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Record W2010138402 · doi:10.1177/0748175611429303

Assessment of Romantic Perfectionism

2012· article· en· W2010138402 on OpenAlexaffabout
Melody Matte, Marie‐France Lafontaine

Bibliographic record

VenueMeasurement and Evaluation in Counseling and Development · 2012
Typearticle
Languageen
FieldPsychology
TopicPerfectionism, Procrastination, Anxiety Studies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPerfectionism (psychology)PsychologyRomanceSocial psychologyDiscriminant validityScale (ratio)Convergent validityConcurrent validityDisappointmentClinical psychologyPsychometricsPsychoanalysis

Abstract

fetched live from OpenAlex

AbstractThe objective of the present study was to provide validity evidence for the scores from the Romantic Relationship Perfectionism Scale. Results indicate a two-factor structure, adequate reliability, and overall good convergent, concurrent, discriminant, and incremental validity evidence. The strengths and limitations of this measure are discussed.Keywordsromantic perfectionismfactor structurereliabilitytest validity NotesThis article is dedicated to the memory of beloved colleague Melody Matte, who sadly passed away during its preparation.The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/orPUBLICation of this article.The author(s) disclosed receipt of the following financial support for the research, authorship, and/orPUBLICation of this article: Funding for this study was provided by the Social Sciences and Humanities Research Council of Canada.1. The two-factor solution with four subfactors included Self-Oriented Romantic Perfectionism (Concern with proper behavior—Items 1, 4, and 9; and Concern with mistakes—Items 6, 7, 11, and 12) and Other-Oriented Romantic Perfectionism (Disappointment of partner’s behavior—Items 2, 3, 5, and 8; and Expectations toward partner—Items 10, 13, and 14). The four-factor solution included the four subfactors described above and their respective items. For both the four-factor model and the two-factor model with four subfactors, Items 5 and 8 were correlated as they shared content and this correlation improved the model fit.Additional informationNotes on contributorsMelody MatteMelody Matte was a PhD candidate in the field of Clinical Psychology at the University of Ottawa, Canada. Her research interests included romantic attachment, romantic perfectionism, dyadic adjustment, and intimate violence.Marie-France LafontaineMarie-France Lafontaine, PhD, is associate professor at the School of Psychology, University of Ottawa, Canada, and is Director of the Couple Research Laboratory. Her research interests include couple functioning, romantic attachment, intimate violence, self-injury, heterosexual and homosexual romantic relationships, and physical health.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.064
Threshold uncertainty score0.459

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 integrity0.0000.000
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 head0.103
GPT teacher head0.367
Teacher spread0.264 · 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

Citations23
Published2012
Admission routes2
Has abstractyes

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