Conditional Pairwise Person Parameter Estimates in Rasch Models

TY - JOUR

T1 - Conditional Pairwise Person Parameter Estimates in Rasch Models

AU - Kreiner, Svend

PY - 2012

Y1 - 2012

N2 - Conditional pairwise estimates parameters in Rasch models separate inference on item parameters from inference on person parameters. Pairwise item parameter estimates are consistent when sample size approaches infinity, but adds an extra random error to estimation compared to conditional maximum likelihood estimates. Pairwise estimates of person parameters are easily calculated, but can rarely be assumed to be consistent since the number of items is often small and the properties of the estimates generally unknown. This note gives results from a study of conditional pairwise estimation of person parameters and suggests a modification of the estimate that takes care of some of the error.

AB - Conditional pairwise estimates parameters in Rasch models separate inference on item parameters from inference on person parameters. Pairwise item parameter estimates are consistent when sample size approaches infinity, but adds an extra random error to estimation compared to conditional maximum likelihood estimates. Pairwise estimates of person parameters are easily calculated, but can rarely be assumed to be consistent since the number of items is often small and the properties of the estimates generally unknown. This note gives results from a study of conditional pairwise estimation of person parameters and suggests a modification of the estimate that takes care of some of the error.

M3 - Journal article

SN - 1529-7713

VL - 13

SP - 314

EP - 320

JO - Journal of Applied Measurement

JF - Journal of Applied Measurement

IS - 4

ER -