IERI Spring Academy 2019

About this Academy

The goals of this Academy are to:

  1. Familiarize participants with the statistical complexities involved in working with and analyzing international large-scale assessment databases
  2. Familiarize participants with the data structure of TIMSS, PIRLS, ICCS and PISA
  3. Familiarize participants with software currently available to take into account statistical and data complexities of these databases
  4. Prepare users to take into account the statistical complexities and complex data structure when using the databases with commercially available software.

The Academy will provide an overview of the structure and contents of these databases, as well as an overview of the main design features of these surveys that are relevant for the analysis of their data.

The topics covered will be the following:

  • Overview of the surveys and available data
  • Review of the background questionnaires
  • Sampling and design issues and implications for the analysis
    • Overview of sampling
    • Sampling variance estimation
    • Assessment design
    • Principles of item response theory
    • Principles of multiple imputations
    • Estimating sampling variance
  • Using the IDB Analyzer to analyze international large-scale assessment data
    • The Merge Module
    • The Analysis Module
  • Using the International Data Explorer
  • Calculating standard errors with complex designs
    • Working with independent and dependent samples
    • Working with composite statistics
  • Combining variables, creating and validating indices

The general day-to-day schedule will include both presentations and hands-on practical assignments. During the last day of the Academy, participants will be expected to make a presentation outlining a research project that makes use of one of the international large-scale assessment databases, and preliminary results.

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