Results 281 to 290 of about 227,093 (297)
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An information-theoretic approach to build hypergraphs in psychometrics
Behavior Research Methods, 2022Psychological network approaches propose to see symptoms or questionnaire items as interconnected nodes, with links between them reflecting pairwise statistical dependencies evaluated on cross-sectional, time-series, or panel data.
D. Marinazzo +7 more
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Large Language Model Psychometrics: A Systematic Review of Evaluation, Validation, and Enhancement
arXiv.orgThe advancement of large language models (LLMs) has outpaced traditional evaluation methodologies. This progress presents novel challenges, such as measuring human-like psychological constructs, moving beyond static and task-specific benchmarks, and ...
Haoran Ye +4 more
semanticscholar +1 more source
Thorndike’s Credo: Metaphysics in psychometrics
Theory & psychology, 2020Endorsing a priori the conviction that any science worthy of the name must measure the attributes it investigates, psychometricians adopted a metaphysical paradigm (without acknowledging it as such) to secure its claim that mental tests measure ...
J. Michell
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Measuring Human and AI Values based on Generative Psychometrics with Large Language Models
AAAI Conference on Artificial IntelligenceHuman values and their measurement are long-standing interdisciplinary inquiry. Recent advances in AI have sparked renewed interest in this area, with large language models (LLMs) emerging as both tools and subjects of value measurement.
Haoran Ye +5 more
semanticscholar +1 more source
Generalized Network Psychometrics: Combining Network and Latent Variable Models
Psychometrika, 2016We introduce the network model as a formal psychometric model, conceptualizing the covariance between psychometric indicators as resulting from pairwise interactions between observable variables in a network structure.
S. Epskamp, M. Rhemtulla, D. Borsboom
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Technometrics, 2020
The monograph belongs to the series “Use R!” and presents a compendium of classical and modern statistical techniques used in psychometrics, with their implementations in R packages demonstrated by...
S. Lipovetsky
semanticscholar +1 more source
The monograph belongs to the series “Use R!” and presents a compendium of classical and modern statistical techniques used in psychometrics, with their implementations in R packages demonstrated by...
S. Lipovetsky
semanticscholar +1 more source
, 2016
This chapter provides a general introduction of network modeling in psychometrics. The chapter starts with an introduction to the statistical model formulation of pairwise Markov random fields (PMRF), followed by an introduction of the PMRF suitable for ...
S. Epskamp +3 more
semanticscholar +1 more source
This chapter provides a general introduction of network modeling in psychometrics. The chapter starts with an introduction to the statistical model formulation of pairwise Markov random fields (PMRF), followed by an introduction of the PMRF suitable for ...
S. Epskamp +3 more
semanticscholar +1 more source
Psychometrics and diagnostics of Italian cognitive screening tests: a systematic review
Neurological Sciences, 2021E. Aiello +4 more
semanticscholar +1 more source
Algorithmic psychometrics and the scalable subject
Social Studies of Science, 2018Luke Stark
semanticscholar +1 more source

