IDEAS home Printed from https://ideas.repec.org/a/nos/voprob/2012i3p113-140.html
   My bibliography  Save this article

Teacher Characteristics and Student Performance at School. Applying the First Difference Method to TIMSS 2007 Data

Author

Abstract

Yuliya Tyumeneva, Psy.D., senior researcher at the Center for Monitoring Educational Quality, National Research University - Higher School of Economics, Moscow, Russian Federation. Email: jtiumeneva@hse.ru Tatyana Khavenson, junior researcher at the International Laboratory for Education Policy Analysis, National Research University - Higher School of Economics, Moscow, Russian Federation. Email: tkhavenson@hse.ru The Trends in International Mathematics and Science Study (TIMSS) does have a clear advantage in that, apart from a direct cognitive appraisal of students, it enables to collect information on their teachers, including their education background, work experience and teaching practices. The first difference method was used to determine how teacher characteristics were correlated with student achievements and to overcome restrictions of TIMSS correlation design. In addition, effects of teacher characteristics were evaluated by the conventional regression analysis. The discovered correlations differed across subject areas, and the results of the first difference method differed from those of the conventional correlation analysis. In mathematics, the first difference method revealed negative relation between academic progress and rule-based tasks or collaborative learning, while tasks designed to develop meta-subject skills showed a positive effect on performance. In natural sciences, on the contrary, rule-based tasks showed positive relation, while tasks designed to develop meta-subject skills produced a negative effect or no effect at all. Unlike in mathematics, teacher experience also had a significant influence on student achievements in natural sciences.Implementing the new methodological approach has allowed not only to determine relation between teacher characteristics and academic performance of students but also to identify characteristics typical of specific teacher categories, as, for example, those who work in elite schools or teach better-prepared students. This information may be used both in developing the educational policy and in designing future studies, especially experimental ones.

Suggested Citation

  • Yulia Tyumeneva & Tatiana Khavenson, 2012. "Teacher Characteristics and Student Performance at School. Applying the First Difference Method to TIMSS 2007 Data," Educational Studies, Higher School of Economics, issue 3, pages 113-140.
    • Handle: RePEc:nos:voprob:2012:i:3:p:113-140
    as

    Download full text from publisher

    File URL: https://vo.hse.ru/data/2013/11/01/1283183420/VO3_12-6%20Tiumen.pdf
    Download Restriction: no

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Galina Larina & Anastasia Kapuza, 2020. "Thinking Skills in Teaching Practices: Relationship with Students' Achievement in Mathematics," Educational Studies, Higher School of Economics, issue 1, pages 70-96.
    2. Ларина Г. С. & Капуза А. В., 2020. "Когнитивные Процессы В Преподавании: Связь С Достижениями Учащихся В Математике," Вопросы образования // Educational Studies, НИУ ВШЭ, issue 1, pages 70-96.

    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:nos:voprob:2012:i:3:p:113-140. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Ekaterina Bagdasarova) The email address of this maintainer does not seem to be valid anymore. Please ask Ekaterina Bagdasarova to update the entry or send us the correct email address. General contact details of provider: http://vo.hse.ru/en/ .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.