Assessing compulsive sexual behavior disorder: The development and international validation of the compulsive sexual behavior disorder-diagnostic inventory (CSBD-DI)
Why this work is in the frame
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Bibliographic record
Abstract
Background and aims: The World Health Organization's International Classification of Diseases (ICD-11) includes Compulsive Sexual Behavior Disorder (CSBD), a new diagnosis that is both controversial and groundbreaking, as it is the first diagnosis to codify a disorder related to excessive, compulsive, and out-of-control sexual behavior. The inclusion of this novel diagnosis demonstrates a clear need for valid assessments of this disorder that may be quickly administered in both clinical and research settings. Design: The present work details the development of the Compulsive Sexual Behavior Disorder Diagnostic Inventory (CSBD-DI) across seven samples, four languages, and five countries. Setting: In the first study, data were collected in community samples drawn from Malaysia (N = 375), the U.S. (N = 877), Hungary (N = 7,279), and Germany (N = 449). In the second study, data were collected from nationally representative samples in the U.S. (N = 1,601), Poland (N = 1,036), and Hungary (N = 473). Findings: Across both studies and all samples, results revealed strong psychometric qualities for the 7-item CSBD-DI, demonstrating evidence of validity via correlations with key behavioral indicators and longer measures of compulsive sexual behavior. Analyses from nationally representative samples revealed residual metric invariance across languages, scalar invariance across gender, strong evidence of validity, and utility in classifying individuals who self-identified as having problematic and excessive sexual behavior, as evidenced by ROC analyses revealing suitable cutoffs for a screening instrument. Conclusion: Collectively, these findings demonstrate the cross-cultural utility of the CSBD-DI as a novel measure for CSBD and provide a brief, easily administrable instrument for screening for this novel disorder.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it