IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i21p7820-d434710.html
   My bibliography  Save this article

The Social Support Networks Scale (SSNS) for Family Caregivers of Children with Cancer: A Psychometric Evaluation

Author

Listed:
  • Filiberto Toledano-Toledano

    (Evidence-Based Medicine Research Unit, Hospital Infantil de México Federico Gómez National Institute of Health, Mexico City 06720, Mexico)

  • José Moral de la Rubia

    (Facultad de Psicología, Subdirección de Posgrado, Universidad Autónoma de Nuevo León, Monterrey 64460, Mexico)

  • René Reyes Frometa

    (Faculty of Psychology, Universidad Michoacana de San Nicolas de Hidalgo, Michoacán 58030, Mexico)

  • Fabiola González Betanzos

    (Faculty of Psychology, Universidad Michoacana de San Nicolas de Hidalgo, Michoacán 58030, Mexico)

  • Laura Villavicencio Guzmán

    (Developmental Biology Research Laboratory, Hospital Infantil de México Federico Gómez National Institute of Health, Mexico City 06720, Mexico)

  • Marcela Salazar García

    (Developmental Biology Research Laboratory, Hospital Infantil de México Federico Gómez National Institute of Health, Mexico City 06720, Mexico)

Abstract

Currently, information about the psychometric properties of the Social Support Networks Scale (SSNS) for family caregivers of children with cancer is not yet available; therefore, there is no empirical evidence of its validity and reliability to support its use in this population. The aim of this study is to determine a factorial model of the SSNS, estimate its internal consistency reliability, describe its distribution, and check its concurrent validity. A convenience sample of 633 family caregivers of children with cancer hospitalized in a National Institute of Health in Mexico City was collected. The SSNS, a sociodemographic variables questionnaire, and three instruments that evaluated family functioning, quality of life, and resilience were applied. The five-factor model had a poor data fit and lacked discriminant validity. The sample was divided. In a subsample of 316 participants, exploratory factor analysis suggested a four-factor model. When testing the four-factor model through confirmatory factor analysis, religious support was independent of family support, friend support, and lack of support. In the other subsample of 317 participants, the one-factor model for religious support had a good fit, and the correlated three-factor model, with the remaining factors, showed an acceptable fit. Reliability ranged from acceptable (Guttman’s λ 2 = 0.72) to good (λ 2 = 0.88). Socio-family support and its three factors were correlated with family functioning, resilience, and quality of life. Religious support was correlated with four factors of resilience and quality of life. A scale of socio-family support with three factors and an independent scale for religious support are defined from the SSNS, and they showed internal consistency and construct validity.

Suggested Citation

  • Filiberto Toledano-Toledano & José Moral de la Rubia & René Reyes Frometa & Fabiola González Betanzos & Laura Villavicencio Guzmán & Marcela Salazar García, 2020. "The Social Support Networks Scale (SSNS) for Family Caregivers of Children with Cancer: A Psychometric Evaluation," IJERPH, MDPI, vol. 17(21), pages 1-21, October.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:21:p:7820-:d:434710
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/21/7820/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/21/7820/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. John Horn, 1965. "A rationale and test for the number of factors in factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 30(2), pages 179-185, June.
    2. Sherbourne, Cathy Donald & Stewart, Anita L., 1991. "The MOS social support survey," Social Science & Medicine, Elsevier, vol. 32(6), pages 705-714, January.
    3. Timothy Prestby & Joseph App & Yuhao Kang & Song Gao, 2020. "Understanding neighborhood isolation through spatial interaction network analysis using location big data," Environment and Planning A, , vol. 52(6), pages 1027-1031, September.
    4. Bustamante, Arturo Vargas & Vilar-Compte, Mireya & Ochoa Lagunas, Adriana, 2018. "Social support and chronic disease management among older adults of Mexican heritage: A U.S.-Mexico perspective," Social Science & Medicine, Elsevier, vol. 216(C), pages 107-113.
    5. Filiberto Toledano-Toledano & José Moral de la Rubia & Miriam Teresa Domínguez-Guedea & Laura A. Nabors & Blanca E. Barcelata-Eguiarte & Eduardo Rocha-Pérez & David Luna & Ahidée Leyva-López & Leonor , 2020. "Validity and Reliability of the Beck Anxiety Inventory (BAI) for Family Caregivers of Children with Cancer," IJERPH, MDPI, vol. 17(21), pages 1-24, October.
    6. Wayne Velicer, 1976. "Determining the number of components from the matrix of partial correlations," Psychometrika, Springer;The Psychometric Society, vol. 41(3), pages 321-327, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jolliffe, Dean & Baah, Samuel Kofi Tetteh, 2024. "Identifying the poor – Accounting for household economies of scale in global poverty estimates," World Development, Elsevier, vol. 179(C).
    2. Nadya Y. Rivera Rivera & Laura McGuinn & Erika Osorio-Valencia & Sandra Martinez-Medina & Lourdes Schnaas & Rosalind J. Wright & Martha Maria Téllez-Rojo & Robert O. Wright & Marcela Tamayo-Ortiz & Ma, 2021. "Changes in Depressive Symptoms, Stress and Social Support in Mexican Women during the COVID-19 Pandemic," IJERPH, MDPI, vol. 18(16), pages 1-11, August.
    3. César Merino-Soto & Alicia Boluarte Carbajal & Filiberto Toledano-Toledano & Laura A. Nabors & Miguel Ángel Núñez-Benítez, 2022. "A New Story on the Multidimensionality of the MSPSS: Validity of the Internal Structure through Bifactor ESEM," IJERPH, MDPI, vol. 19(2), pages 1-17, January.
    4. Filiberto Toledano-Toledano & David Luna & José Moral de la Rubia & Silvia Martínez Valverde & Carlos Alberto Bermúdez Morón & Marcela Salazar García & Mario José Vasquez Pauca, 2021. "Psychosocial Factors Predicting Resilience in Family Caregivers of Children with Cancer: A Cross-Sectional Study," IJERPH, MDPI, vol. 18(2), pages 1-13, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Orazio Attanasio & Sarah Cattan & Emla Fitzsimons & Costas Meghir & Marta Rubio-Codina, 2020. "Estimating the Production Function for Human Capital: Results from a Randomized Controlled Trial in Colombia," American Economic Review, American Economic Association, vol. 110(1), pages 48-85, January.
    2. Zaitun Mohd Saman & Ab Hamid Siti-Azrin & Azizah Othman & Yee Cheng Kueh, 2021. "The Validity and Reliability of the Malay Version of the Cyberbullying Scale among Secondary School Adolescents in Malaysia," IJERPH, MDPI, vol. 18(21), pages 1-12, November.
    3. Fernando Bucheli, 2021. "Before Entering Adulthood: Developing an Index of Capabilities for Young Adults in Bogota," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 16(3), pages 965-1002, June.
    4. Orazio Attanasio & Sarah Cattan & Emla Fitzsimons & Costas Meghir & Marta Rubio-Codina, 2015. "Estimating the Production Function for Human Capital: Results from a Randomized Control Trial in Colombia," Cowles Foundation Discussion Papers 1987, Cowles Foundation for Research in Economics, Yale University.
    5. Hauck, Jana & Suess-Reyes, Julia & Beck, Susanne & Prügl, Reinhard & Frank, Hermann, 2016. "Measuring socioemotional wealth in family-owned and -managed firms: A validation and short form of the FIBER Scale," Journal of Family Business Strategy, Elsevier, vol. 7(3), pages 133-148.
    6. Collison, Katherine L. & Miller, Joshua D. & Gaughan, Eric T. & Widiger, Thomas A. & Lynam, Donald R., 2016. "Development and validation of the super-short form of the Elemental Psychopathy Assessment," Journal of Criminal Justice, Elsevier, vol. 47(C), pages 143-150.
    7. Francisco J. Conejo & Lawrence F. Cunningham & Clifford E. Young, 2020. "Revisiting the Brand Luxury Index: new empirical evidence and future directions," Journal of Brand Management, Palgrave Macmillan, vol. 27(1), pages 108-122, January.
    8. Carlos Miguel Lemos & Ross Joseph Gore & Ivan Puga-Gonzalez & F LeRon Shults, 2019. "Dimensionality and factorial invariance of religiosity among Christians and the religiously unaffiliated: A cross-cultural analysis based on the International Social Survey Programme," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-36, May.
    9. Raveenajit Kaur A. P. & Kalvant Singh & Alberto Luis August, 2021. "Exploring the Factor Structure of the Constructs of Technological, Pedagogical, and Content Knowledge (TPACK): An Exploratory Factor Analysis Based on the Perceptions of TESOL Pre-Service Teachers at ," Research Journal of Education, Academic Research Publishing Group, vol. 7(2), pages 103-115, 06-2021.
    10. Attanasio, Orazio & Blundell, Richard & Conti, Gabriella & Mason, Giacomo, 2020. "Inequality in socio-emotional skills: A cross-cohort comparison," Journal of Public Economics, Elsevier, vol. 191(C).
    11. David Martinez-Miera & Rafael Repullo, 2019. "Monetary Policy, Macroprudential Policy, and Financial Stability," Annual Review of Economics, Annual Reviews, vol. 11(1), pages 809-832, August.
    12. Andrea Poli & Mario Miccoli, 2023. "Validation and Psychometric Properties of the Italian Version of the Unconditional Self-Kindness Scale (USKS)," IJERPH, MDPI, vol. 20(10), pages 1-14, May.
    13. Katharina L Graunke & Gerd Nürnberg & Dirk Repsilber & Birger Puppe & Jan Langbein, 2013. "Describing Temperament in an Ungulate: A Multidimensional Approach," PLOS ONE, Public Library of Science, vol. 8(9), pages 1-1, September.
    14. Bhaskar Mukherjee & Siniša Subotić & Ajay Kumar Chaubey, 2018. "And now for something completely different: the congruence of the Altmetric Attention Score’s structure between different article groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 253-275, January.
    15. Roberto Dell'Anno & Morena De Stefano, 2014. "Un indicatore sintetico dell?Illusione Finanziaria. Un tentativo di stima per l?Italia," ECONOMIA PUBBLICA, FrancoAngeli Editore, vol. 2014(1), pages 65-92.
    16. Salim Moussa, 2016. "A Comment on the Estimation of the Reliability of Multidimensional Marketing Constructs: A Store Personality Scale Application," Global Business Review, International Management Institute, vol. 17(5), pages 1125-1144, October.
    17. W. Holmes Finch, 2024. "Comparison of Methods for Addressing Outliers in Exploratory Factor Analysis and Impact on Accuracy of Determining the Number of Factors," Stats, MDPI, vol. 7(3), pages 1-21, August.
    18. Branden B. Johnson & William K. Hallman & Cara L. Cuite, 2015. "Modeling Retrospective Attribution of Responsibility to Hazard‐Managing Institutions: An Example Involving a Food Contamination Incident," Risk Analysis, John Wiley & Sons, vol. 35(3), pages 423-433, March.
    19. Timothy P Moss & Victoria Lawson & Paul White & The Appearance Research Collaboration, 2014. "Salience and Valence of Appearance in a Population with a Visible Difference of Appearance: Direct and Moderated Relationships with Self-Consciousness, Anxiety and Depression," PLOS ONE, Public Library of Science, vol. 9(2), pages 1-8, February.
    20. Artür Manukyan & Erhan Çene & Ahmet Sedef & Ibrahim Demir, 2014. "Dandelion plot: a method for the visualization of R-mode exploratory factor analyses," Computational Statistics, Springer, vol. 29(6), pages 1769-1791, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:21:p:7820-:d:434710. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.