Structural validity of the Brazilian version of the Sense of Coherence scale (SOC-13) in oral health research: exploratory and confirmatory factor analysis

Celeste, Roger Keller; Scalco, Giovana Pereira da Cunha; Abegg, Claídes; Pattussi, Marcos Pascoal; Ely, Helenita Corrêa; Davoglio, Rosane Silvia; Freire, Maria do Carmo Matias

doi:10.1186/s12903-022-02373-1

Cited by 2 publications

(1 citation statement)

References 34 publications

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“…Saravia and colleagues [12] found that the three-factor solution was a better fit than the one-factor solution in a Peruvian sample. Getnet and colleagues [13] discovered that a one-factor model of the SOC with 12 items had the best fit in a sample of Eritrean refugees in Ethiopia, while Roger and colleagues [14] reported that a one-factor model with nine items had a better statistical fit. Bonachi and colleagues [15] examined the factor structure of the SOC-13 in an Italian sample and found that the one-factor model best fit the data.…”

Section: Introductionmentioning

confidence: 99%

Is Less More? Reevaluating the Psychometric Properties of the Sense of Coherence-13 and a Revised Seven-Item Version in South Africa Using Classical Theory and Item Response Theory

Pretorius,

Padmanabhanunni

2023

Psych

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Studies on the dimensionality and factor structure of the Sense of Coherence-13 (SOC-13) scale have produced inconsistent results, and there is a need for comprehensive psychometric testing of the scale in different populations and using diverse methodologies. SOC refers to the individual’s ability to perceive life as comprehensible, manageable, and meaningful. The current study investigated the dimensionality of the SOC-13 through the use of confirmatory factor analysis (CFA), ancillary bifactor indices and item response theory in a sample of young adults in South Africa. Participants were students (n = 322) who completed the SOC-13, the Connor–Davidson Resilience Scale, the PTSD Checklist for DSM-5 and short forms of the Center for Epidemiological Studies Depression Scale, and the trait scale of the Spielberger State-Trait Anxiety Inventory. CFA indicated the best fit for a one-factor model, but the problematic parameter estimates raise concerns about the construct validity of the scale. Non-parametric item response theory (Mokken scale analysis [MSA]) identified limitations in the original 13-item version, suggesting a more dependable seven-item version (SOC-7). This revised scale exhibited strong psychometric characteristics and was consistent with the theoretical foundations that underpin the construct. We verified the unidimensional structure of the SOC with the more stringent parametric item-response theory (Rasch analysis) which confirmed that the seven-item SOC is unidimensional. Rasch analysis confirmed the measurement invariance of the SOC-13 in terms of gender and area of residence. The study suggests that a shorter seven-item version consisting of items from the three components of sense of coherence has comparative properties to the 13-item version but the evidence does not provide support for the use of the SOC-13 as a multidimensional measure. Research in the area of sense of coherence would benefit from further validation studies of both the original SOC-13 and the revised SOC-7, especially across populations and settings.

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Section: Introductionmentioning

confidence: 99%

Is Less More? Reevaluating the Psychometric Properties of the Sense of Coherence-13 and a Revised Seven-Item Version in South Africa Using Classical Theory and Item Response Theory

Pretorius,

Padmanabhanunni

2023

Psych

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A network perspective to the measurement of sense of coherence (SOC): an exploratory graph analysis approach

Portoghese,

Sardu,

Bauer

et al. 2024

Curr Psychol

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The measurement of sense of coherence (SOC) has received attention for more than three decades. Despite the extensive use of the SOC-13, there is still a long debate regarding its psychometric properties. Recently, there was an increasing use of network modeling as a valid alternative to latent-variable modeling. This study proposes an exploratory approach to the structure of the SOC-13 by adopting a network perspective. Network structure was estimated with Gaussian Graphical Model and Exploratory Graph Analysis (EGA) was used for inspecting network dimensionality. We fit and compared unidimensional, first and secondorder confirmatory factor analysis (CFA), Bifactor-CFA, and structure derived from EGA.Our results showed unacceptable fit values for CFA models, suggesting that SOC is not unidimensional, and that comprehensibility, manageability, and meaningfulness could not be extracted from data. The inspection of the estimated network suggested that the SOC-13 items emerged as a dynamic system of mutually interacting nodes that clustered in three distinct communities that are not those defined in the literature. EGA identified three communities of items where the first community was characterized by comprehensibility and manageability items, the second community was characterized by comprehensibility and manageability items, and the third dimension was characterized by all the meaningfulness items and one comprehensibility item.Our study presented a novel perspective in investigating the SOC-13's structure that strengthens the assumption that SOC should be conceptualized as a complex system of cognitive (comprehensibility), behavioral (manageability) and motivational dimensions (meaningfulness) that are deeply linked and not necessarily distinct.

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Structural validity of the Brazilian version of the Sense of Coherence scale (SOC-13) in oral health research: exploratory and confirmatory factor analysis

Cited by 2 publications

References 34 publications

Is Less More? Reevaluating the Psychometric Properties of the Sense of Coherence-13 and a Revised Seven-Item Version in South Africa Using Classical Theory and Item Response Theory

Is Less More? Reevaluating the Psychometric Properties of the Sense of Coherence-13 and a Revised Seven-Item Version in South Africa Using Classical Theory and Item Response Theory

A network perspective to the measurement of sense of coherence (SOC): an exploratory graph analysis approach

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