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Psychology

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Mediation analysis using Bayesian tree ensembles.

Psychological methods
We present a general framework for causal mediation analysis using nonparametric Bayesian methods in the potential outcomes framework. Our model, which we refer to as the Bayesian causal mediation forests model, combines recent advances in Bayesian m...

Using natural language processing and machine learning to replace human content coders.

Psychological methods
Content analysis is a common and flexible technique to quantify and make sense of qualitative data in psychological research. However, the practical implementation of content analysis is extremely labor-intensive and subject to human coder errors. Ap...

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

Psychological methods
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...

Important Correlates of Purpose in Life in a Diverse Population-Based Cohort: A Machine Learning Approach.

The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry
BACKGROUND: Purpose-in-life (PiL) refers to the tendency to derive meaning and purpose from daily life experiences. Individuals with higher PiL were more likely to have better physical, mental, and cognitive health in prospective studies. Here, we ai...

Interpretable machine learning for psychological research: Opportunities and pitfalls.

Psychological methods
In recent years, machine learning methods have become increasingly popular prediction methods in psychology. At the same time, psychological researchers are typically not only interested in making predictions about the dependent variable, but also in...

Everything has its price: Foundations of cost-sensitive machine learning and its application in psychology.

Psychological methods
Psychology has seen an increase in the use of machine learning (ML) methods. In many applications, observations are classified into one of two groups (binary classification). Off-the-shelf classification algorithms assume that the costs of a misclass...

The good, the bad, and the GPT: Reviewing the impact of generative artificial intelligence on psychology.

Current opinion in psychology
This review explores the impact of Generative Artificial Intelligence (GenAI)-a technology capable of autonomously creating new content, ideas, or solutions by learning from extensive data-on psychology. GenAI is changing research methodologies, diag...

Machines, psychology, and hypothesis generation: Commentary on Banker et al. (2024).

The American psychologist
Advances in machine learning and artificial intelligence are revolutionizing many aspects of human life, and as Banker et al. (2024) illustrate, generative artificial intelligence may also facilitate hypothesis generation in academic research. But wh...

The revolution of generative artificial intelligence in psychology: The interweaving of behavior, consciousness, and ethics.

Acta psychologica
In recent years, there have been unparalleled prospects for psychological study due to the swift advancement of generative artificial intelligence (AI) in natural language processing, shown by ChatGPT. This review article looks into the uses and effe...