Browsing CEMO Centre for Educational Measurement by Author "Rutkowski, David"

Now showing items 1-6 of 6

  • Causal inferences with large scale assessment data: using a validity framework 
    Rutkowski, David; Delandshere, Ginette (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2016)
    To answer the calls for stronger evidence by the policy community, educational researchers and their associated organizations increasingly demand more studies that can yield causal inferences. International large scale ...
  • Exemption or Exclusion? A study of student exclusion in PISA in Norway 
    Aursand, Leah; Rutkowski, David (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2020)
    In recent years, exclusion rates in PISA have risen in many countries, including a sharper-than-average rise in Norway. This article focuses on Norway’s experience with exclusion rates in PISA, including an analysis tracking ...
  • Improving international assessment through evaluation 
    Rutkowski, David (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2017)
    In this article I advocate for a new discussion in the field of international large-scale assessments; one that calls for a reexamination of international large-scale assessments (ILSAs) and their use. Expanding on the ...
  • lsasim: an R package for simulating large-scale assessment data 
    Matta, Tyler H; Rutkowski, Leslie; Rutkowski, David; Liaw, Yuan-Ling (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2018)
    This article provides an overview of the R package lsasim, designed to facilitate the generation of data that mimics a large scale assessment context. The package features functions for simulating achievement data according ...
  • Poverty and educational achievement in the U.S.: A less biased estimate using PISA 2012 data 
    Rutkowski, David; Rutkowski, Leslie; Wild, J.; Burroughs, N. (Journal article / Tidsskriftartikkel / SubmittedVersion, 2017)
    In the current paper, we employ the most recent Programme for International Student Assessment (PISA) data to calculate a less-biased estimate of poverty on US achievement. The PISA was specifically chosen as it is an ...
  • Running the Wrong Race? The Case of PISA for Development 
    Rutkowski, David; Rutkowski, Leslie (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2021)
    With the aim of developing an assessment more appropriate for low-income countries, in 2013 the Organisation for Economic Co-operation and Development initiated the Programme for International Student Assessment for ...