Factor Structure and Psychometric Properties of a Brief Measure of Dysfunctional Individuation
Bibliographic record
Abstract
Individuation is widely considered a fundamental developmental task of adolescence. It is a process through which the adolescent seeks to define new boundaries between his or her self and others, and the failure to do so has been shown to have serious consequences. Given its importance for understanding developmental transitions, it is surprising that there are few assessments of dysfunctional individuation. Over three studies, we provide evidence of a promising new measure of this important construct: the 10-item Dysfunctional Individuation Scale (DIS). Using confirmatory factor analysis and item response theory, we demonstrate that the DIS possesses a strong one-factor structure and excellent psychometric properties. Furthermore, we document the convergent, discriminant, and concurrent validity of the DIS through its relationships with indices of individuation, adjustment, and clinically relevant symptoms. Finally, we examine the incremental validity of the DIS over neuroticism as a predictor of depression (Beck Depression Inventory-II).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 teacher head, 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".