scholarly journals A semiparametric approach for item response function estimation to detect item misfit

2020 ◽  
Author(s):  
Carmen Köhler ◽  
Alexander Robitzsch ◽  
Katharina Fährmann ◽  
Matthias Davier ◽  
Johannes Hartig
Keyword(s):  
Item Response ◽  
Response Function ◽  
Function Estimation ◽  
Semiparametric Approach ◽  
Item Response Function ◽  
Response Function Estimation

A Kernel-Smoothed Version of SIBTEST With Applications to Local DIF Inference and Function Estimation

1996 ◽  
Vol 21 (4) ◽  
pp. 333-363 ◽  
Author(s):  
Jeffrey A. Douglas ◽  
William Stout ◽  
Louis V. DiBello
Keyword(s):  
Data Analysis ◽  
Item Response ◽  
Kernel Smoothing ◽  
Latent Trait ◽  
Real Data ◽  
Estimation Bias ◽  
Function Estimation ◽  
Item Response Function ◽  
And Function ◽  
Response Function Estimation

Smoothed SIBTEST, a nonparametric DIF detection procedure, amalgamates SIBTEST and kernel-smoothed item response function estimation. This procedure assesses DIF as a function of the latent trait θ that the test is designed to measure. Smoothed SIBTEST estimates this Junction with increased efficiency, as compared to SIBTEST, while providing hypothesis tests of local and global DIF. By means of kernel smoothing, smoothed SIBTEST reduces noise in local DIF estimation while retaining SIBTEST’s reduction of group-ability-difference-induced DIF estimation bias via use of regression-corrected estimates of ability as design points in the kernel smoothing. By contrast with most nonparametric procedures, matched examinee score cells are not needed, so sparse cell problems are avoided. The performance of smoothed SIBTEST is studied via simulation and real data analysis.

Response Function Estimation Using the Equity Estimator

1991 ◽  
Vol 28 (1) ◽  
pp. 72 ◽  
Author(s):  
Arvind Rangaswamy ◽  
Lakshman Krishnamurthi
Keyword(s):  
Response Function ◽  
Function Estimation ◽  
Response Function Estimation
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