Evidence map›Paper›PMID 38796516›Full record

ArticleBMC psychology2024

The sense of coherence scale: psychometric properties in a representative sample of the Czech adult population.

Martin Tušl, Ivana Šípová, Martin Máčel, Kristýna Cetkovská, Georg F Bauer

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Article in BMC psychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Martin TušlDivision of Public and Organizational Health, Center of Salutogenesis, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Hirschengraben 84, Zurich, 8001, Switzerland. martin.tusl@uzh.ch.
Ivana ŠípováDepartment of Psychology, Faculty of Arts, Charles University, Prague, Czech Republic.
Martin MáčelDepartment of Psychology, Faculty of Arts, Charles University, Prague, Czech Republic.
Kristýna CetkovskáDepartment of Psychology, Faculty of Arts, Charles University, Prague, Czech Republic.
Georg F BauerDivision of Public and Organizational Health, Center of Salutogenesis, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Hirschengraben 84, Zurich, 8001, Switzerland.

Funding

H2020 Marie Skłodowska-Curie Actions 801076
6 · The paper itself

Abstract

backgroundSense of coherence (SOC) is a personal resource that reflects the extent to which one perceives the world as comprehensible, manageable, and meaningful. Decades of empirical research consistently show that SOC is an important protective resource for health and well-being. Despite the extensive use of the 13-item measure of SOC, there remains uncertainty regarding its factorial structure. Additionally, a valid and reliable Czech version of the scale is lacking. Therefore, the present study aims to examine the psychometric properties of the SOC-13 scale in a representative sample of Czech adults.

methodsAn online survey was completed by 498 Czech adults (18-86 years old) between November 2021 and December 2021. We used confirmatory factor analysis to examine the factorial structure of the scale. Further, we examined the variations in SOC based on age and gender, and we tested the criterion validity of the scale using the short form of the Mental Health Continuum (MHC) scale and the Generalized Anxiety Disorder (GAD) scale as mental health outcomes.

resultsSOC-13 showed an acceptable one- and three-factor fit only with specified residual covariance between items 2 and 3. We tested alternative short versions by systematically removing poorly performing items. The fit significantly improved for all shorter versions with SOC-9 having the best psychometric properties with a clear one-factorialstructure. We found that SOC increases with age and males score higher than females. SOC showed a moderately strong positive correlation with MHC, and a moderately strong negative correlation with GAD. These findings were similar for all tested versions supporting the criterion validity of the SOC scale.

conclusionOur findings suggest that shortened versions of the SOC-13 scale have better psychometric properties than the original 13-item version in the Czech adult population. Particularly, SOC-9 emerges as a viable alternative, showing comparable reliability and validity as the 13-item version and a clear one-factorial structure in our sample.

Indexed as

PsychometricsSense of CoherenceAdolescentAdultAgedAged, 80 and overCzech RepublicFactor Analysis, StatisticalFemaleHumansMaleMiddle AgedReproducibility of ResultsSurveys and QuestionnairesYoung AdultConfirmatory factor analysisCzech adult populationMental healthPsychometricsSalutogenesisSense of coherence

Identifiers

PMID38796516
PMCPMC11128106

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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.