Candidates' integration of individual psychological assessment feedback
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose – The purpose of this paper is to empirically verify a theoretical model of candidates' feedback integration in the context of individual psychological assessment (IPA). Design/methodology/approach – Structural equation modeling analyses were conducted in a two-wave longitudinal study. A total of 97 candidates completed questionnaires immediately after their feedback session as well as three months later. Findings – Results indicate that candidates' motivational intention to act on IPA feedback is a pivotal variable linking feedback perceptions and post-feedback behaviors. Source credibility, assessment face validity, as well as perception that the feedback helped increase candidate's awareness were related to motivational intention. Conversely, feedback acceptance was not related to candidates' motivation to act on feedback and post-feedback behaviors. Research limitations/implications – Because the authors relied on self-report questionnaires, future studies would benefit from including externally assessed behavioral outcomes. Future research efforts should continue distinguishing candidates' acceptance and awareness based on their distinctive contributions in the feedback integration process. Practical implications – The results indicate that motivation created during the feedback session is a stronger predictor of day-to-day behavioral changes than it is of involvement in specific developmental activities. Originality/value – This research fills a gap in IPA literature by highlighting some IPA benefits and the processes involved in increasing feedback value for the participant.
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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 | 0.020 | 0.032 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it