Evidence map›Paper›PMID 34654329›Full record

ArticleAssessment2023

The Dimensionality of the Brief COPE Before and During the COVID-19 Pandemic.

Barbara Hanfstingl, Timo Gnambs, Christian Fazekas, Katharina Ingrid Gölly, Franziska Matzer, Matias Tikvić

Abstract read
In one paragraph

Article in Assessment, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

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  8. Depression, anxiety and coping mechanisms among mental healthcare practitioners during COVID-19.The South African journal of psychiatry : SAJP : the journal of the Society of Psychiatrists of South Africa · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Barbara HanfstinglUniversity of Klagenfurt, Klagenfurt am Wörthersee, Austria.ORCID 0000-0002-2458-7585
Timo GnambsLeibniz Institute for Educational Trajectories, Bamberg, Germany.
Christian FazekasMedical University of Graz, Austria.
Katharina Ingrid GöllyUniversity of Klagenfurt, Klagenfurt am Wörthersee, Austria.
Franziska MatzerMedical University of Graz, Austria.
Matias TikvićUniversity of Klagenfurt, Klagenfurt am Wörthersee, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Brief COPE (Coping Orientation to Problems Experienced) is a frequently used questionnaire assessing 14 theoretically derived coping mechanisms, but psychometric research has suggested inconsistent results concerning its factor structure. The aim of this study was to investigate primary and secondary order factor structures of the Brief COPE during the COVID-19 pandemic by testing 11 different models by confirmatory factor analyses and to assess differences between sex, age groups, and relationship status. Altogether, 529 respondents from Austria and Germany participated in a web-based survey. Results supported the originally hypothesized 14-factor structure but did not support previously described higher-order structures. However, bass-ackwards analyses suggested systematic overlap between different factors, which might have contributed to different factor solutions in previous research. Measurement invariance across sex, age groups, and relationship status could be confirmed. Findings suggest that cultural and situational aspects as well as the functional level should be considered in research on theoretical framing of coping behavior.

Indexed as

COVID-19PandemicsAdaptation, PsychologicalHumansReproducibility of ResultsSurveys and QuestionnairesBrief COPEconfirmatory factor analysiscopingCOVID-19 pandemicfactor structurehigher-order modelsquestionnaire

Identifiers

PMID34654329
PMCPMC9902999

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.