AIMC Topic: Psychometrics

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Let the algorithm speak: How to use neural networks for automatic item generation in psychological scale development.

Psychological methods Feb 16, 2023
Measurement is at the heart of scientific research. As many-perhaps most-psychological constructs cannot be directly observed, there is a steady demand for reliable self-report scales to assess latent constructs. However, scale development is a tedio...
Psychometrics Natural Language Processing Psychology Algorithms Adult Humans Neural Networks, Computer
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How well can an AI chatbot infer personality? Examining psychometric properties of machine-inferred personality scores.

The Journal of applied psychology Feb 6, 2023
The present study explores the plausibility of measuring personality indirectly through an artificial intelligence (AI) chatbot. This chatbot mines various textual features from users' free text responses collected during an online conversation/inter...
Psychometrics Humans Personality Artificial Intelligence Personality Disorders Reproducibility of Results
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Application of machine learning techniques for dementia severity prediction from psychometric tests in the elderly population.

Applied neuropsychology. Adult Jan 1, 2023
Previous research has shown the benefits of early detection and treatment of dementia. This detection is usually performed manually by one or more clinicians based on reports and psychometric testing. Machine learning algorithms provide an alternativ...
Humans Machine Learning Female Male Middle Aged Severity of Illness Index Psychometrics Neuropsychological Tests Aged Cognitive Dysfunction Aged, 80 and over Dementia
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Turning words into numbers: Assessing work attitudes using natural language processing.

The Journal of applied psychology Dec 1, 2022
Researchers and practitioners are often interested in assessing employee attitudes and work perceptions. Although such perceptions are typically measured using Likert surveys or some other closed-end numerical rating format, many organizations also h...
Humans Reproducibility of Results Surveys and Questionnaires Psychometrics Natural Language Processing Attitude
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Using machine-learning strategies to solve psychometric problems.

Scientific reports Nov 7, 2022
Validating scales for clinical use is a common procedure in medicine and psychology. Through the application of computational methods, we present a new strategy for estimating construct validity and criterion validity. XGBoost, Random Forest and Supp...
Psychometrics Support Vector Machine Humans Machine Learning Algorithms
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A Unified Neural Network Framework for Extended Redundancy Analysis.

Psychometrika Mar 24, 2022
Component-based approaches have been regarded as a tool for dimension reduction to predict outcomes from observed variables in regression applications. Extended redundancy analysis (ERA) is one such component-based approach which reduces predictors t...
Machine Learning Algorithms Psychometrics Neural Networks, Computer
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Transformer-Based Deep Neural Language Modeling for Construct-Specific Automatic Item Generation.

Psychometrika Dec 14, 2021
Algorithmic automatic item generation can be used to obtain large quantities of cognitive items in the domains of knowledge and aptitude testing. However, conventional item models used by template-based automatic item generation techniques are not id...
Models, Theoretical Natural Language Processing Language Psychometrics Humans Neural Networks, Computer
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Robust Machine Learning for Treatment Effects in Multilevel Observational Studies Under Cluster-level Unmeasured Confounding.

Psychometrika Oct 15, 2021
Recently, machine learning (ML) methods have been used in causal inference to estimate treatment effects in order to reduce concerns for model mis-specification. However, many ML methods require that all confounders are measured to consistently estim...
Longitudinal Studies Causality Bias Confounding Factors, Epidemiologic Machine Learning Humans Psychometrics Child, Preschool
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A machine learning approach for the factorization of psychometric data with application to the Delis Kaplan Executive Function System.

Scientific reports Aug 19, 2021
While a replicability crisis has shaken psychological sciences, the replicability of multivariate approaches for psychometric data factorization has received little attention. In particular, Exploratory Factor Analysis (EFA) is frequently promoted as...
Middle Aged Psychometrics Adolescent Principal Component Analysis Factor Analysis, Statistical Databases as Topic Young Adult Adult Male Aged Machine Learning Aged, 80 and over Algorithms Female Executive Function Humans
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Maturity of gray matter structures and white matter connectomes, and their relationship with psychiatric symptoms in youth.

Human brain mapping Jul 9, 2021
Brain predicted age difference, or BrainPAD, compares chronological age to an age estimate derived by applying machine learning (ML) to MRI brain data. BrainPAD studies in youth have been relatively limited, often using only a single MRI modality or ...
White Matter Male Nerve Net Age Factors Psychometrics Female Child, Preschool Human Development Humans Diffusion Tensor Imaging Gray Matter Adolescent Young Adult Child Behavioral Symptoms Machine Learning Models, Theoretical Adult
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