Session Information
09 SES 10 A, Structure and Determinants of Multiple Competencies of Grade 4 Learners: Findings from PIRLS/TIMSS 2011 combined – PART 2
Symposium
Contribution
In 2011, the TIMSS and PIRLS studies were conducted jointly, with a shared representative sample of German grade 4 students. The dataset is unique and can be used for studying and discovering the mutual structure of the educational achievement domains, such as the reading purposes in PIRLS and the content domains in TIMSS. In this paper, we apply nonparametric, as compared to a parametric approach hence more robust and general, dimensionality assessment procedures, to statistically validate the postulated reading, mathematics, and science domains and subdomains in PIRLS and TIMSS. Approaches implemented in the software DIMPACK and mokken based on nonparametric modeling of the underlying dimensionality structure are applied and compared using the PIRLS/TIMSS sample. We also study whether there is statistical evidence for the more fine-grained cognitive demands and comprehension processes presupposed in those studies. Solutions based on one, three, eight, and ten dimensions for the PIRLS/TIMSS data composition are compared regarding their relationships and possible preferences are outlined. A robust statistical approximation of the dimensionality structure may also provide valuable insights when extended to a longitudinal or multi-group analysis of dimensionality, across different assessment cycles or subgroups, respectively.
Method
Search the ECER Programme
- Search for keywords and phrases in "Text Search"
- Restrict in which part of the abstracts to search in "Where to search"
- Search for authors and in the respective field.
- For planning your conference attendance you may want to use the conference app, which will be issued some weeks before the conference
- If you are a session chair, best look up your chairing duties in the conference system (Conftool) or the app.