A comparison of WINSTEPS and BILOG-MG for vertical scaling with the Rasch model

Mark Pomplun, Md Hafidz Omar, Michael Custer

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

The present study compares vertical scaling results for the Rasch model from BILOG-MG and WINSTEPS. The item and ability parameters for the real and simulated mathematics tests were scaled across five grades, second to sixth. The simulated data were based on real data for a series of mathematics tests for Grades 2 to 6. The results from WINSTEPS and BILOG-MG were compared in terms of differences and correlations between estimated item and ability parameters. Generally, WINSTEPS appeared to capture the individual and mean estimates more accurately, and BILOG-MG captured the standard deviations more accurately. However, because of the many possible variations in vertical scaling studies, the generalizability of these specific findings may be limited. More important, the findings illustrate that choice of software, in addition to data collection and scaling method decisions, influences vertical scaling results.

Original languageEnglish
Pages (from-to)600-616
Number of pages17
JournalEducational and Psychological Measurement
Volume64
Issue number4
DOIs
StatePublished - Aug 2004
Externally publishedYes

Keywords

  • IRT software
  • Large-scale assessment
  • Rasch model
  • Vertical scaling

ASJC Scopus subject areas

  • Education
  • Developmental and Educational Psychology
  • Applied Psychology
  • Applied Mathematics

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