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- W1966829475 abstract "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." @default.
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- W1966829475 date "2011-02-07" @default.
- W1966829475 modified "2023-10-16" @default.
- W1966829475 title "Robust Mokken Scale Analysis by Means of the Forward Search Algorithm for Outlier Detection" @default.
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- W1966829475 doi "https://doi.org/10.1080/00273171.2011.544227" @default.
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