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Record W3130208832 · doi:10.2196/21306

Interpersonal Perception of Time-Use Patterns in Romantic Relationships: Protocol for the IP-COUPLES Study

2021· article· en· W3130208832 on OpenAlexafffundvenue
Romain Bertrand, Brenda Vrkljan, Nicolas Kühne, Linda Charvoz, Nicolas Vuillerme

Bibliographic record

VenueJMIR Research Protocols · 2021
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsMcMaster University
FundersHaute école Spécialisée de Suisse OccidentaleUniversité Grenoble AlpesMcMaster University
KeywordsSnowball samplingPsychologyCongruence (geometry)PerceptionDyadObservational studyInterpersonal communicationSocial psychologyInterpersonal relationshipDevelopmental psychologyStatisticsMathematics

Abstract

fetched live from OpenAlex

BACKGROUND: Perceptual congruence has been defined as the level of agreement between partners on various aspects of their shared lives, including perceived engagement in individual and jointly performed activities. While the level of adjustment made by partners to such activities is thought to contribute to a couple's sense of mutuality, perceptions of time use concerning activity engagement has yet to be considered. As such, this study will determine the level of perceptual congruence between partners with respect to perceived time use in their respective and shared activities. OBJECTIVE: The primary objective of the IP-COUPLES study is to determine the similarities and differences between partners in terms of their perceptual congruence with respect to independent and jointly performed activities. This study will also examine the association between independent and joint activities in terms of perceptual congruence of time use and the strength of this association. METHODS: This descriptive observational study includes 100 couples from Western Switzerland who are recruited using snowball sampling methods. The Life Balance Inventory (LBI), a self-report questionnaire that captures activity configuration congruence, will measure independent and joint perceptions of both time use allocated to daily activities and corresponding satisfaction. Due to COVID-19, the protocol can be administered virtually by the primary investigator. The mean scores of perceptual congruence variables will be used for analysis, namely perceived congruence of time use in terms of independent and jointly performed activities. For the first objective, an independent t test will be used for each variable to compare the mean score between activities on the LBI. For the second objective, the correlations between the mean scores for these activities will be calculated for each variable using the Pearson correlation. RESULTS: The IP-COUPLES study protocol was developed in 2019 and 2020. Enrollment began in June 2020. Data collection will continue until October 2021 to account for time needed for recruitment due to the COVID-19 pandemic crisis. Analysis and presentation of results are expected in 2022. CONCLUSIONS: This study is exploratory, as it is the first to our knowledge to investigate how perceived time-use patterns with respect to independent or jointly performed activities are similar or different among romantic couples. By investigating the interpersonal perception of time-use patterns among couples, the IP-COUPLES study is an important first step to understanding how romantic partners' daily activities are contributing to the level of satisfaction as a partner and as a couple and to the sense of mutuality between partners in a romantic relationship. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/21306.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.022
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.052
Threshold uncertainty score0.173

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.019
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0030.003
Science and technology studies0.0040.002
Scholarly communication0.0020.002
Open science0.0030.002
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0520.015

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 head0.427
GPT teacher head0.633
Teacher spread0.206 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreProtocol

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

Citations0
Published2021
Admission routes3
Has abstractyes

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