Measuring Job Interview Anxiety: Beyond Weak Knees and Sweaty Palms
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
A multidimensional measure of interview anxiety, called the Measure of Anxiety in Selection Interviews (MASI), was developed using a student sample ( N = 212) and tested using a sample of job applicants in a field setting ( N = 276) . The MASI goes beyond the measurement of “weak knees” and “sweaty palms” by providing an assessment of 5 interview anxiety dimensions: Communication, Appearance, Social, Performance, and Behavioral. The psychometric properties of the scales were strong and confirmatory factor analyses supported the a priori structure. In addition, substantial evidence for the concurrent, discriminant, criterion‐related, and incremental validity of the MASI was obtained. Moreover, a multiple correlation of .34 was found for the 5 MASI scales in the prediction of interview performance. The development of the MASI has important implications for the field, as it may provide the foundation for future research on job interview anxiety, guide interview anxiety treatment programs, and promote the enhancement of job interview validity.
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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 | 0.000 | 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) | 0.000 | 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 it