ArticlePsychological methods2019
Uncovering general, shared, and unique temporal patterns in ambulatory assessment data.
Article in Psychological methods, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.
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Who cites it
67 citing papers in PubMed.
- Functional connectivity subtypes during a positive mood induction: Predicting clinical response in a randomized controlled trial of ketamine for treatment-resistant depression.Journal of psychopathology and clinical science · 2025Trial
- Exploring Family Interactions: Heterogeneity in Family Specific Network Models.Family process · 2026Article
- Examining the Potential of Person-centered Temporal Network Models to Individualize Type 1 Diabetes Care.International journal of behavioral medicine · 2026Article
- Group, Subgroup and Person-Specific Longitudinal Associations Between Physical Activity and Affect in Individuals With and Without Depressive and Anxiety Disorders.International journal of methods in psychiatric research · 2026Article
- Gender "in the wild": toward a person-specific behavioral neuroendocrinology.Biology of sex differences · 2026Review
- Connectivity between the central executive and salience networks normalizes with exposure-focused CBT in pediatric anxiety.medRxiv : the preprint server for health sciences · 2026Article
- The Speech Network in Childhood Stuttering: Differences in Functional Connectivity of the Planning and Motor Loops.Neurobiology of language (Cambridge, Mass.) · 2026Article
- Common and uncommon risky drinking patterns in young adulthood uncovered by person-specific computational modeling.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2025Article
- Using behavioural network mapping to investigate dyadic play in girls with congenital adrenal hyperplasia.The British journal of developmental psychology · 2025Article
- Heterogeneity across idiographic network associations among emotion dysregulation, alcohol use, posttraumatic stress symptoms, and intimate partner violence.Journal of traumatic stress · 2025Article
- Unsupervised Model Construction in Continuous-Time.Structural equation modeling : a multidisciplinary journal · 2025Article
- Whole Person Recovery from Substance Use Disorder: A Call for Research Examining a Dynamic Behavioral Ecological Model of Contexts Supportive of Recovery.Addiction research & theory · 2025Article
- Examining Caregiver Practices During Adolescent Outpatient Alcohol Use and Co-Occurring Mental Health Treatment: Protocol for a Dyadic Ecological Momentary Assessment Study.JMIR research protocols · 2024Article
- Integrating dynamic psychophysiological indices across time and contexts: Elucidating mechanisms, risk markers, and intervention targets.Psychophysiology · 2024Review
- Major Problems in Clinical Psychological Science and How to Address them. Introducing a Multimodal Dynamical Network Approach.Cognitive therapy and research · 2024Article
- Heterogeneity in suicide risk: Evidence from personalized dynamic models.Behaviour research and therapy · 2024Article
- Dynamic processes in behavioral activation therapy for anhedonic adolescents: Modeling common and patient-specific relations.Journal of consulting and clinical psychology · 2024Article
- What ergodicity means for you.Developmental cognitive neuroscience · 2024Review
- Better, for worse, or both? Testing environmental sensitivity models with parenting at the level of individual families.Development and psychopathology · 2024Article
- Data-driven connectivity profiles relate to smoking cessation outcomes.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Article
7 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Intensive longitudinal data provide psychological researchers with the potential to better understand individual-level temporal processes. While the collection of such data has become increasingly common, there are a comparatively small number of methods well-suited for analyzing these data, and many methods assume homogeneity across individuals. A recent development rooted in structural equation and vector autoregressive modeling, Subgrouping Group Iterative Multiple Model Estimation (S-GIMME), provides one method for arriving at individual-level models composed of processes shared by the sample, a subset of the sample, and a given individual. As this algorithm was motivated and validated for use with neuroimaging data, its performance is less understood in the context of ambulatory assessment data. Here, we evaluate the performance of the S-GIMME algorithm across various conditions frequently encountered with daily diary (compared to neuroimaging) data; namely, a smaller number of variables, a lower number of time points, and smaller autoregressive effects. We demonstrate, for the first time, the importance of the autoregressive effects in recovering data-generating connections and directions, and the ability to use S-GIMME with lengths of data commonly seen in daily diary studies. We demonstrate the use of S-GIMME with an empirical example evaluating the general, shared, and unique temporal processes associated with a sample of individuals with borderline personality disorder (BPD). Finally, we underscore the need for methods such as S-GIMME moving forward given the increasing use of intensive longitudinal data in psychological research, and the potential for these data to provide novel insights into human behavior and mental health. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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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.