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Contribution to Book
Scaling Procedures for ICILS Questionnaire Items
ICILS Test Development , International Computer and Information Literacy Study: ICILS 2013: Technical Report (2015)
  • Wolfram Schulz, ACER
  • Tim Friedman, ACER
Abstract
This chapter describes the procedures used to scale the ICILS questionnaire data (for students, teachers, school principals, and ICT coordinators) and the indices based on them. Two general types of indices could be distinguished, both of which derived from the ICILS questionnaires: 1. Simple indices constructed through arithmetical transformation or simple recoding, for example, ratios between ICT and students or an index of immigration background based on information about the country of birth of students and their parents; and 2. Scale indices derived from scaling of items, a process typically achieved by using item response modeling of dichotomous or Likert-type items. The first part of this chapter describes the simple indices derived from the ICILS questionnaire data and the procedures applied to create them. The second part outlines the scaling procedures used in ICILS. The third and final part provides a detailed description of scaled indices, along with statistical information on item parameters, scale reliabilities, and the factor structure of related item sets.
Keywords
  • ICILS questionnaires,
  • Information literacy,
  • Computer literacy,
  • Questionnaire data,
  • Simple indices,
  • Scaling procedures,
  • Item response modeling,
  • Scaled indices,
  • ICT
Publication Date
January 1, 2015
Editor
Julian Fraillon, Wolfram Schulz, Tim Friedman, John Ainley, and Eveline Gebhardt
Publisher
International Association for the Evaluation of Educational Achievement (IEA)
ISBN
9789079549306
Citation Information
Wolfram Schulz and Tim Friedman. "Scaling Procedures for ICILS Questionnaire Items" Amsterdam, the NetherlandsICILS Test Development , International Computer and Information Literacy Study: ICILS 2013: Technical Report (2015)
Available at: http://works.bepress.com/tim_friedman/29/