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ERIC Number: EJ915382
Record Type: Journal
Publication Date: 2011
Pages: 32
Abstractor: As Provided
Reference Count: 31
ISSN: ISSN-0027-3171
Robust Mokken Scale Analysis by Means of the Forward Search Algorithm for Outlier Detection
Zijlstra, Wobbe P.; van der Ark, L. Andries; Sijtsma, Klaas
Multivariate Behavioral Research, v46 n1 p58-89 2011
Exploratory Mokken scale analysis (MSA) is a popular method for identifying scales from larger sets of items. As with any statistical method, in MSA the presence of outliers in the data may result in biased results and wrong conclusions. The forward search algorithm is a robust diagnostic method for outlier detection, which we adapt here to identify outliers in MSA. This adaptation involves choices with respect to the algorithm's objective function, selection of items from samples without outliers, and scalability criteria to be used in the forward search algorithm. The application of the adapted forward search algorithm for MSA is demonstrated using real data. Recommendations are given for its use in practical scale analysis. (Contains 1 table and 12 figures.)
Psychology Press. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site:
Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A