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Record W2979200057 · doi:10.1111/ijsa.12263

Does interview anxiety predict job performance and does it influence the predictive validity of interviews?

2019· article· en· W2979200057 on OpenAlexafffund
Leann Schneider, Deborah M. Powell, Silvia Bonaccio

Bibliographic record

VenueInternational Journal of Selection and Assessment · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEmployer Branding and e-HRM
Canadian institutionsUniversity of OttawaUniversity of GuelphUniversity of Waterloo
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPsychologyJob performanceModerationSupervisorJob interviewAnxietyApplied psychologyJob satisfactionSocial psychologyClinical psychologyManagementPsychiatry

Abstract

fetched live from OpenAlex

Abstract Interview anxiety is negatively related to interview performance; however, its relation to job performance is unknown. It could correlate negatively with job performance, and it could moderate the interview performance–job performance relation. In a sample of applicants for Residence Assistant positions, interview anxiety had near‐zero correlations with job performance, rated by supervisors and supervisees. It moderated the relation between interview performance and supervisor‐rated facilitating peer and team performance, such that interview performance did not predict this job performance component for anxious applicants. The moderation was not found for supervisor‐rated task proficiency, or for supervisee ratings of either job performance component, suggesting that the impact of interview anxiety depends on rater source and which job performance component is rated.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score0.212

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.020
GPT teacher head0.285
Teacher spread0.266 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations25
Published2019
Admission routes2
Has abstractyes

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