scale showed significant correlation with Children's Depression Inventory, while the parent form showed significant correlation with Strengths and Difficulties Questionnaire-Parent Form. CONCLUSION: It was found that the Turkish version of DSM-5 Level 2 Anger Scale could be utilized as a valid and reliable tool both in clinical practice and for research purposes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".