IDEAS home Printed from https://ideas.repec.org/p/hal/journl/halshs-01923612.html
   My bibliography  Save this paper

Detecting Biased Items When Developing a Scale: A Quantitative Method

Author

Listed:
  • Jean-Charles Pillet

    (ESC Grenoble - Ecole Supérieure de Commerce de Grenoble - EESC-GEM Grenoble Ecole de Management)

  • Claudio Vitari

    (AMU - Aix Marseille Université)

  • Federico Pigni

    (CETIC asbl - Centre d’Excellence en Technologies de l’Information et de la Communication)

  • Kevin Carillo

Abstract

In survey research, it is well known that the quality of responses is significantly altered by apparently trivial variations in the linguistic or grammatical properties of survey items. Yet numerous seemingly minor changes are made to survey items in the course of the scale development process so that they comply with other requirements (e.g., content validity). As a result, researchers may inadvertently introduce systematic measurement error that is not accounted for in the final model. Remedies to this problem are widely known, but reliable methods to diagnose it do not readily exist. In an effort to address this shortcoming, we develop a quantitative method to detect biased items and reinforce the reliability of IS measurement instruments. In this paper, we provide step by step implementation guidelines and show how to apply the method and interpret the output results.

Suggested Citation

  • Jean-Charles Pillet & Claudio Vitari & Federico Pigni & Kevin Carillo, 2018. "Detecting Biased Items When Developing a Scale: A Quantitative Method," Post-Print halshs-01923612, HAL.
    • Handle: RePEc:hal:journl:halshs-01923612
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-01923612
    as

    Download full text from publisher

    File URL: https://shs.hal.science/halshs-01923612/document
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zaichkowsky, Judith Lynne, 1985. "Measuring the Involvement Construct," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 12(3), pages 341-352, December.
    2. Fuller, Christie M. & Simmering, Marcia J. & Atinc, Guclu & Atinc, Yasemin & Babin, Barry J., 2016. "Common methods variance detection in business research," Journal of Business Research, Elsevier, vol. 69(8), pages 3192-3198.
    3. Dorothy Watson, 1992. "Correcting for Acquiescent Response Bias in the Absence of a Balanced Scale," Sociological Methods & Research, , vol. 21(1), pages 52-88, August.
    4. Grace Yao & Chia-huei Wu & Cheng-ta Yang, 2008. "Examining the content validity of the WHOQOL-BREF from respondents’ perspective by quantitative methods," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 85(3), pages 483-498, February.
    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. Jean-Charles Pillet & Claudio Vitari & Federico Pigni & Kevin Carillo, 2018. "Detecting Biased Items When Developing a Scale: A Quantitative Method," Grenoble Ecole de Management (Post-Print) halshs-01923612, HAL.
    2. Inwon Kang & Deokhee Cheon & Matthew Shin, 2011. "Advertising strategy for outbound travel services," Service Business, Springer;Pan-Pacific Business Association, vol. 5(4), pages 361-380, December.
    3. Peng Cheng & Zhe Ouyang & Yang Liu, 0. "The effect of information overload on the intention of consumers to adopt electric vehicles," Transportation, Springer, vol. 0, pages 1-20.
    4. Malin Jonell & Beatrice Crona & Kelsey Brown & Patrik Rönnbäck & Max Troell, 2016. "Eco-Labeled Seafood: Determinants for (Blue) Green Consumption," Sustainability, MDPI, vol. 8(9), pages 1-19, September.
    5. Merja Halme & Kari Linden & Kimmo Kääriä, 2009. "Patients’ Preferences for Generic and Branded Over-the-Counter Medicines," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 2(4), pages 243-255, December.
    6. Mahan, Joseph E. & Seo, Won Jae & Jordan, Jeremy S. & Funk, Daniel, 2015. "Exploring the impact of social networking sites on running involvement, running behavior, and social life satisfaction," Sport Management Review, Elsevier, vol. 18(2), pages 182-192.
    7. O'Cass, A., 2000. "An assessment of consumers product, purchase decision, advertising and consumption involvement in fashion clothing," Journal of Economic Psychology, Elsevier, vol. 21(5), pages 545-576, October.
    8. KonShik Kim, 2023. "The impact of job quality on organizational commitment and job satisfaction: The moderating role of socioeconomic status," Economic and Industrial Democracy, Department of Economic History, Uppsala University, Sweden, vol. 44(3), pages 773-797, August.
    9. Eunae Jung & Hyungun Sung, 2017. "The Influence of the Middle East Respiratory Syndrome Outbreak on Online and Offline Markets for Retail Sales," Sustainability, MDPI, vol. 9(3), pages 1-23, March.
    10. Kautish, Pradeep & Paço, Arminda & Thaichon, Park, 2022. "Sustainable consumption and plastic packaging: Relationships among product involvement, perceived marketplace influence and choice behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
    11. Chen, Jian-xun & Zhang, Bo & Zhan, Wu & Sharma, Piyush & Budhwar, Pawan & Tan, Hui, 2022. "Demystifying the non-linear effect of high commitment work systems (HCWS) on firms’ strategic intention of exploratory innovation: An extended resource-based view," Technovation, Elsevier, vol. 116(C).
    12. Nitin Walia & Mark Srite & Wendy Huddleston, 2016. "Eyeing the web interface: the influence of price, product, and personal involvement," Electronic Commerce Research, Springer, vol. 16(3), pages 297-333, September.
    13. Paul Baginski & Christoph Weber, 2017. "A Consumer Decision-making Process? Unfolding Energy Efficiency Decisions of German Owner-occupiers," EWL Working Papers 1708, University of Duisburg-Essen, Chair for Management Science and Energy Economics, revised Aug 2017.
    14. Yi-Hsiu Lin & Chen-Yueh Chen & Yen-Kuang Lin & Chen-Yin Lee & Chia-Yi Cheng, 2023. "Effects of Online Video Sport Spectatorship on the Subjective Well-Being of College Students: The Moderating Effect of Sport Involvement," IJERPH, MDPI, vol. 20(5), pages 1-11, March.
    15. Bruneau, Virginie & Swaen, Valérie & Zidda, Pietro, 2018. "Are loyalty program members really engaged? Measuring customer engagement with loyalty programs," Journal of Business Research, Elsevier, vol. 91(C), pages 144-158.
    16. Elizabeth Sheedy & Patrick Garcia & Denise Jepsen, 2021. "The Role of Risk Climate and Ethical Self-interest Climate in Predicting Unethical Pro-organisational Behaviour," Journal of Business Ethics, Springer, vol. 173(2), pages 281-300, October.
    17. Ahrholdt, Dennis C. & Gudergan, Siegfried P. & Ringle, Christian M., 2019. "Enhancing loyalty: When improving consumer satisfaction and delight matters," Journal of Business Research, Elsevier, vol. 94(C), pages 18-27.
    18. Papanagnou, Christos & Seiler, Andreas & Spanaki, Konstantina & Papadopoulos, Thanos & Bourlakis, Michael, 2022. "Data-driven digital transformation for emergency situations: The case of the UK retail sector," International Journal of Production Economics, Elsevier, vol. 250(C).
    19. Lim, Joon Soo & Zhang, Jun, 2022. "Adoption of AI-driven personalization in digital news platforms: An integrative model of technology acceptance and perceived contingency," Technology in Society, Elsevier, vol. 69(C).
    20. Ostovan, Nima & Khalili Nasr, Arash, 2022. "The manifestation of luxury value dimensions in brand engagement in self-concept," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:hal:journl:halshs-01923612. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.