IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/79781.html
   My bibliography  Save this paper

Guidelines for data fusion with international large scale assessments: Insights from the TALIS-PISA link

Author

Listed:
  • Gil-Izquierdo, María
  • Cordero, José Manuel

Abstract

The educational effectiveness research has experienced a substantial improvement in the last decades thanks to the refinement of large-scale international assessments. Those surveys provide researchers and policy makers with comparative micro data that can be exploited in cross-national studies in order to evaluate educational policies or determinants of educational achievement. This paper focuses on the potential uses and misuses that can be made with the so-called TALIS-PISA link created by the OECD. This is a recently developed instrument that allows for connecting data about teacher characteristics and practices collected in TALIS with students´ academic performance measured in PISA. However, the statistical and technical aspects regarding this link between both surveys are far from straightforward. In this paper we explore the main problematic issues of the data fusion process and provide some guidelines for researchers interested in performing empirical analyses using the resulting dataset.

Suggested Citation

  • Gil-Izquierdo, María & Cordero, José Manuel, 2017. "Guidelines for data fusion with international large scale assessments: Insights from the TALIS-PISA link," MPRA Paper 79781, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:79781
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/79781/1/MPRA_paper_79781.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Van Klaveren, Chris, 2011. "Lecturing style teaching and student performance," Economics of Education Review, Elsevier, vol. 30(4), pages 729-739, August.
    2. Steven G. Rivkin & Eric A. Hanushek & John F. Kain, 2005. "Teachers, Schools, and Academic Achievement," Econometrica, Econometric Society, vol. 73(2), pages 417-458, March.
    3. Hanushek, Eric A & Rivkin, Steven G & Taylor, Lori L, 1996. "Aggregation and the Estimated Effects of School Resources," The Review of Economics and Statistics, MIT Press, vol. 78(4), pages 611-627, November.
    4. Ehrenberg, Ronald G. & Brewer, Dominic J., 1994. "Do school and teacher characteristics matter? Evidence from High School and Beyond," Economics of Education Review, Elsevier, vol. 13(1), pages 1-17, March.
    5. Noémie Le Donné & Pablo Fraser & Guillaume Bousquet, 2016. "Teaching Strategies for Instructional Quality: Insights from the TALIS-PISA Link Data," OECD Education Working Papers 148, OECD Publishing.
    6. Hanushek, Eric A., 2011. "The economic value of higher teacher quality," Economics of Education Review, Elsevier, vol. 30(3), pages 466-479, June.
    7. José M. Cordero & Víctor Cristóbal & Daniel Santín, 2018. "Causal Inference On Education Policies: A Survey Of Empirical Studies Using Pisa, Timss And Pirls," Journal of Economic Surveys, Wiley Blackwell, vol. 32(3), pages 878-915, July.
    8. Schwerdt, Guido & Wuppermann, Amelie C., 2011. "Is traditional teaching really all that bad? A within-student between-subject approach," Economics of Education Review, Elsevier, vol. 30(2), pages 365-379, April.
    9. Bruce Austin & Olusola O. Adesope & Brian F. French & Chad Gotch & Julie Bélanger & Katarzyna Kubacka, 2015. "Examining school context and its influence on teachers: linking Talis 2013 with PISA 2012 student data," OECD Education Working Papers 115, OECD Publishing.
    10. Petra E. Todd & Kenneth I. Wolpin, 2003. "On The Specification and Estimation of The Production Function for Cognitive Achievement," Economic Journal, Royal Economic Society, vol. 113(485), pages 3-33, February.
    11. Jonah E. Rockoff, 2004. "The Impact of Individual Teachers on Student Achievement: Evidence from Panel Data," American Economic Review, American Economic Association, vol. 94(2), pages 247-252, May.
    12. Alfonso Echazarra & Daniel Salinas & Ildefonso Méndez & Vanessa Denis & Giannina Rech, 2016. "How teachers teach and students learn: Successful strategies for school," OECD Education Working Papers 130, OECD Publishing.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Cordero, Jose M. & Gil-Izquierdo, María, 2018. "The effect of teaching strategies on student achievement: An analysis using TALIS-PISA-link," Journal of Policy Modeling, Elsevier, vol. 40(6), pages 1313-1331.

    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. Cordero, Jose M. & Gil-Izquierdo, María, 2018. "The effect of teaching strategies on student achievement: An analysis using TALIS-PISA-link," Journal of Policy Modeling, Elsevier, vol. 40(6), pages 1313-1331.
    2. Chu, Jessica Hsiaochieh & Loyalka, Prashant & Chu, James & Qu, Qinghe & Shi, Yaojiang & Li, Guirong, 2015. "The impact of teacher credentials on student achievement in China," China Economic Review, Elsevier, vol. 36(C), pages 14-24.
    3. Hidalgo-Cabrillana, Ana & Lopez-Mayan, Cristina, 2018. "Teaching styles and achievement: Student and teacher perspectives," Economics of Education Review, Elsevier, vol. 67(C), pages 184-206.
    4. Bernal, Pedro & Mittag, Nikolas & Qureshi, Javaeria A., 2016. "Estimating effects of school quality using multiple proxies," Labour Economics, Elsevier, vol. 39(C), pages 1-10.
    5. Meghir, Costas & Rivkin, Steven, 2011. "Econometric Methods for Research in Education," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 3, chapter 1, pages 1-87, Elsevier.
    6. Simon Briole, 2019. "From Teacher Quality to Teaching Quality: Instructional Productivity and Teaching Practices in the US," Working Papers halshs-01993616, HAL.
    7. Eric S. Taylor & John H. Tyler, 2011. "The Effect of Evaluation on Performance: Evidence from Longitudinal Student Achievement Data of Mid-career Teachers," NBER Working Papers 16877, National Bureau of Economic Research, Inc.
    8. Douglas Harris & Tim R. Sass, 2006. "The Effects of Teacher Training on Teacher Value Added," Working Papers wp_2006_03_01, Department of Economics, Florida State University.
    9. Johan Coenen & Ilja Cornelisz & Wim Groot & Henriette Maassen van den Brink & Chris Van Klaveren, 2018. "Teacher Characteristics And Their Effects On Student Test Scores: A Systematic Review," Journal of Economic Surveys, Wiley Blackwell, vol. 32(3), pages 848-877, July.
    10. Gilpin, Gregory A., 2012. "Teacher salaries and teacher aptitude: An analysis using quantile regressions," Economics of Education Review, Elsevier, vol. 31(3), pages 15-29.
    11. Goldhaber, Dan & Liddle, Stephanie & Theobald, Roddy, 2013. "The gateway to the profession: Assessing teacher preparation programs based on student achievement," Economics of Education Review, Elsevier, vol. 34(C), pages 29-44.
    12. Marine de Talancé, 2015. "Better Teachers, Better Results? Evidence from Rural Pakistan," Working Papers DT/2015/21, DIAL (Développement, Institutions et Mondialisation).
    13. Zakharov, Andrey & Tsheko, Gaelebale & Carnoy, Martin, 2016. "Do “better” teachers and classroom resources improve student achievement? A causal comparative approach in Kenya, South Africa, and Swaziland," International Journal of Educational Development, Elsevier, vol. 50(C), pages 108-124.
    14. Andrey Zakharov & Martin Carnoy & Prashant Loyalka, 2013. "Which teaching practices improve student performance on high-stakes exams? Evidence from Russia," HSE Working papers WP BRP 13/EDU/2013, National Research University Higher School of Economics.
    15. Martin Schlotter & Guido Schwerdt & Ludger Woessmann, 2011. "Econometric methods for causal evaluation of education policies and practices: a non-technical guide," Education Economics, Taylor & Francis Journals, vol. 19(2), pages 109-137.
    16. Stacy, Brian, 2014. "Ranking Teachers when Teacher Value-Added is Heterogeneous Across Students," EconStor Preprints 104743, ZBW - Leibniz Information Centre for Economics.
    17. Papay, John P. & Kraft, Matthew A., 2015. "Productivity returns to experience in the teacher labor market: Methodological challenges and new evidence on long-term career improvement," Journal of Public Economics, Elsevier, vol. 130(C), pages 105-119.
    18. Montse Gomendio, 2023. "The Level of Skills in Spain: How to Solve the Puzzle using International Surveys," Studies on the Spanish Economy eee2023-35, FEDEA.
    19. Ralph Hippe & Luisa De Sousa Lobo Borges de Araujo & Patricia Dinis Mota da Costa, 2016. "Equity in Education in Europe," JRC Research Reports JRC104595, Joint Research Centre.
    20. Condie, Scott & Lefgren, Lars & Sims, David, 2014. "Teacher heterogeneity, value-added and education policy," Economics of Education Review, Elsevier, vol. 40(C), pages 76-92.

    More about this item

    Keywords

    Education; Teachers; International datasets; Large-scale assessments; PISA.;
    All these keywords.

    JEL classification:

    • H52 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Education
    • 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:pra:mprapa:79781. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.