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Network Psychometrics [PDF]

open access: yesarXiv, 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 binary data: the Ising model.
Epskamp, S.   +3 more
arxiv   +6 more sources

The Role of Psychometrics in Individual Differences Research in Cognition: A Case Study of the AX-CPT [PDF]

open access: yesFrontiers in Psychology, 2017
Investigating individual differences in cognition requires addressing questions not often thought about in standard experimental designs, especially regarding the psychometric properties of the task.
Corentin Gonthier   +2 more
exaly   +5 more sources

Values in Psychometrics [PDF]

open access: yesPerspectives on Psychological Science, 2021
When it originated in the late 19th century, psychometrics was a field with both a scientific and a social mission: Psychometrics provided new methods for research into individual differences and at the same time considered these methods a means of creating a new social order.
Wijsen, Lisa D   +2 more
openaire   +3 more sources

Psychometrics: Trust, but Verify

open access: yesAnesthesia and Analgesia, 2019
There is a continued mandate for practicing evidence-based medicine and the prerequisite rigorous analysis of the comparative effectiveness of alternative treatments. There is also an increasing emphasis on delivering value-based health care. Both these high priorities and their related endeavors require correct information about the outcomes of care ...
Thomas R. Vetter, Catherine Cubbin
exaly   +6 more sources

AI Psychometrics: Assessing the Psychological Profiles of Large Language Models Through Psychometric Inventories. [PDF]

open access: yesPerspect Psychol Sci
We illustrate how standard psychometric inventories originally designed for assessing noncognitive human traits can be repurposed as diagnostic tools to evaluate analogous traits in large language models (LLMs).
Pellert M   +4 more
europepmc   +2 more sources

Computational Psychometrics Approach to Holistic Learning and Assessment Systems

open access: yesFrontiers in Education, 2019
Learning and assessment systems have grown and taken shape to incorporate concepts from both models for assessment and models for learning. In this paper we argue that a third dimension is necessary.
Benjamin Deonovic, Michael Yudelson
exaly   +2 more sources

Computational Psychometrics for the Measurement of Collaborative Problem Solving Skills

open access: yesFrontiers in Psychology, 2017
This paper describes a psychometrically-based approach to the measurement of collaborative problem solving skills, by mining and classifying behavioral data both in real-time and in post-game analyses.
S. Polyak   +2 more
exaly   +2 more sources

The Psychometrics of the Mini-K

open access: yesEvolutionary Psychology, 2017
Many published studies have employed the Mini-K to measure a single fast–slow life history dimension. However, the internal structure of the Mini-K has not been determined and it is not clear that a single higher order K-factor fits the data.
George B. Richardson   +4 more
doaj   +2 more sources

Protocol for a systematic review evaluating psychometric properties and gender-related measurement (non)invariance of self-report assessment tools for autism in adults [PDF]

open access: yesSystematic Reviews
Background Given the recent evidence on gender differences in the presentation of autism, there is an increasing concern that current tools for autism do not adequately capture traits more often found in women. If tools for autism measure autistic traits
Nora Uglik-Marucha   +4 more
doaj   +2 more sources

Unique Variable Analysis: A Network Psychometrics Method to Detect Local Dependence

open access: yesMultivariate Behavioral Research, 2023
The local independence assumption states that variables are unrelated after conditioning on a latent variable. Common problems that arise from violations of this assumption include model misspecification, biased model parameters, and inaccurate estimates
A. Christensen   +2 more
semanticscholar   +1 more source

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