Christian Bokhove

…the blog that shall not be named

RTP workshops

R workshop
  1. Slides.
  2. R script and data.
Largescale data analysis
The provisional slides will be made available below, after the workshop.
I suggest the following useful pre-reading:
  1. For an overview of what PISA is:
    Hopfenbeck, T., Lenket, J., El Masri, Y., Cantrell, K., Ryan, J., & Baird, J-A. (2017). Lessons Learned from PISA: A Systematic Review of Peer-Reviewed Articles on the Programme for International Student Assessment. Scandinavian Journal of Educational Research. Link
  2. For the multilevel modeling section, it is useful to have a look at modules 1 to 5 from (register). Some of the materials of module 5 will feature; furthermore, the rest of the course is excellent as well.
Please bring your laptop.
It is useful to install some software beforehand, and perhaps already download some data:
  • Make sure you have SPSS, see Don’t forget to run the license wizard.
  • IDB analyzer: this is software from IEA, you will need to register: It is used to deal with the datasets and generates SPSS scripts which will take into account the ‘complex sampling design’.
  • Multilevel software MLwin via There are more packages like those in R, HLM and Mplus but this one should be available to anyone with an account.
  • A spreadsheet like Excel. Although care is needed, still useful for managing data.
  • Some data we might use, and therefore might be useful to already download as the files are rather large, is PISA 2018 data (see and TIMSS 2015 data (at This data is in several parts, note the filenames, as well as for grade 4 and grade 8).
  • Note that all other data files can be downloaded during the session.
  • IMPORTANT: we use this data for teaching purposes, when you use the data for research purposes, you must do an ethics application for secondary data!
%d bloggers like this: