Results 51 to 60 of about 2,443,182 (340)
Large-scale Assessments in Education, 2023 Background Examinees may not make enough effort when responding to test items if the assessment has no consequence for them. These disengaged responses can be problematic in low-stakes, large-scale assessments because they can bias item parameter ...
Huan Kuang, Fusun Sahin
doaj +1 more source
Brain magnetic resonance imaging predictors in anti‐N‐methyl‐D‐aspartate receptor encephalitis
Annals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 1974-1984, December 2022., 2022 Abstract Objective Brain magnetic resonance imaging (MRI) findings in anti‐N‐methyl‐D‐aspartate receptor (NMDAR) encephalitis are nonspecific and rarely have obvious associations with clinical characteristics and outcomes. This study aimed to comprehensively describe the MRI features of patients with NMDAR encephalitis, examine their associations with ...
Ying‐Ying Zhao +8 more
wiley +1 more source
Cultural bias in the SON-R test: comparative study of Brazilian and dutch children
Psicologia: Teoria e PesquisaThe present study, including 83 Brazilian and 51 Dutch children, evaluated the presence of cultural bias in items of the SON-R 5½-17 that make use of concrete objects and situations. Two procedures were followed to detect item bias.
Peter J. Tellegen, Jacob A. Laros
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International Journal of Assessment Tools in Education, 2019 Thepurpose of this study is to determine whether English test items ofUndergraduate Placement Exam (UPE) in 2016 containdifferential item functioning (DIF) and differential bundle functioning (DBF)in terms of gender and school type and examine the ...
Rabia Akcan, Kübra Atalay Kabasakal
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Exploring Language Patterns in a Medical Licensure Exam Item Bank [PDF]
arXiv, 2021 This study examines the use of natural language processing (NLP) models to evaluate whether language patterns used by item writers in a medical licensure exam might contain evidence of biased or stereotypical language. This type of bias in item language choices can be particularly impactful for items in a medical licensure assessment, as it could pose ...
arxiv
Unraveling Mycobacterium tuberculosis acid resistance and pH homeostasis mechanisms
FEBS Letters, EarlyView.Mycobacterium tuberculosis exhibits a remarkable resilience to acid stress. In this Review, we discuss some of the molecular mechanisms and metabolic pathways used by the tubercle bacilli to adapt and resist host‐mediated acid stress. Mycobacterium tuberculosis (Mtb) is a successful pathogen that has developed a variety of strategies to survive and ...
Janïs Laudouze +3 more
wiley +1 more source
Comparative Study of Some Item Bias Detection Methods [PDF]
Journal of Islamic Studies, 1998 Several methods of item bias detection indices were introduced in the last decades. The IRT methods were said to be more elegant compared to others. However, due to some practical difficulties, the search for an alternative method is necessary.
Abdullah A. AI-Qataee
doaj
Popularity Bias Is Not Always Evil: Disentangling Benign and Harmful Bias for Recommendation [PDF]
arXiv, 2021 Recommender system usually suffers from severe popularity bias -- the collected interaction data usually exhibits quite imbalanced or even long-tailed distribution over items. Such skewed distribution may result from the users' conformity to the group, which deviates from reflecting users' true preference.
arxiv
The power of microRNA regulation—insights into immunity and metabolism
FEBS Letters, EarlyView.MicroRNAs are emerging as crucial regulators at the intersection of metabolism and immunity. This review examines how miRNAs coordinate glucose and lipid metabolism while simultaneously modulating T‐cell development and immune responses. Moreover, it highlights how cutting‐edge artificial intelligence applications can identify miRNA biomarkers ...
Stefania Oliveto +2 more
wiley +1 more source
Bias factors in mathematics achievement tests among Israeli students from the Former Soviet Union
Cogent Education, 2016 This study explains mathematical difficulties of students who immigrated from the Former Soviet Union (FSU) vis-à-vis Israeli students, by identifying the existing bias factors in achievement tests.
Michal Levi-Keren
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