IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i19p10120-d643748.html
   My bibliography  Save this article

The Junior Students’ Internet Literacy Scale: Measure Development and Validation

Author

Listed:
  • Yinghui Huang

    (Key Laboratory of Adolescent Cyberpsychology and Behavior, Ministry of Education, Central China Normal University, Wuhan 430079, China)

  • Hui Liu

    (Key Laboratory of Adolescent Cyberpsychology and Behavior, Ministry of Education, Central China Normal University, Wuhan 430079, China)

  • Weijun Wang

    (Key Laboratory of Adolescent Cyberpsychology and Behavior, Ministry of Education, Central China Normal University, Wuhan 430079, China)

  • Rouchun Dong

    (Key Laboratory of Adolescent Cyberpsychology and Behavior, Ministry of Education, Central China Normal University, Wuhan 430079, China)

  • Yun Tang

    (Key Laboratory of Adolescent Cyberpsychology and Behavior, Ministry of Education, Central China Normal University, Wuhan 430079, China)

Abstract

Despite the great attention paid to Internet literacy research, little has been done to overcome the problems stemming from the heterogeneity of Internet literacy nomenclature and the use of non-standardized measurement tools, especially for adolescents in developing countries. Considering junior students are the high-risk groups of Internet addiction and have wide access to the Internet, the aim of this study is to develop a new scale to assess Chinese junior students’ Internet literacy (JIL). In the psychometric study ( n = 1099 junior students), an 18-item scale was developed using the exploratory and confirmatory factor analyses, which includes five subscales: knowledge and skills for the Internet (KSI), Internet self-management (ISM), awareness and cognition of Internet (ACI), Internet interactions (II), and autonomous learning on the Internet (ALI). Evidence of internal reliability, test-retest reliability, and construct validity provided good psychometric support for the measure. Criterion-related validity of the measures was demonstrated by examining its anticipated theoretical relations to two hypotheses: (1) High JIL level alleviates the adverse effects of an individual’s Internet addiction degree, while pathological use for interacting with others on the Internet exacerbates the adverse effects; (2) an individual’s degree of Internet use self-efficacy is positively associated with JIL level. It is envisaged that the JIL Scale will help facilitate unified research in the field.

Suggested Citation

  • Yinghui Huang & Hui Liu & Weijun Wang & Rouchun Dong & Yun Tang, 2021. "The Junior Students’ Internet Literacy Scale: Measure Development and Validation," IJERPH, MDPI, vol. 18(19), pages 1-16, September.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:19:p:10120-:d:643748
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/19/10120/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/18/19/10120/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lee Cronbach, 1951. "Coefficient alpha and the internal structure of tests," Psychometrika, Springer;The Psychometric Society, vol. 16(3), pages 297-334, September.
    2. 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.
    3. Benjamin Stodt & Matthias Brand & Cornelia Sindermann & Elisa Wegmann & Mei Li & Min Zhou & Peng Sha & Christian Montag, 2018. "Investigating the Effect of Personality, Internet Literacy, and Use Expectancies in Internet-Use Disorder: A Comparative Study between China and Germany," IJERPH, MDPI, vol. 15(4), pages 1-27, March.
    4. Sonia Livingstone & Ellen Helsper, 2010. "Balancing opportunities and risks in teenagers' use of the internet: the role of online skills and internet self-efficacy," LSE Research Online Documents on Economics 35373, London School of Economics and Political Science, LSE Library.
    5. Louis Leung, 2010. "Effects of Internet Connectedness and Information Literacy on Quality of Life," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 98(2), pages 273-290, September.
    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. Elise Verot & Paul Bonjean & Robin Chaux & Julie Gagnaire & Amandine Gagneux-Brunon & Bruno Pozzetto & Philippe Berthelot & Elisabeth Botelho-Nevers & Franck Chauvin, 2022. "Development and Validation of the COVID-19 Knowledges and Behavior Questionnaire in a French Population (CoVQuest-CC)," IJERPH, MDPI, vol. 19(5), pages 1-22, February.
    2. 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.
    3. 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.
    4. Silvia Mariela Méndez-Prado & Vanessa Rodriguez & Kevin Peralta-Rizzo & Patricia Everaert & Martin Valcke, 2023. "An Assessment Tool to Identify the Financial Literacy Level of Financial Education Programs Participants’ Executed by Ecuadorian Financial Institutions," Sustainability, MDPI, vol. 15(2), pages 1-24, January.
    5. 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.
    6. Jeanne A. Teresi & Katja Ocepek-Welikson & John A. Toner & Marjorie Kleinman & Mildred Ramirez & Joseph P. Eimicke & Barry J. Gurland & Albert Siu, 2017. "Methodological Issues in Measuring Subjective Well-Being and Quality-of-Life: Applications to Assessment of Affect in Older, Chronically and Cognitively Impaired, Ethnically Diverse Groups Using the F," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 12(2), pages 251-288, June.
    7. Sonia Cruz-Ros, 2009. "Multi-item models for evaluating managerial and organizational resources in service firms," Service Business, Springer;Pan-Pacific Business Association, vol. 3(3), pages 229-257, September.
    8. Godfred O Boateng & Shalean M Collins & Patrick Mbullo & Pauline Wekesa & Maricianah Onono & Torsten B Neilands & Sera L Young, 2018. "A novel household water insecurity scale: Procedures and psychometric analysis among postpartum women in western Kenya," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-28, June.
    9. Celia Maria Ortega-Cejas & Juan Roldán-Merino & Teresa Lluch-Canut & Mª Isabel Castrillo-Pérez & Mª Mercedes Vicente-Hernández & Marta Jimenez-Barragan & Ainoa Biurrun-Garrido & Mariona Farres-Tarafa , 2021. "Reliability and validity study of the Spanish adaptation of the “Wijma Delivery Expectancy/Experience Questionnaire” (W-DEQ-A)," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-17, March.
    10. Pan, Xiaofeng & Liu, Shaobo, 2022. "Modeling travel choice behavior with the concept of image: A case study of college students’ choice of homecoming train trips during the Spring Festival travel rush in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 247-258.
    11. Szymon Zaleski & Rafał Michalski, 2021. "Success Factors in Sustainable Management of IT Service Projects: Exploratory Factor Analysis," Sustainability, MDPI, vol. 13(8), pages 1-28, April.
    12. Rocío Herrero & Mª Dolores Vara & Marta Miragall & Cristina Botella & Azucena García-Palacios & Heleen Riper & Annet Kleiboer & Rosa Mª Baños, 2020. "Working Alliance Inventory for Online Interventions-Short Form (WAI-TECH-SF): The Role of the Therapeutic Alliance between Patient and Online Program in Therapeutic Outcomes," IJERPH, MDPI, vol. 17(17), pages 1-16, August.
    13. Lambert, Stephanie A. & Herbert, Ian P. & Rothwell, Andrew T., 2020. "Rethinking the Career Anchors Inventory framework with insights from a finance transformation field study," The British Accounting Review, Elsevier, vol. 52(2).
    14. Perri, Cecilia & Giglio, Carlo & Corvello, Vincenzo, 2020. "Smart users for smart technologies: Investigating the intention to adopt smart energy consumption behaviors," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    15. Hannah Han & Fan Yang & Sarah Murray & Gaspar Mbita & Maggie Bangser & Katherine Rucinski & Albert Komba & Caterina Casalini & Mary Drake & Esther Majani & Kelly Curran & Yeronimo Mlawa & Agnes Junga , 2021. "Characterizing a sexual health and HIV risk stratification scale for sexually active adolescent girls and young women (AGYW) in Tanzania," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-15, March.
    16. Rachid Laaja & Karen Macours, 2021. "Measuring Skills in Developing Countries," Journal of Human Resources, University of Wisconsin Press, vol. 56(4), pages 1254-1295.
    17. Bruno Damásio & Juliana Pacico & Michele Poletto & Sílvia Koller, 2013. "Refinement and Psychometric Properties of the Eight-Item Brazilian Positive and Negative Affective Schedule for Children (PANAS-C8)," Journal of Happiness Studies, Springer, vol. 14(4), pages 1363-1378, August.
    18. Tim Kautz & Quinn Moore, "undated". "Selecting and Testing Measures of Self-Regulation Skills Among Low-Income Populations," Mathematica Policy Research Reports 4bd116eb7bde491f9ed1b0276, Mathematica Policy Research.
    19. Henner Gimpel & Tobias Manner-Romberg & Fabian Schmied & Till J. Winkler, 2021. "Understanding the evaluation of mHealth app features based on a cross-country Kano analysis," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(4), pages 765-794, December.
    20. Vincenzo Corvello & Maria Cristina Chimenti & Carlo Giglio & Saverino Verteramo, 2020. "An Investigation on the Use by Academic Researchers of Knowledge from Scientific Social Networking Sites," Sustainability, MDPI, vol. 12(22), pages 1-16, November.

    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:18:y:2021:i:19:p:10120-:d:643748. 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.