Impact of Missing Data on Rasch Model Estimations

This study aims to investigate the effect of methods to deal with missing data on item difficulty estimations under different test length conditions and sampling sizes. In this line, a data set including 10, 20 and 40 items with 100 and 5000 sampling size was prepared. Deletion process was applied a...

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Bibliographische Detailangaben

Hauptverfasser:	Soysal, Sümeyra, Arikan, Çigdem Akin, Inal, Hatice
Format:	Artikel
Sprache:	eng
Schlagworte:	Data Analysis Difficulty Level Error of Measurement Evaluation Criteria Item Response Theory Research Problems Sample Size Sampling Test Items
Online-Zugang:	Volltext bestellen
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