Results 1 to 10 of about 369,900 (301)

The influence of diversity on the measurement of functional impairment: An international validation of the Amsterdam IADL Questionnaire in eight countries

Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, 2020
Introduction To understand the potential influence of diversity on the measurement of functional impairment in dementia, we aimed to investigate possible bias caused by age, gender, education, and cultural differences. Methods A total of 3571 individuals
Mark A. Dubbelman, Merike Verrijp, David Facal, Gonzalo Sánchez‐Benavides, Laura J.E. Brown, Wiesje M. vander Flier, Hanna Jokinen, Athene Lee, Iracema Leroi, Cristina Lojo‐Seoane, Vuk Milošević, José Luís Molinuevo, Arturo X. Pereiro Rozas, Craig Ritchie, Stephen Salloway, Gemma Stringer, Stelios Zygouris, Bruno Dubois, Stéphane Epelbaum, Philip Scheltens, Sietske A.M. Sikkes   +20 more
doaj   +1 more source

Studi Tentang Dampak Dari Multidimensionalitas Butir Soal Terhadap Estimasi True Skor Dengan Pendekatan Model Bifaktor

Jurnal Pengukuran Psikologi dan Pendidikan Indonesia, 2019
Penelitian ini merupakan penelitian simulasi dimana yang menjadi fokus dalam penelitian ini adalah banyaknya faktor, item dan responden dengan replikasi 50 kali.
Nursakinah Oktaviana Sasmita
doaj   +1 more source

Brief Report: An Evaluation of Item Bias on the Functional Activities Questionnaire. [PDF]

Arch Clin Neuropsychol, 2023
González DA, Clark MJ, Gonzales MM, Benge J.   +3 more
europepmc   +1 more source

Item bias on the geriatric depression scale (GDS): investigating the quality and generalizability of GDS on Chinese and Korean community-dwelling elderly population. [PDF]

BMC Geriatr, 2021
Park IH, Sya'bandari Y, Liu Y.
europepmc   +1 more source

Automated Parallel Test Forms Assembly Using Integer Programming With Logistic Item Exposure Penalties to Balance the Number of Test Forms While Minimizing Item Exposure Bias

IEEE Access
Recent studies have explored several techniques using AI technologies to assemble numerous parallel test forms, for which each form has equivalent measurement accuracy but each has a different set of items from the item pool.
Kazuma Fuchimoto, Maomi Ueno
doaj   +1 more source

Linking Error Estimation in Fixed Item Parameter Calibration: Theory and Application in Large-Scale Assessment Studies

Foundations
In fixed item parameter calibration (FIPC), an item response theory (IRT) model is estimated with item parameters fixed at reference values to estimate the distribution parameters within a specific group.
Alexander Robitzsch
doaj   +1 more source

Exploring reporting quality of systematic reviews and Meta-analyses on nursing interventions in patients with Alzheimer’s disease before and after PRISMA introduction

BMC Medical Research Methodology, 2018
Background Systematic reviews (SRs) and meta-analyses (MAs) are distillation of current best available evidence, but are potentially prone to bias. The bias of SRs and MAs comes from sampling bias, selection bias and within study bias.
Xiao Sun, Xiaobin Zhou, Yan Yu, Haihua Liu   +3 more
doaj   +1 more source

A Dual-Adversarial Learning Framework with Explicit Constraints for Two-Sided Fairness in Recommendation System

Open Information Science
Recommendation systems frequently exhibit two fundamental types of bias: user-side bias, where recommendations discriminate based on protected attributes such as gender, and item-side bias, where popular items dominate exposure irrespective of their ...
Karboua Sabrina, Harrag Fouzi, Meziane Farid   +2 more
doaj   +1 more source

An overview of differential item functioning in multistage computer adaptive testing using three-parameter logistic item response theory

Language Testing in Asia, 2017
As perfectly summarised by Ida Lawrence, “Testing is growing by leaps and bounds across the world. There is a realization that a nation’s well-being depends crucially on the educational achievement of its population.
Karim Sadeghi, Zainab Abolfazli Khonbi
doaj   +1 more source

Bias-Corrected Root Mean Square Deviation Estimators

Foundations
The root mean square deviation (RMSD) is a widely used item fit statistic in item response models. However, the sample RMSD is known to exhibit positive bias in small samples. To address this, seven alternative bias-corrected RMSD estimators are proposed
Alexander Robitzsch
doaj   +1 more source