IDEAS home Printed from https://ideas.repec.org/a/oap/ijaefa/v18y2024i1p53-64id1319.html
   My bibliography  Save this article

Measuring aggressive decision-making behavior: A confirmatory factor analysis

Author

Listed:
  • Muhammad Rizal
  • M Shabri Abd Majid
  • Said Musnadi
  • A Sakir

Abstract

This research paper aims to develop and validate a questionnaire for measuring aggressive investor behavior (AIB). The design of the questionnaire holds significant importance, given the absence of validated questionnaires in the current body of literature. Currently, limited research is available on aggressive investor behavior. In order to integrate behavioral finance theory and market microstructure into the study of decision-making behavior, it is essential to develop and validate a questionnaire model for aggressive investor behavior. This research involved three stages. First, the compilation of a questionnaire. Second, test its validity and reliability. Finally, after conducting statistical analysis, a total of 40 investors participated in the pre-survey. A confirmatory factor analysis (CFA) was conducted with 324 investors as respondents. The questionnaire developed to assess aggressive investor behavior and its determinant factors has been proven valid and reliable. The questionnaire is composed in straightforward language, making it simple to understand. However, using this questionnaire in other areas may necessitate further adjustments and modifications. To the best of the authors' knowledge, no previous studies have developed a questionnaire to assess aggressive investor behavior from the perspective of the Indonesian stock market. The research findings offer valuable insights for scholars and financial institutions keenly interested in finance research. This study provides a guideline in the form of a valid questionnaire to facilitate research, especially concerning aggressive investor behavior. Additionally, this research contributes to the literature on financial behavior by providing a validated questionnaire for further exploration.

Suggested Citation

  • Muhammad Rizal & M Shabri Abd Majid & Said Musnadi & A Sakir, 2024. "Measuring aggressive decision-making behavior: A confirmatory factor analysis," International Journal of Applied Economics, Finance and Accounting, Online Academic Press, vol. 18(1), pages 53-64.
  • Handle: RePEc:oap:ijaefa:v:18:y:2024:i:1:p:53-64:id:1319
    as

    Download full text from publisher

    File URL: https://onlineacademicpress.com/index.php/IJAEFA/article/view/1319/818
    Download Restriction: no

    File URL: https://onlineacademicpress.com/index.php/IJAEFA/article/view/1319/954
    Download Restriction: no
    ---><---

    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:oap:ijaefa:v:18:y:2024:i:1:p:53-64:id:1319. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Heather Rothman (email available below). General contact details of provider: http://onlineacademicpress.com/index.php/IJAEFA/ .

    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.