IDEAS home Printed from https://ideas.repec.org/a/sae/sagope/v6y2016i4p2158244016678290.html
   My bibliography  Save this article

Educational Decision Making With Visual Data and Graphical Interpretation

Author

Listed:
  • Charlotte Y. Alverson
  • Scott H. Yamamoto

Abstract

In this study, we used a paper–pencil questionnaire to investigate whether teachers, administrators, and parents differed in their preferences and accuracy when interpreting visual data displays for decision making. For the data analysis, we used nonparametric tests due to violations of distributional assumptions for using parametric tests. We found no significant differences between the three groups on graph preference, but within two groups, we found statistically significant differences in preference. We also found statistically significant differences in accuracy between parents and administrators for two graphs—grouped columns and stacked columns. Implications for researchers and education stakeholders, and recommendations for further research are provided.

Suggested Citation

  • Charlotte Y. Alverson & Scott H. Yamamoto, 2016. "Educational Decision Making With Visual Data and Graphical Interpretation," SAGE Open, , vol. 6(4), pages 21582440166, November.
  • Handle: RePEc:sae:sagope:v:6:y:2016:i:4:p:2158244016678290
    DOI: 10.1177/2158244016678290
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/2158244016678290
    Download Restriction: no

    File URL: https://libkey.io/10.1177/2158244016678290?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Desanctis, Gerardine & Jarvenpaa, Sirkka L., 1989. "Graphical presentation of accounting data for financial forecasting: An experimental investigation," Accounting, Organizations and Society, Elsevier, vol. 14(5-6), pages 509-525, October.
    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. Flora Mui¤o V zquez & ?Marco Trombetta, 2007. "Does graph disclosure bias reduce the cost of equity capital?," "Marco Fanno" Working Papers 0039, Dipartimento di Scienze Economiche "Marco Fanno".
    2. Vetschera, Rudolf & Walterscheid, Heinz, 1993. "A process-oriented framework for the evaluation of managerial support systems," Discussion Papers, Series I 264, University of Konstanz, Department of Economics.
    3. Perera, H. Niles & Hurley, Jason & Fahimnia, Behnam & Reisi, Mohsen, 2019. "The human factor in supply chain forecasting: A systematic review," European Journal of Operational Research, Elsevier, vol. 274(2), pages 574-600.
    4. Webby, Richard & O'Connor, Marcus, 1996. "Judgemental and statistical time series forecasting: a review of the literature," International Journal of Forecasting, Elsevier, vol. 12(1), pages 91-118, March.
    5. Ronzani, Matteo & Gatzweiler, Marian Konstantin, 2022. "The lure of the visual: Multimodality, simplification, and performance measurement visualizations in a megaproject," Accounting, Organizations and Society, Elsevier, vol. 97(C).
    6. Wan Ying Hill & Margaret Milner, 2003. "Guidelines for graphical displays in financial reporting," Accounting Education, Taylor & Francis Journals, vol. 12(2), pages 135-157.
    7. Sebastian Bachler & Felix Holzmeister & Michael Razen & Matthias Stefan, 2021. "The Impact of Presentation Format and Choice Architecture on Portfolio Allocations: Experimental Evidence," Working Papers 2021-15, Faculty of Economics and Statistics, Universität Innsbruck.
    8. Banker, Rajiv D. & Chang, Hsihui & Pizzini, Mina, 2011. "The judgmental effects of strategy maps in balanced scorecard performance evaluations," International Journal of Accounting Information Systems, Elsevier, vol. 12(4), pages 259-279.
    9. Reimers, Stian & Harvey, Nigel, 2024. "Bars, lines and points: The effect of graph format on judgmental forecasting," International Journal of Forecasting, Elsevier, vol. 40(1), pages 44-61.
    10. Rahma Chekkar & Isabelle Martinez & Claire Gillet, 2013. "Une étude expérimentale des formats de présentation de la performance : tableaux versus graphiques," Post-Print hal-01002935, HAL.
    11. Cardinaels, Eddy, 2008. "The interplay between cost accounting knowledge and presentation formats in cost-based decision-making," Accounting, Organizations and Society, Elsevier, vol. 33(6), pages 582-602, August.
    12. Ricardo Lopes Cardoso & Rodrigo Oliveira Leite & André Carlos Busanelli de Aquino, 2016. "A Graph is Worth a Thousand Words: How Overconfidence and Graphical Disclosure of Numerical Information Influence Financial Analysts Accuracy on Decision Making," PLOS ONE, Public Library of Science, vol. 11(8), pages 1-14, August.
    13. Yigitbasioglu, Ogan M. & Velcu, Oana, 2012. "A review of dashboards in performance management: Implications for design and research," International Journal of Accounting Information Systems, Elsevier, vol. 13(1), pages 41-59.
    14. Campbell, Colin L. & Berthon, Pierre R. & Pitt, Leyland F. & McCarthy, Ian & Plangger, Kirk, 2012. "Making a face: Graphical illustrations of managerial stances toward customer creativity," Australasian marketing journal, Elsevier, vol. 20(1), pages 9-15.
    15. Lawrence, Michael & Goodwin, Paul & O'Connor, Marcus & Onkal, Dilek, 2006. "Judgmental forecasting: A review of progress over the last 25 years," International Journal of Forecasting, Elsevier, vol. 22(3), pages 493-518.
    16. Almilia Luciana S. & Dewi Nurul H. U. & Wulanditya Putri, 2019. "The effect of visualization and complexity tasks in investment decision making," HOLISTICA – Journal of Business and Public Administration, Sciendo, vol. 10(1), pages 68-77, April.

    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:sae:sagope:v:6:y:2016:i:4:p:2158244016678290. 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: SAGE Publications (email available below). General contact details of provider: .

    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.