IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i21p7834-d434881.html
   My bibliography  Save this article

Development and Psychometric Testing of the Self-Care in COVID-19 (SCOVID) Scale, an Instrument for Measuring Self-Care in the COVID-19 Pandemic

Author

Listed:
  • Maddalena De Maria

    (Department of Biomedicine and Prevention, Faculty of Medicine and Surgery, University of Rome Tor Vergata, Via Montpellier, 1, 00133 Rome, Italy)

  • Federico Ferro

    (Department of Biomedicine and Prevention, Faculty of Medicine and Surgery, University of Rome Tor Vergata, Via Montpellier, 1, 00133 Rome, Italy)

  • Davide Ausili

    (Department of Medicine and Surgery, Faculty of Medicine and Surgery, University of Milan-Bicocca, Via Cadore 48, 20900 Monza, Italy)

  • Rosaria Alvaro

    (Department of Biomedicine and Prevention, Faculty of Medicine and Surgery, University of Rome Tor Vergata, Via Montpellier, 1, 00133 Rome, Italy)

  • Maria Grazia De Marinis

    (Research Unit of Nursing Science, Faculty of Medicine and Surgery, Campus Bio-medico University of Rome, Via Alvaro del Portillo, 21 00128 Rome, Italy)

  • Stefania Di Mauro

    (Department of Medicine and Surgery, Faculty of Medicine and Surgery, University of Milan-Bicocca, Via Cadore 48, 20900 Monza, Italy)

  • Maria Matarese

    (Research Unit of Nursing Science, Faculty of Medicine and Surgery, Campus Bio-medico University of Rome, Via Alvaro del Portillo, 21 00128 Rome, Italy)

  • Ercole Vellone

    (Department of Biomedicine and Prevention, Faculty of Medicine and Surgery, University of Rome Tor Vergata, Via Montpellier, 1, 00133 Rome, Italy)

Abstract

Aim: To develop the Self-Care in COVID-19 (SCOVID) scale and to test its psychometric characteristics in the general population. Methods: We tested SCOVID scale content validity with 19 experts. For factorial and construct validity, reliability, and measurement error, we administered the 20-item SCOVID scale to a sample of 461 Italians in May/June 2020 (mean age: 48.8, SD ± 15.8). Results: SCOVID scale item content validity ranged between 0.85–1.00, and the total scale content validity was 0.94. Confirmatory factor analysis supported SCOVID scale factorial validity (comparative fit index = 0.91; root mean square error of approximation = 0.05). Construct validity was supported by significant correlations with other instrument scores measuring self-efficacy, positivity, quality of life, anxiety, and depression. Reliability estimates were good with factor score determinacy, composite reliability, global reliability index, Cronbach’s alpha, and test-retest reliability ranging between 0.71–0.91. The standard error of measurement was adequate. Conclusions: The SCOVID scale is a new instrument measuring self-care in the COVID-19 pandemic with adequate validity and reliability. The SCOVID scale can be used in practice and research for assessing self-care in the COVID-19 pandemic to preventing COVID-19 infection and maintaining wellbeing in the general population.

Suggested Citation

  • Maddalena De Maria & Federico Ferro & Davide Ausili & Rosaria Alvaro & Maria Grazia De Marinis & Stefania Di Mauro & Maria Matarese & Ercole Vellone, 2020. "Development and Psychometric Testing of the Self-Care in COVID-19 (SCOVID) Scale, an Instrument for Measuring Self-Care in the COVID-19 Pandemic," IJERPH, MDPI, vol. 17(21), pages 1-12, October.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:21:p:7834-:d:434881
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/21/7834/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/17/21/7834/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fornell, Claes, 1983. "Issues in the Application of Covariance Structure Analysis: A Comment," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 9(4), pages 443-448, March.
    2. Bagozzi, Richard P, 1983. "Issues in the Application of Covariance Structure Analysis: A Further Comment," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 9(4), pages 449-450, March.
    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. Yasuhiro Kotera & Akihiko Ozaki & Hirotomo Miyatake & Chie Tsunetoshi & Yoshitaka Nishikawa & Makoto Kosaka & Tetsuya Tanimoto, 2022. "Qualitative Investigation into the Mental Health of Healthcare Workers in Japan during the COVID-19 Pandemic," IJERPH, MDPI, vol. 19(1), pages 1-14, 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. Breitsohl, Jan & Garrod, Brian, 2016. "Assessing tourists' cognitive, emotional and behavioural reactions to an unethical destination incident," Tourism Management, Elsevier, vol. 54(C), pages 209-220.
    2. Alta Arapi & Ercole Vellone & Dhurata Ivziku & Blerina Duka & Dasilva Taci & Ippolito Notarnicola & Alessandro Stievano & Emanuela Prendi & Gennaro Rocco & Maddalena De Maria, 2023. "Psychometric Characteristics of the Self-Care of Chronic Illness Inventory in Older Adults Living in a Middle-Income Country," IJERPH, MDPI, vol. 20(6), pages 1-15, March.
    3. Claes Fornell & Youjae Yi, 1992. "Assumptions of the Two-Step Approach to Latent Variable Modeling," Sociological Methods & Research, , vol. 20(3), pages 291-320, February.
    4. Piotr Tarka, 2018. "An overview of structural equation modeling: its beginnings, historical development, usefulness and controversies in the social sciences," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(1), pages 313-354, January.
    5. Zhang, XiaoLi & Liu, ChenGuang & Li, WenJuan & Evans, Steve & Yin, Yong, 2017. "Effects of key enabling technologies for seru production on sustainable performance," Omega, Elsevier, vol. 66(PB), pages 290-307.
    6. Kim, Keysuk, 2001. "On the effects of customer conditions on distributor commitment and supplier commitment in industrial channels of distribution," Journal of Business Research, Elsevier, vol. 51(2), pages 87-99, February.
    7. Hardeep Chahal & Madhu Bala, 2010. "Confirmatory Study on Brand Equity and Brand Loyalty: A Special Look at the Impact of Attitudinal and Behavioural Loyalty," Vision, , vol. 14(1-2), pages 1-12, January.
    8. Ebrahimi, Bahman P., 2000. "Environmental complexity, importance, variability and scanning behavior of Hong Kong executives," International Business Review, Elsevier, vol. 9(2), pages 253-270, April.
    9. David Gerbing & James Anderson, 1987. "Improper solutions in the analysis of covariance structures: Their interpretability and a comparison of alternate respecifications," Psychometrika, Springer;The Psychometric Society, vol. 52(1), pages 99-111, March.
    10. Staub, Selva & Kaynak, Ramazan & Gok, Tarkan, 2016. "What affects sustainability and innovation — Hard or soft corporate identity?," Technological Forecasting and Social Change, Elsevier, vol. 102(C), pages 72-79.
    11. Bacile, Todd J. & Wolter, Jeremy S. & Allen, Alexis M. & Xu, Pei, 2018. "The Effects of Online Incivility and Consumer-to-Consumer Interactional Justice on Complainants, Observers, and Service Providers During Social Media Service Recovery," Journal of Interactive Marketing, Elsevier, vol. 44(C), pages 60-81.
    12. Thiagarajan, Palaniappan & Ponder, Nicole & Lueg, Jason E. & Worthy, Sheri Lokken & Taylor, Ronald D., 2009. "The effects of role strain on the consumer decision process for groceries in single-parent households," Journal of Retailing and Consumer Services, Elsevier, vol. 16(3), pages 207-215.
    13. Timothy Hawkins & Michael Gravier & Edward Powley, 2011. "Public Versus Private Sector Procurement Ethics and Strategy: What Each Sector can Learn from the Other," Journal of Business Ethics, Springer, vol. 103(4), pages 567-586, November.
    14. Vesel, Patrick & Zabkar, Vesna, 2009. "Managing customer loyalty through the mediating role of satisfaction in the DIY retail loyalty program," Journal of Retailing and Consumer Services, Elsevier, vol. 16(5), pages 396-406.
    15. Richard HERMIDA, 2015. "The problem of allowing correlated errors in structural equation modeling: concerns and considerations," Computational Methods in Social Sciences (CMSS), "Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences, vol. 3(1), pages 05-17, June.
    16. Justin Lai & Rosli Zin Khairulzan Yahya & Chai Chang Saar, 2016. "Engineering Consultancy Practice (ECP) Business Model in Malaysia: A Structural Equation Modeling (SEM) Approach," International Journal of Business and Management, Canadian Center of Science and Education, vol. 11(3), pages 1-52, February.
    17. Waqas Khuram & Yanqing Wang & Mudassar Ali & Aisha Khalid & Heesup Han, 2023. "Impact of Supportive Supervisor on Doctoral Students’ Research Productivity: The Mediating Roles of Academic Engagement and Academic Psychological Capital," SAGE Open, , vol. 13(3), pages 21582440231, July.
    18. Hausman, Warren H. & Montgomery, David B. & Roth, Aleda V., 2000. "Exploring the Impact of Marketing and Manufacturing Strategies, Conflict, and Morale on Business Performance," Research Papers 1620, Stanford University, Graduate School of Business.
    19. López Caro, Cristina María & Fernández Aguirre, María Carmen & Mariel Chladkova, Petr, 2002. "Índices de Satisfacción del Consumidor: una aplicación de Modelos de Ecuaciones Estructurales a la Industria Automovilística Española," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).

    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:7834-:d:434881. 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.