The Interpersonal Transaction Scales–8 (ITS-8): A Circumplex-Based, Behaviorally Anchored Instrument Based on the CLOIT-R
Bibliographic record
Abstract
Using the Checklist of Interpersonal Transactions-Revised (CLOIT-R; Kiesler, 2004) as a basis, a new behaviorally anchored instrument was developed with a graded-response scale, simplified item wording, substantially fewer items, and improved consistency with the interpersonal circumplex. In a community sample (Study 1), the graded response format with simplified items showed improved octant-scale reliabilities, as well as circular structure and convergent validity comparable to the CLOIT-R. Items that performed consistently across community and undergraduate samples (Study 2) were then selected to produce an inventory with half as many items as the CLOIT-R, but with good octant-scale reliabilities and excellent circular structure. Finally, in a therapy context (Study 3), the new inventory showed excellent reliability and validity for ratings of both clients and therapists. This 48-item inventory, the Interpersonal Transaction Scales-8 (ITS-8), may be used for both self- and other-ratings in everyday interactions, as well as for observer ratings of therapeutic interactions.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".