Results 281 to 290 of about 1,114,312 (344)

Visual working memory prioritization modulates serial dependence beyond simple attentional effects. [PDF]

BMC Biol
Andriushchenko E, Chetverikov A, Campana G.   +2 more
europepmc   +1 more source

Can AI assess literature like experts? An entropy-based comparison of ChatGPT-4o, DeepSeek R1, and human ratings. [PDF]

Front Res Metr Anal
Zhou Y, Hu H.
europepmc   +1 more source

Positive-Unlabeled Learning in Implicit Feedback from Data Missing-Not-At-Random Perspective. [PDF]

Entropy (Basel)
Wang S, Xia T, Yang L.
europepmc   +1 more source

Differences in Inter-Item Salience at Encoding Produce Imbalanced Attentional and Representational Visual Working Memory Biases

Ryan Williams, Susanne Ferber
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Standard Errors for Reliability Coefficients. [PDF]

Psychometrika
van der Ark LA.
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Effectiveness of Thoracic Spine Manipulation for the Management of Neck Pain: A Systematic Umbrella Review with Risk of Bias and Methodological and Reporting Quality. [PDF]

Healthcare (Basel)
Masaracchio M, Kirker K, Dewan B, Caronia S.   +3 more
europepmc   +1 more source

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Investigating Item Bias in a CS1 Exam with Differential Item Functioning

Proceedings of the 52nd ACM Technical Symposium on Computer Science Education, 2021
Reliable and valid exams are a crucial part of both sound research design and trustworthy assessment of student knowledge. Assessing and addressing item bias is a crucial step in building a validity argument for any assessment instrument. Despite calls for valid assessment tools in CS, item bias is rarely investigated.
Matt J. Davidson, Brett Wortzman, Amy J. Ko, Min Li   +3 more
openaire   +1 more source

Reducing Item-Specific Nonresponse Bias

The Journal of Experimental Education, 1978
This article describes a method of dealing with partially-responded-to questionnaires in survey research which utilizes nonparametric Bayesian discriminant analysis to predict missing responses based on “profiles” of the partial and the “complete” respondents. Some background of nonresponse bias in survey research is discussed, and two other methods of
Norval F. Pohl, Albert V. Bruno
openaire   +1 more source