Results 31 to 40 of about 211,787 (378)

On Varying Item Difficulty by Changing the Response Format for a Mathematical Competence Test

open access: yesAustrian Journal of Statistics, 2016
Educational and psychological aptitude and achievement tests employ a variety of different response formats. Today the predominating format is a multiple-choice format with a single correct answer option (at most out of altogether four answer options ...
Christine Hohensinn, Klaus D. Kubinger
doaj   +1 more source

The psychometric house-of-mirrors: the effect of measurement distortions on agent-based models' predictions [PDF]

open access: yes, 2023
Agent-based models (ABMs) often rely on psychometric constructs such as 'opinions', 'stubbornness', 'happiness', etc. The measurement process for these constructs is quite different from the one used in physics as there is no standardized unit of measurement for opinion or happiness.
arxiv   +1 more source

A psychometric appraisal of the DREEM [PDF]

open access: yesBMC Medical Education, 2012
The quality of the Educational environment is a key determinant of a student centred curriculum. Evaluation of the educational environment is an important component of programme appraisal. In order to conduct such evaluation use of a comprehensive, valid and reliable instrument is essential.
Sean Hammond   +4 more
openaire   +4 more sources

Exploration of the Rate of Forgetting as a Domain-Specific Individual Differences Measure

open access: yesFrontiers in Education, 2018
Learners differ in their learning aptitude. Modern computerized fact-learning systems take these individual differences into account by adapting repetition schedules to the learner's characteristics.
Florian Sense   +6 more
doaj   +1 more source

Advances in Computational Psychometrics [PDF]

open access: yesComputational and Mathematical Methods in Medicine, 2015
Advances in computational psychometrics and mathematical methods have been gaining a significant role in both medicine and psychology over these past years. The mainstream in psychometrics is moving towards ever greater use of computational and mathematical modeling techniques.
Pietro Cipresso   +3 more
openaire   +2 more sources

Neurocognitive Psychometrics of Intelligence: How Measurement Advancements Unveiled the Role of Mental Speed in Intelligence Differences

open access: yesCurrent Directions in Psychological Science, 2020
More intelligent individuals typically show faster reaction times. However, individual differences in reaction times do not represent individual differences in a single cognitive process but in multiple cognitive processes.
Anna-Lena Schubert, Gidon T. Frischkorn
semanticscholar   +1 more source

Problems with Centrality Measures in Psychopathology Symptom Networks: Why Network Psychometrics Cannot Escape Psychometric Theory

open access: yesMultivariate Behavioral Research, 2019
Understanding patterns of symptom co-occurrence is one of the most difficult challenges in psychopathology research. Do symptoms co-occur because of a latent factor, or might they directly and causally influence one another?
M. Hallquist   +2 more
semanticscholar   +1 more source

Editorial for the Special Issue “Computational Aspects and Software in Psychometrics II”

open access: yesPsych, 2023
There has been tremendous progress in statistical software in the field of psychometrics in providing open-source solutions [...]
Alexander Robitzsch
doaj   +1 more source

An Introduction to Network Psychometrics: Relating Ising Network Models to Item Response Theory Models

open access: yesMultivariate Behavioral Research, 2018
In recent years, network models have been proposed as an alternative representation of psychometric constructs such as depression. In such models, the covariance between observables (e.g., symptoms like depressed mood, feelings of worthlessness, and ...
M. Marsman   +7 more
semanticscholar   +1 more source

Predicting Human Psychometric Properties Using Computational Language Models [PDF]

open access: yesarXiv, 2022
Transformer-based language models (LMs) continue to achieve state-of-the-art performance on natural language processing (NLP) benchmarks, including tasks designed to mimic human-inspired "commonsense" competencies. To better understand the degree to which LMs can be said to have certain linguistic reasoning skills, researchers are beginning to adapt ...
arxiv  

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