The Pediatric Evaluation of Disability Inventory-Computer Adaptive Test is an alternative method for describing the adaptive function of children and youth with disabilities using a computer-administered assessment. This study evaluated the performance of the Pediatric Evaluation of Disability Inventory-Computer Adaptive Test with a national sample of children and youth with autism spectrum dis...

A significant problem with most functional data analyses is that of misaligned curves. Without adjustment, even an analysis as simple as estimation of the mean will fail. One common method to synchronize a set of curves involves equating “landmarks” such as peaks or troughs. The landmarks method can work well but will fail if marker events can not be identified or are missing from some curves. ...

Older adults suffer from many cognitive impairments relative to young adults and one of the most established types of age-related cognitive decline is a reduction in memory performance. Memory for single units of information (item memory) have been shown to be less susceptible to cognitive ageing than memory for associations among units of information (associative memory). An associative defici...

A good test set can be reflected in the quality of items. It measure ability takers reasonably even though they are distributed several question packages. This study uses an exploratory, descriptive method to determine equivalence standardized sets science subjects for junior high schools Indonesia. The data were obtained from database Junior High School National Examination results subject Nat...

This Monte Carlo study assessed Type I error in differential item functioning analyses using Lord’s chi-square (LC), Likelihood Ratio Test (LRT), and Mantel-Haenszel (MH) procedure. Two research interests were investigated: response theory (IRT) model specification LC the LRT continuity correction MH enhances literature by investigating correct incorrect model-data fit comparing those results t...

The R package equate (Albano, 2010) contains functions for non-IRT equating under random groups and nonequivalent groups designs. This package vignette introduces these designs and provides an overview of statistical equating with details about each of the supported equating methods. Examples demonstrate the basic functionality of the package.