Weighted Guttman errors: Handling ties and two-level data

Open Access
Authors
Publication date 2017
Host editors
  • L.A. van der Ark
  • M. Wiberg
  • S.A. Culpepper
  • J.A. Douglas
  • W.-C. Wang
Book title Quantitative psychology
Book subtitle The 81st Annual Meeting of the Psychometric Society, Asheville, North Carolina, 2016
ISBN
  • 9783319562933
ISBN (electronic)
  • 9783319562940
Series Springer Proceedings in Mathematics & Statistics
Event IMPS, Asheville
Pages (from-to) 183-190
Number of pages 8
Publisher Cham: Springer
Organisations
  • Faculty of Social and Behavioural Sciences (FMG) - Research Institute of Child Development and Education (RICDE)
Abstract We provide an introduction to weighted Guttman errors and discuss two problems in computing weighted Guttman errors that are currently not handled correctly by all software: Handling ties—that is, computing weighted Guttman errors when two items have the same estimated popularity—and computing weighted Guttman errors when the data have a two-level structure. Handling ties can be incorporated easily in existing software. For computing weighted Guttman errors for two-level data, we provide an R function.
Document type Conference contribution
Language English
Published at https://doi.org/10.1007/978-3-319-56294-0_17
Downloads
Weighted Guttman Errors (Final published version)
Permalink to this page
Back