IDEAS home Printed from https://ideas.repec.org/p/zbw/ciwdps/42015.html

Some searches may not work properly. We apologize for the inconvenience.

   My bibliography  Save this paper

Überschätzen sich Schüler?

Author

Listed:
  • Schleithoff, Fabian

Abstract

Der vorliegende Beitrag analysiert Selbstüberschätzungseffekte im deutschen Schulwesen. Zu diesem Zweck wurde eine Umfrage unter Oberstufenschülern eines Gymnasiums in Nordrhein-Westfalen durchgeführt. Die Schüler wurden u. a. nach ihrem aktuellen Notenschnitt und der angestrebten Abiturnote befragt. Es zeigt sich, dass die angestrebten Abiturnoten der Schüler signifikant besser als die erreichten Noten verschiedener Referenzgruppen sind. Schüler überschätzen demnach ihre eigene schulische Leistungsfähigkeit. Dieser Effekt kann dazu führen, dass Schüler Studiengänge anstreben, die sie mit ihrem tatsächlich erreichten Abiturschnitt nicht aufnehmen können. Um Schüler möglichst schnell an den für sie geeigneten Berufsweg heranzuführen, kommt der Berufswahlvorbereitung am Gymnasium ein hoher Stellenwert zu.

Suggested Citation

  • Schleithoff, Fabian, 2015. "Überschätzen sich Schüler?," CIW Discussion Papers 4/2015, University of Münster, Center for Interdisciplinary Economics (CIW).
  • Handle: RePEc:zbw:ciwdps:42015
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/115359/1/833526057.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bengtsson, Claes & Persson, Mats & Willenhag, Peter, 2005. "Gender and overconfidence," Economics Letters, Elsevier, vol. 86(2), pages 199-203, 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. Islam, Asad & Kwon, Sungoh & Masood, Eema & Prakash, Nishith & Sabarwal, Shwetlena & Saraswat, Deepak, 2020. "When Goal-Setting Forges Ahead but Stops Short," GLO Discussion Paper Series 526, Global Labor Organization (GLO).
    2. Ray Saadaoui Mallek & Mohamed Albaity, 2019. "Individual differences and cognitive reflection across gender and nationality the case of the United Arab Emirates," Cogent Economics & Finance, Taylor & Francis Journals, vol. 7(1), pages 1567965-156, January.
    3. Dato, Simon & Nieken, Petra, 2014. "Gender differences in competition and sabotage," Journal of Economic Behavior & Organization, Elsevier, vol. 100(C), pages 64-80.
    4. Mandel Philipp & Süssmuth Bernd, 2012. "Determinants of Digital Piracy: A Re-examination of Results," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 232(4), pages 394-413, August.
    5. Vanessa Mertins & Wolfgang Hoffeld, 2015. "Do Overconfident Workers Cooperate Less? The Relationship Between Overconfidence and Cooperation in Team Production," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 36(4), pages 265-274, June.
    6. Beckmann, Daniela & Menkhoff, Lukas & Suto, Megumi, 2008. "Does culture influence asset managers' views and behavior?," Journal of Economic Behavior & Organization, Elsevier, vol. 67(3-4), pages 624-643, September.
    7. Luis Santos-Pinto, 2011. "Labor Market Signaling and Self-Confidence: Wage Compression and the Gender Pay Gap N.B.: This paper replaces Nr 10.07 "Labor Market Signaling with Overconfident Workers" (June 2010)," Cahiers de Recherches Economiques du Département d'économie 11.07, Université de Lausanne, Faculté des HEC, Département d’économie.
    8. De Paola, Maria & Gioia, Francesca & Scoppa, Vincenzo, 2014. "Overconfidence, omens and gender heterogeneity: Results from a field experiment," Journal of Economic Psychology, Elsevier, vol. 45(C), pages 237-252.
    9. Peter Zwan & Ingrid Verheul & A. Thurik, 2012. "The entrepreneurial ladder, gender, and regional development," Small Business Economics, Springer, vol. 39(3), pages 627-643, October.
    10. Marcia L. Zindel & Emilio Menezes & Raul Matsushita & Sergio Da Silva, 2010. "Biological characteristics modulating investor overconfidence," Economics Bulletin, AccessEcon, vol. 30(2), pages 1496-1508.
    11. Daniela Beckmann & Lukas Menkhoff, 2008. "Will Women Be Women? Analyzing the Gender Difference among Financial Experts," Kyklos, Wiley Blackwell, vol. 61(3), pages 364-384, August.
    12. Krawczyk, Michał & Wilamowski, Maciej, 2019. "Task difficulty and overconfidence. Evidence from distance running," Journal of Economic Psychology, Elsevier, vol. 75(PB).
    13. Andrews Owusu & Alaa Mansour Zalata & Kamil Omoteso & Ahmed A. Elamer, 2022. "Is There a Trade-Off Between Accrual-Based and Real Earnings Management Activities in the Presence of (fe) Male Auditors?," Journal of Business Ethics, Springer, vol. 175(4), pages 815-836, February.
    14. Bengtsson, Claes & Persson, Mats & Willenhag, Peter, 2005. "Gender and overconfidence," Economics Letters, Elsevier, vol. 86(2), pages 199-203, February.
    15. Koellinger, Ph.D. & Treffers, T., 2012. "Joy leads to Overconfidence, and a Simple Remedy," ERIM Report Series Research in Management ERS-2012-001-STR, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    16. Delaney, Judith M. & Devereux, Paul J., 2021. "Gender differences in college applications: Aspiration and risk management," Economics of Education Review, Elsevier, vol. 80(C).
    17. Jost, Peter J. & Pünder, Johanna & Schulze-Lohoff, Isabell, 2020. "Fake news - Does perception matter more than the truth?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 85(C).
    18. Gerdes, Christer & Gränsmark, Patrik, 2010. "Strategic behavior across gender: A comparison of female and male expert chess players," Labour Economics, Elsevier, vol. 17(5), pages 766-775, October.
    19. Bjorn Van Campenhout & Anusha De, 2023. "Gendered perceptions in maize supply chains: Evidence from Uganda," Development Policy Review, Overseas Development Institute, vol. 41(2), March.
    20. Manuel F. Bagues & Berta Esteve-Volart, 2010. "Can Gender Parity Break the Glass Ceiling? Evidence from a Repeated Randomized Experiment," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(4), pages 1301-1328.

    More about this item

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

    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:zbw:ciwdps:42015. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/ilmuede.html .

    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.