A Comparison of IRT Observed Score Kernel Equating and Several Equating Methods [PDF]
Item response theory (IRT) observed score kernel equating was evaluated and compared with equipercentile equating, IRT observed score equating, and kernel equating methods by varying the sample size and test length.
Minqiang Zhang
exaly +4 more sources
Harmonizing the CBCL and SDQ ADHD scores by using linear equating, kernel equating, item response theory and machine learning methods [PDF]
IntroductionA problem that applied researchers and practitioners often face is the fact that different institutions within research consortia use different scales to evaluate the same construct which makes comparison of the results and pooling ...
Stephanie M van den Berg +2 more
exaly +4 more sources
How Important is the Choice of Bandwidth in Kernel Equating? [PDF]
Kernel equating uses kernel smoothing techniques to continuize the discrete score distributions when equating test scores from an assessment test. The degree of smoothness of the continuous approximations is determined by the bandwidth.
Marie Wiberg +2 more
exaly +7 more sources
Efficiency Analysis of Item Response Theory Kernel Equating for Mixed-Format Tests [PDF]
This study aims to evaluate the performance of Item Response Theory (IRT) kernel equating in the context of mixed-format tests by comparing it to IRT observed score equating and kernel equating with log-linear presmoothing.
Marie Wiberg +2 more
exaly +3 more sources
Comparison of Kernel Equating and Kernel Local Equating in Item Response Theory Observed Score Equating [PDF]
The present study aims to compare the Kernel equating and Kernel local equating methods in observed score equating. Functions and error estimates regarding the difference between raw and equated scores and the scores equated by Stocking-Lord and Haebara true-score equating methods in Kernel local equating and Kernel equating were examined in Item ...
Yıldırım-Seheryeli, Merve +3 more
openaire +6 more sources
A Comparative Evaluation of Kernel Equating and Test Characteristic Curve Equating [PDF]
This study compares the kernel equating (KE) and test characteristic curve (TCC) equating methods using the nonequivalent anchor test equating design. In this Monte Carlo study, four independent variables were examined: sample size, test length, average
De Ayala RJ, Smith B, Norman Dvorak R.
exaly +3 more sources
Comparison of Kernel equating methods under NEAT and NEC designs [PDF]
In this study, Kernel test equating methods were compared under NEAT and NEC designs. In NEAT design, Kernel post-stratification and chain equating methods taking into account optimal and large bandwidths were compared.
Şeyma Nur Özsoy, Sevilay Kilmen
doaj +2 more sources
A Comparison of Traditional and Kernel Equating Methods
Inthis study, the equated score results of the kernel equating (KE) methodcompared with the results of traditional equating methods—equipercentile andlinear equating and 9th grade 2009 ÖBBS Form B of Social Sciences and 2009 ÖBBSForm D of Social Sciences
Selahattin Gelbal +1 more
doaj +3 more sources
Local Observed‐Score Kernel Equating
Three local observed‐score kernel equating methods that integrate methods from the local equating and kernel equating frameworks are proposed. The new methods were compared with their earlier counterparts with respect to such measures as bias—as defined by Lord's criterion of equity—and percent relative error.
Wiberg, Marie +2 more
openaire +4 more sources
Performing the Kernel Method of Test Equating with the Package kequate [PDF]
In standardized testing it is important to equate tests in order to ensure that the test takers, regardless of the test version given, obtain a fair test.
Björn Andersson +2 more
doaj +3 more sources

