ArticleMultivariate behavioral research
Interpreting Interaction Effects in Generalized Linear Models of Nonlinear Probabilities and Counts.
Article in Multivariate behavioral research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
52 citing papers in PubMed.
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- Are online norms-based alcohol interventions efficacious for college students with higher social anxiety?Alcohol, clinical & experimental research · 2025Trial
- The Drinking Dashboard for alcohol-induced blackout: A randomized pilot trial.Alcohol, clinical & experimental research · 2025Trial
- Effects of very low nicotine cigarettes, e-cigarettes, and nicotine patches on daily own-cigarette abstinence in a randomized controlled switching trial.Drug and alcohol dependence · 2025Trial
- Cumulative Risk and Cumulative Protection: Relative Contributions to Predicting Substance Use, Antisocial Behaviour and Mental Health Across Development.Criminal behaviour and mental health : CBMH · 2025Trial
- Supervisory Alliance as a Moderator of the Effects of Behavioral Rehearsal on TF-CBT Fidelity: Results from a Randomized Trial of Supervision Strategies.Administration and policy in mental health · 2024Trial
- A beta way: A tutorial on Bayesian beta regression for psychological research.Behavior research methods · 2026Article
- Single-Nucleus Transcriptomics of the Mouse Medial Preoptic Area Reveals Sex-Dependent Molecular Signatures of Social Dominance.bioRxiv : the preprint server for biology · 2026Article
- Parental Substance Use Modeling and Monthly Alcohol, Cannabis, and E-Cigarette Use Among Female Adolescents and Young Adults.Translational issues in psychological science · 2026Article
- Testing the robustness of daily associations of affect with alcohol and cannabis use.Journal of psychopathology and clinical science · 2026Article
- Mining the Collaborative Networks: A Machine Learning-Based Approach to Firm Innovation in the Digital Transformation Era.Entropy (Basel, Switzerland) · 2026Article
- Common reporting errors in subgroup analysis: a comparison of interaction and stratified regression models.BMC medical research methodology · 2026Article
- Alcohol and cannabis use predicted by affect-urgency interactions in everyday life.Clinical psychological science : a journal of the Association for Psychological Science · 2026Article
- Effect of fresh-frozen plasma transfusion on intraventricular hemorrhage risk in preterm infants with prolonged APTT: a target trial emulation with causal forest analysis.Frontiers in neuroscience · 2026Article
- Machine learning and Mendelian randomization identify key lifestyle factors in coronary heart disease: A NHANES-Based study.International journal of cardiology. Cardiovascular risk and prevention · 2025Article
- Intergenerational Transmission of Cannabis Use: Testing Genetic Risk and the Mitigating Influences of Parent Positive Behavior Support in Early Childhood.Research on child and adolescent psychopathology · 2025Article
- The Impact of Neighborhood and Family Socioeconomic Status on Adolescents' Internalizing Symptoms: The Mediating Role of Pubertal Development Trajectory.Journal of youth and adolescence · 2025Article
- Density functional theory analysis of the structural, electronic, elastic, phonon dispersion and AIMD properties of KMgXRSC advances · 2025Article
- Registered Report Stage II: A within-person model of distress tolerance and non-suicidal self-injury among adults with recurrent self-injury.Journal of research in personality · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Psychology research frequently involves the study of probabilities and counts. These are typically analyzed using generalized linear models (GLMs), which can produce these quantities via nonlinear transformation of model parameters. Interactions are central within many research applications of these models. To date, typical practice in evaluating interactions for probabilities or counts extends directly from linear approaches, in which evidence of an interaction effect is supported by using the product term coefficient between variables of interest. However, unlike linear models, interaction effects in GLMs describing probabilities and counts are not equal to product terms between predictor variables. Instead, interactions may be functions of the predictors of a model, requiring nontraditional approaches for interpreting these effects accurately. Here, we define interactions as change in a marginal effect of one variable as a function of change in another variable, and describe the use of partial derivatives and discrete differences for quantifying these effects. Using guidelines and simulated examples, we then use these approaches to describe how interaction effects should be estimated and interpreted for GLMs on probability and count scales. We conclude with an example using the Adolescent Brain Cognitive Development Study demonstrating how to correctly evaluate interaction effects in a logistic model.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.