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Record W4294129671 · doi:10.1037/pas0001168

An evaluation of the construct validity of the Adult Rejection Sensitivity Questionnaire.

2022· article· en· W4294129671 on OpenAlexaff
Kayla A. Lord, Gabrielle I. Liverant, Jeremy G. Stewart, Sarah A. Hayes‐Skelton, Michael K. Suvak

Bibliographic record

VenuePsychological Assessment · 2022
Typearticle
Languageen
FieldPsychology
TopicMental Health Research Topics
Canadian institutionsQueen's University
Fundersnot available
KeywordsPsychologyNeuroticismPsychosocialExpectancy theoryExtraversion and introversionClinical psychologyAnxietyDistressAnhedoniaPsycINFOConvergent validityHostilityInterpersonal communicationPsychoticismPsychometricsBig Five personality traitsPersonalityPsychiatryMEDLINESchizophrenia (object-oriented programming)Social psychology

Abstract

fetched live from OpenAlex

= 540; 43.7% female, 80.2% White; 16.7% Hispanic/Latinx), we examined the factor structure of the A-RSQ in samples of adult U.S. residents and investigated associations with mental health correlates, including neuroticism, social anxiety, anxiety, depression, anhedonia, somatic arousal, and psychological distress. Study 2 also evaluated relations with interpersonal correlates, including introversion, submissiveness, and anxious and avoidant attachment. A two-factor solution with rejection expectancy and rejection concern representing separate factors consistently fit the data best. Distinct patterns of associations emerged suggesting that concern was more strongly associated with indicators of negative affect while expectancy was uniquely associated with diminished positive affect. Both concern and expectancy were associated with indicators of interpersonal dysfunction. Findings suggest that the current operationalization, and perhaps conceptualization, of RS as measured by the A-RSQ requires revision. Additionally, RS may be a clinically relevant transdiagnostic phenotype that influences symptom manifestation and psychosocial functioning. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

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)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.196
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.187
GPT teacher head0.523
Teacher spread0.336 · 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.

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

Citations11
Published2022
Admission routes1
Has abstractyes

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