IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i11p8990-d1162621.html
   My bibliography  Save this article

Psychometric Performance of the Fear of COVID-19 Scale (FCV-19S) and Its Validation in Czechia

Author

Listed:
  • Jiri Remr

    (INESAN (Institute for Evaluations and Social Analyses), Sokolovská 351/25, 18600 Prague, Czech Republic)

Abstract

The COVID-19 pandemic has brought significant changes to people’s lives, causing high levels of anxiety, distress, and fear. In response, the “Fear of COVID-19” scale (FCV-19S) was developed in 2020 to measure the severity of fears related to COVID-19. This study assessed the psychometric properties of the Czech version of the FCV-19S, which was administered to a representative sample of 1372 participants, and confirmatory factor analysis (CFA) was conducted. The sample reflects the structure of a theoretical population aged 15–74 years and is composed of 50% males and 50% females. Moreover, univariate statistics were calculated, internal consistency was tested, and uni-dimensionality based on principal component analysis was performed. In addition, univariate statistical analyses were performed, internal consistency was tested, and univariate consistency was also assessed using principal component analysis. CFA indicated that the scale demonstrated very good standard indices; FCV-19S showed a high level of internal consistency, and it adequately differentiated the levels of fear among diverse subpopulations. The findings suggest that the Czech version of the FCV-19S is a valid and reliable instrument that has robust psychometric properties and can, therefore, be recommended for use in research. The availability of the Czech version of the FCV-19S will contribute to assessments of the impact of the COVID-19 pandemic on the Czech population, providing valuable information in guiding interventions aimed at reducing the negative psychological impacts of the pandemic.

Suggested Citation

  • Jiri Remr, 2023. "Psychometric Performance of the Fear of COVID-19 Scale (FCV-19S) and Its Validation in Czechia," Sustainability, MDPI, vol. 15(11), pages 1-15, June.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:11:p:8990-:d:1162621
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/11/8990/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/11/8990/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. William Revelle & Richard Zinbarg, 2009. "Coefficients Alpha, Beta, Omega, and the glb: Comments on Sijtsma," Psychometrika, Springer;The Psychometric Society, vol. 74(1), pages 145-154, March.
    Full references (including those not matched with items on IDEAS)

    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. Anne-Catherine Guio & David Gordon & Eric Marlier & Hector Najera & Marco Pomati, 2018. "Towards an EU measure of child deprivation," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 11(3), pages 835-860, June.
    2. Gaetano Martino & Giulia Giacchè & Enrica Rossetti, 2016. "Organizing the Co-Production of Health and Environmental Values in Food Production: The Constitutional Processes in the Relationships between Italian Solidarity Purchasing Groups and Farmers," Sustainability, MDPI, vol. 8(4), pages 1-22, March.
    3. Samuel Mayanja & Joseph M. Ntayi & John C. Munene & Waswa Balunywa & James R. K. Kagaari, 2021. "Informational differences and entrepreneurial networking among small and medium enterprises in Uganda," Journal of Global Entrepreneurship Research, Springer;UNESCO Chair in Entrepreneurship, vol. 11(1), pages 563-577, December.
    4. Sai-fu Fung & Esther Oi-wah Chow & Chau-kiu Cheung, 2020. "Development and Evaluation of the Psychometric Properties of a Brief Wisdom Development Scale," IJERPH, MDPI, vol. 17(8), pages 1-14, April.
    5. Sam S. S. Lau & Cherry C. Y. Ho & Rebecca C. K. Pang & Susan Su & Heather Kwok & Sai-fu Fung & Roger C. Ho, 2022. "COVID-19 Burnout Subject to the Dynamic Zero-COVID Policy in Hong Kong: Development and Psychometric Evaluation of the COVID-19 Burnout Frequency Scale," Sustainability, MDPI, vol. 14(14), pages 1-13, July.
    6. Carmen León-Mantero & José Carlos Casas-Rosal & Alexander Maz-Machado & Miguel E Villarraga Rico, 2020. "Analysis of attitudinal components towards statistics among students from different academic degrees," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-13, January.
    7. Naiara Escalante Mateos & Eider Goñi Palacios & Arantza Fernández-Zabala & Iratxe Antonio-Agirre, 2020. "Internal Structure, Reliability and Invariance across Gender Using the Multidimensional School Climate Scale PACE-33," IJERPH, MDPI, vol. 17(13), pages 1-24, July.
    8. Beatriz Talavera-Velasco & Lourdes Luceño-Moreno & Jesús Martín García & Daniel Vázquez-Estévez, 2018. "DECORE-21: Assessment of occupational stress in police. Confirmatory factor analysis of the original model," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-11, October.
    9. Brian K Miller & Kay M Nicols & Silvia Clark & Alison Daniels & Whitney Grant, 2018. "Meta-analysis of coefficient alpha for scores on the Narcissistic Personality Inventory," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-16, December.
    10. Jasna Mesarić & Diana Šimić & Milica Katić & Ellen Catharina Tveter Deilkås & Dag Hofoss & Gunnar Tschudi Bondevik, 2020. "The safety attitudes questionnaire for out-of-hours service in primary healthcare—Psychometric properties of the Croatian version," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-17, November.
    11. Andrea Chmitorz & Mario Wenzel & Rolf-Dieter Stieglitz & Angela Kunzler & Christiana Bagusat & Isabella Helmreich & Anna Gerlicher & Miriam Kampa & Thomas Kubiak & Raffael Kalisch & Klaus Lieb & Olive, 2018. "Population-based validation of a German version of the Brief Resilience Scale," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-14, February.
    12. Willem A. Arrindell & Irene Checa & Begoña Espejo & I-Hua Chen & Danilo Carrozzino & Phuong Vu-Bich & Huong Dambach & Paula Vagos, 2022. "Measurement Invariance and Construct Validity of the Satisfaction With Life Scale (SWLS) in Community Volunteers in Vietnam," IJERPH, MDPI, vol. 19(6), pages 1-16, March.
    13. Sascha Kraus & Alexander Brem & Miriam Schuessler & Felix Schuessler & Thomas Niemand, 2019. "Innovative Born Globals: Investigating the Influence of Their Business Models on International Performance," World Scientific Book Chapters, in: Alexander Brem & Joe Tidd & Tugrul Daim (ed.), Managing Innovation Internationalization of Innovation, chapter 11, pages 275-328, World Scientific Publishing Co. Pte. Ltd..
    14. Fabián Humberto Marín-González & Iago Portela-Pino & Juan Pedro Fuentes-García & María José Martínez-Patiño, 2024. "Analysis of Socio-Emotional Competencies as a Key Dimension for Sustainability in Colombian Elite Athletes," Sustainability, MDPI, vol. 16(5), pages 1-18, March.
    15. Michaelis, Timothy L. & Scheaf, David J. & Carr, Jon C. & Pollack, Jeffrey M., 2022. "An agentic perspective of resourcefulness: Self-reliant and joint resourcefulness behaviors within the entrepreneurship process," Journal of Business Venturing, Elsevier, vol. 37(1).
    16. Huber, Laura Rosendahl & Sloof, Randolph & Van Praag, Mirjam, 2014. "The effect of early entrepreneurship education: Evidence from a field experiment," European Economic Review, Elsevier, vol. 72(C), pages 76-97.
    17. Bonginkosi Robert Dlamini & Isaac Tebogo Rampedi & Ayodeji Peter Ifegbesan, 2017. "Community Resident’s Opinions and Perceptions on the Effectiveness of Waste Management and Recycling Potential in the Umkhanyakude and Zululand District Municipalities in the KwaZulu-Natal Province of," Sustainability, MDPI, vol. 9(10), pages 1-19, October.
    18. Piotr Koc, 2021. "Measuring Non-electoral Political Participation: Bi-factor Model as a Tool to Extract Dimensions," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 156(1), pages 271-287, July.
    19. Jules L. Ellis & Klaas Sijtsma, 2024. "Proof of Reliability Convergence to 1 at Rate of Spearman–Brown Formula for Random Test Forms and Irrespective of Item Pool Dimensionality," Psychometrika, Springer;The Psychometric Society, vol. 89(3), pages 774-795, September.
    20. Ruth Pogacar & Michal Kouril & Thomas P. Carpenter & James J. Kellaris, 2018. "Implicit and explicit preferences for brand name sounds," Marketing Letters, Springer, vol. 29(2), pages 241-259, June.

    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:jsusta:v:15:y:2023:i:11:p:8990-:d:1162621. 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.