Development of a Family Dynamic Environment Scale for Korean Adolescents
Bibliographic record
Abstract
The objective of this study was to develop a short and reliable Family Dynamic Environment Scale (FDES) that would better serve the needs of mental health professionals in detecting the potential for delinquent behavior in Korean adolescents related to a dysfunctional family dynamic environment. Semi-structured interviews with 30 adolescents were initially conducted to generate a set of items, after which, 44 participants were included in method test-retest reliability test. Finally, 544 participants recruited by proportional stratified random sampling were included in a factor analysis. The original version of the FDES had 60 items in 7 categories; the final version included 42 items grouped into 5 factors. Both test-retest reliability and Cronbach's alpha coefficient were high for the final version of the scale. As a result of factor analysis, five factors were extracted: family psychological climate, parent-child relationship, paternal parenting attitude, family cohesion, and maternal parenting attitude. These contributed 50.3% of the variance in the item scores. All 42 items loaded above .35 on their respective factors. The Cronbach's alpha coefficients for internal consistency were .95 for the total 42 items and .92, .81, .82, .78, and .71, respectively, for each of the 5 factors.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".