The Benefits of Fixed Item Parameter Calibration for Parameter Accuracy in Small Sample Situations in Large‐Scale Assessments PISA IRT LSA

Author(s):

Konig, Christoph; Khorramdel, Lale; Yamamoto, Kentaro; Frey, Andreas

Publication Year:

2021

Source:

Educational Measurement: Issues and Practice, v40 n1 p17-27, Spr 2021

Document Type:

Article

Page Count:

12

Subject/Key Words:

Programme for International Student Assessment (PISA), Large-Scale Assessments (LSA), Item Response Theory (IRT), Item Parameter Estimation, Latent Trait, Item Calibration, Small Sample, Field Trials

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• https://doi.org/10.1111/emip.12381