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Document type:
Zeitschriftenaufsatz 
Author(s):
Heine, Jörg-Henrik & Tarnai, Christian 
Title:
Pairwise Rasch model item parameter recovery under sparse data conditions 
Abstract:
In social science research the occurrence of missing values is a prevalent issue. In addition to that the use of multi-level response formats often results in low cell frequencies, especially under the condition of higher proportions of missing values and small datasets. This in turn may lead to problems for parameter identification in probabilistic item response models, applying the Conditional Maximum Likelihood (CML) or Marginal Maximum Likelihood (MML) method. While listwise deletion or pair...    »
 
Journal title:
Psychological Test and Assessment Modeling 
Year:
2015 
Journal volume:
57 
Journal issue:
Pages contribution:
S. 3-36