Persistent URL of this record https://hdl.handle.net/1887/17697
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- Title pages_contents
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- Chapter 3
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Item analysis of single-peaked response data : the psychometric evaluation of bipolar measurement scales
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.
- All authors
- Polak, M.G.
- Supervisor
- Heiser, W.J.
- Co-supervisor
- Rooij, M.J. de
- Qualification
- Doctor (dr.)
- Awarding Institution
- Faculty of Social and Behavioural Sciences , Leiden University
- Date
- 2011-05-26
- Publisher
- Rotterdam: Optima
- ISBN
- 9789461690807
Juridical information
- Court
- LEI Universiteit Leiden
Funding
- Sponsorship
- Stichting onderzoeksfonds Ontwikkelingsprofiel, Amsterdam Stichting Psychoanalytische Fondsen, Amsterdam