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Psychometric Properties of the SOC-13 Scale in Colombian Adults

Author

Listed:
  • Ana Cristina Mafla

    (School of Dentistry, Universidad Cooperativa de Colombia, Pasto 520004, Colombia
    Escuela Internacional de Doctorado, Universidad Rey Juan Carlos, 28922 Madrid, Spain)

  • Mauricio Herrera-López

    (Department of Psychology, Universidad de Nariño, Pasto 520004, Colombia)

  • Karen España-Fuelagan

    (School of Dentistry, Universidad Cooperativa de Colombia, Pasto 520004, Colombia)

  • Iván Ramírez-Solarte

    (School of Dentistry, Universidad Cooperativa de Colombia, Pasto 520004, Colombia)

  • Carmen Gallardo Pino

    (Departamento de Especialidades Médicas y Salud Pública, Facultad Ciencias de la Salud, Universidad Rey Juan Carlos, 28922 Madrid, Spain)

  • Falk Schwendicke

    (Department of Oral Diagnostics, Digital Health and Health Services Research, Charité—Universitätsmedizin Berlin, 14197 Berlin, Germany)

Abstract

The aim of this study was to determine the psychometric properties of the Spanish version of the SOC-13 in Colombian adults. The SOC-13 questionnaire was administered to 489 individuals aged ≥18 years who were in lockdown from March to July 2020 in Nariño County, Colombia. Psychometric properties of the scale were examined using a cross-validation method via exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Additionally, configural and metric invariance were tested. To determine the internal consistency of the questionnaire, McDonald’s omega (ω), Cronbach’s alpha (α), and composite reliability (CR) coefficients were estimated. The EFA determined that a three-factor structure best fit the data (comprehensibility, manageability, and meaningfulness) and CFA confirmed this three-factor model structure showing a good fit ( χ 2 S-B = 188.530, χ 2 S-B /(62) = 3.615, p = 0.001; NNFI = 0.959; CFI = 0.968; RMSEA = 0.052 (90% CI [0.041–0.063]) and SRMR = 0.052).The invariance analysis indicated the same underlying theoretical structure between genders. Additionally, (ω), (α), and (CR) coefficients confirmed a high internal consistency of the instrument. The SOC-13 scale, reflecting comprehensibility, manageability, and meaningfulness, is a reliable and valid tool for assessing the sense of coherence in Colombian populations.

Suggested Citation

  • Ana Cristina Mafla & Mauricio Herrera-López & Karen España-Fuelagan & Iván Ramírez-Solarte & Carmen Gallardo Pino & Falk Schwendicke, 2021. "Psychometric Properties of the SOC-13 Scale in Colombian Adults," IJERPH, MDPI, vol. 18(24), pages 1-9, December.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:24:p:13017-:d:699034
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    References listed on IDEAS

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    1. Ákos Tóth & Rita Soós & Etelka Szovák & Noemi M. Najbauer & Dalma Tényi & Györgyi Csábí & Márta Wilhelm, 2020. "Energy Drink Consumption, Depression, and Salutogenic Sense of Coherence Among Adolescents and Young Adults," IJERPH, MDPI, vol. 17(4), pages 1-12, February.
    2. Antonovsky, Aaron, 1993. "The structure and properties of the sense of coherence scale," Social Science & Medicine, Elsevier, vol. 36(6), pages 725-733, March.
    3. Albert Satorra & Peter Bentler, 2001. "A scaled difference chi-square test statistic for moment structure analysis," Psychometrika, Springer;The Psychometric Society, vol. 66(4), pages 507-514, December.
    4. Albert Satorra & Peter Bentler, 2010. "Ensuring Positiveness of the Scaled Difference Chi-square Test Statistic," Psychometrika, Springer;The Psychometric Society, vol. 75(2), pages 243-248, June.
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