Item Analysis of Single-Peaked Response Data

Research output: Types of ThesisDoctoral ThesisExternal

Abstract

The thesis explains the fundamental difference between unipolar and bipolar measurement scales for psychological characteristics. We explore the use of correspondence analysis (CA), a technique that is similar to principal component analysis and is available in SAS and SPSS, to select items that together form a bipolar scale. CA estimates both item locations and subject locations and is a useful tool in the psychometric evaluation of bipolar measurement scales. Additionally we present a new methodology (OCM) to estimate item response functions of single-peaked items with a model-free approach.
Original languageEnglish
Awarding Institution
  • Rijksuniversiteit Leiden
Supervisors/Advisors
  • Heiser, Supervisor
  • De Rooij, Co-supervisor
Award date26 May 2011
Place of PublicationLeiden, The Netherlands
Print ISBNs9789461690807
Publication statusPublished - 26 May 2011

Bibliographical note

With Summary in Dutch

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