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Psychological Methods|September 9, 2024
Trying to outrun causality with machine learning: Limitations of model explainability techniques for exploratory researchMatthew J VowelsPsychological Methods|October 14, 2021
Misspecification and unreliable interpretations in psychology and social scienceMatthew J VowelsJournal of Sex Research|August 25, 2021
Is Infidelity Predictable? Using Explainable Machine Learning to Identify the Most Important Predictors of InfidelityLaura M Vowels, Matthew J Vowels, Kristen P MarkPlos One|July 25, 2024
Longitudinal evidence over 2 years of the pandemic shows that poor mental health in people living with obesity may be underestimatedMatthew J Vowels, Laura M Vowels, Jilly Gibson-MillerThe Journal of Sexual Medicine|June 29, 2021
Uncovering the Most Important Factors for Predicting Sexual Desire Using Explainable Machine LearningLaura M Vowels, Matthew J Vowels, Kristen P MarkPsychological Methods|July 22, 2021
Spectral and cross-spectral analysis-A tutorial for psychologists and social scientistsMatthew J Vowels, Laura M Vowels, Nathan D WoodPlos One|October 18, 2018
Using spectral and cross-spectral analysis to identify patterns and synchrony in couples' sexual desireMatthew J Vowels, Kristen P Mark, Laura M Vowels, et al.The British Journal of Clinical Psychology|June 10, 2023
Toward a causal link between attachment styles and mental health during the COVID-19 pandemicLaura M Vowels, Matthew J Vowels, Katherine B Carnelley, et al.PLOS Mental Health|February 9, 2026
The efficacy, feasibility, and technical outcomes of a GPT-4o-based chatbot Amanda for relationship support: A randomized controlled trialLaura M Vowels, Matthew J Vowels, Shannon K Sweeney, et al.Journal of Counseling Psychology|July 3, 2020
What can be learned from couple research: Examining emotional co-regulation processes in face-to-face interactionsPeter Hilpert, Timothy R Brick, Christoph Flückiger, et al.Pageof 2