A5100781717- Mental Health Research Topics
- Child and Adolescent Psychosocial and Emotional Development
- Behavioral Health and Interventions
- Heart Rate Variability and Autonomic Control
- Attachment and Relationship Dynamics
- Statistical Methods and Inference
- Early Childhood Education and Development
- Maternal Mental Health During Pregnancy and Postpartum
- Health disparities and outcomes
- Family Dynamics and Relationships
- Advanced Statistical Modeling Techniques
- Infant Health and Development
- Functional Brain Connectivity Studies
- Power Systems and Renewable Energy
- Complex Systems and Time Series Analysis
- Statistical Methods and Bayesian Inference
- Cognitive Abilities and Testing
- Bariatric Surgery and Outcomes
- EFL/ESL Teaching and Learning
- Parental Involvement in Education
- Integrated Energy Systems Optimization
- Psychometric Methodologies and Testing
- Personality Disorders and Psychopathology
- Gender, Labor, and Family Dynamics
- Gestational Diabetes Research and Management
University of California, Davis
2016-2025
Zunyi Medical University
2024
Universiti Sains Malaysia
2023
McGill University
2023
Chongqing University of Posts and Telecommunications
2021
State Grid Corporation of China (China)
2020
Jilin University of Chemical Technology
2020
Ocean University of China
2017
Duke-NUS Medical School
2016
Pennsylvania State University
2012
With increasing popularity, growth curve modeling is more and often considered as the 1st choice for analyzing longitudinal data. Although approach a good choice, other strategies may directly answer questions of interest. It common to see researchers fit models without considering alterative strategies. In this article we compare 3 approaches data: repeated measures analysis variance, covariance pattern models, models. As all are members general linear mixed model family, they represent...
The current study explored whether fathers and mothers from 195 two-parent U.S. families engaged in a form of activation parenting (i.e., sensitivity, cognitive stimulation, moderate intrusiveness) with their secondborn, 12-month-old infants during 15-min challenging teaching task, to determine if this type interaction was more common among fathers.Mean comparisons showed that were lower on positive regard, stimulation development, detached than mothers.Latent Profile Analyses revealed...
Cortisol is a biomarker of stress reactivity, and its diurnal pattern an indicator general neuroendocrine health. Despite theories conceptualizing marital dyads as dynamic systems wherein spouses are interdependent in their physiology coping, little known about the daily processes which possibly influence each other biological stress. Nineteen heterosexual couples provided saliva samples containing cortisol 4 times day for consecutive days. We used multilevel modeling to examine whether...
Identifying significant predictors of behavioral outcomes is great interest in many psychological studies. Lasso regression, as an alternative to stepwise regression for variable selection, has started gaining traction among psychologists. Yet, further investigation valuable fully understand its performance across various data conditions. Using a Monte Carlo simulation and empirical demonstration, we compared typical datasets varying sample size, predictor sparsity, signal-to-noise ratio. We...
This paper compares the multilevel modelling (MLM) approach and person-specific (PS) in examining autoregressive (AR) relations with intensive longitudinal data. Two simulation studies are conducted to examine influences of sample heterogeneity, time series length, size, distribution individual level AR coefficients on accuracy estimates, both at population level. It is found that MLM generally outperforms PS under two conditions: when has a homogeneous pattern, namely, all individuals...
Empirical Bayes (EB) estimates of the random effects in multilevel models represent how individuals deviate from population averages and are often extracted to detect outliers or used as predictors follow-up analysis. However, little research has examined whether EB indeed reliable valid measures individual traits. In this article, we use statistical theory simulated data show that biased toward zero, a phenomenon known “shrinkage.” The degree shrinkage reliability depend on number factors,...
Recent dimensional models of adversity informed by a neurobiological deficit framework highlights threat and deprivation as core dimensions, whereas an evolutionary, adaptational functional calls attention to harshness unpredictability. This report seeks evaluate integrative model threat, deprivation, unpredictability, drawing on the Fragile Families Study. Confirmatory factor analysis presumed multiple indicators each construct reveals adequate three-factor structure adversity. Theory-based...
In response to the replication and confidence crisis across various empirical disciplines, ensuring validity of research has gained attention. High is crucial for obtaining replicable robust study outcomes when both exploring new questions replicating previous findings. this study, we aimed address issue by developing a comprehensive checklist assist researchers in enhancing monitoring their research. After systematically analyzing findings on validity, list potential items was compiled....
Individuals in both clinical and research settings increasingly provide data across numerous time points. Examples include measurements collected from wearable technology (e.g., accelerometers), psychophysiological measures, coded observations, social media behaviors, daily diary data. When observations are available for each individual, the fall under class of series can be examined within a dynamic systems perspective. We broad overview current analytic methods quantifying relations among...
In this article, we introduce dynamical correlation, a new method for quantifying synchrony between 2 variables with intensive longitudinal data. Dynamical correlation is functional data analysis technique developed to measure the similarity of curves. It has advantages over existing methods studying synchrony, such as multilevel modeling. particular, it nonparametric approach that does not require prespecified form, and places no assumption on homogeneity sample. can be easily estimated...
This research investigates whether and how two fundamental environmental factors-harshness unpredictability-interact in regulating child adolescent development, informed by life-history theory drawing on data from the National Institute of Child Health & Human Development Study Early Care Youth (N = 1,364). life harshness was operationalized as typical level family income-to-needs based six repeated measurements across first 4.5 years early unpredictability random variation using same income...
Scholars argue that volunteering enhances social, physical, and cognitive activities are increasingly valued as people age, which in turn improves older adults' well-being via a host of psychosocial neurobiological mechanisms. This study explicitly tested self-perceptions aging mechanism underlying the mental health benefits volunteering.Using 2-wave data from Health Retirement Study (2008/2010 for Wave 1 2012/2014 2), we analyzed reports pooled sample adults aged 65 or (N = 9,017)....
This article introduces phase resampling, an existing but rarely used surrogate data method for making statistical inferences of Granger causality in frequency domain time series analysis. testing is essential establishing causal relations among variables multivariate dynamic processes. However, the challenging due to nonlinear relation between measures (e.g., partial directed coherence, generalized coherence) and data. Through a simulation study, we demonstrate that resampling general...
Currently, about 10% of infants have a weight for length greater than the 95th percentile their age and sex, which puts them at risk obesity as they grow. In pilot prevention study, primiparous mothers newborn were randomly assigned to control group or S oothe/ leep intervention. Previously, it has been demonstrated that this intervention contributed lower weight‐for‐length percentiles 1 year; aim present study was examine infant behavior diary data collected during Markov modeling used...
Abstract. Intensive longitudinal studies and experience sampling methods are becoming more common in psychology. While they provide a unique opportunity to ask novel questions about within-person processes relating personality, there is lack of specifically built characterize the interplay between traits states. We thus introduce Bayesian multivariate mixed-effects location scale model (M-MELSM). The formulation can simultaneously both personality (the location) states scale) for data...
Abstract The present study investigated physiological synchrony in the parasympathetic nervous system among fathers, mothers, and adolescents during a real‐time family interaction, child characteristics that may moderate level of synchrony. Our sample consisted 191 families with ( M age = 12.4 years) both their parents, who participated triadic conflict discussion. During discussion, respiratory sinus arrhythmia (RSA) was measured for all three members. Multilevel analysis indicated...
Biopsychosocial models of children's socioemotional development highlight the joint influences physiological regulation and parenting practices. Both high low levels baseline respiratory sinus arrhythmia (RSA) have been associated with maladjustment, indicative nonlinear associations. Negative or unsupportive parental responses to emotions are consistently linked internalizing (IP) externalizing problems (EP), although few studies examined how associations vary within families. This study...
Abstract Vector autoregressive (VAR) modelling is widely employed in psychology for time series analyses of dynamic processes. However, the typically short psychological studies can lead to overfitting VAR models, impairing their predictive ability on unseen samples. Cross‐validation (CV) methods are commonly recommended assessing statistical models. it unclear how performance CV affected by characteristics data and fitted In this simulation study, we examine two methods, namely,10‐fold...
Despite considerable interest in the causes and consequences of work‐family conflict, frequent suggestion fertility research that difficulty balancing work family is one factors leading to low rates several developed countries, little uses longitudinal data examine whether women who report their roles go on have fewer subsequent births. This article from National Institute Child Health Human Development Study Early Care ( N = 809) difficulties are associated with Our results provide support...
With the increased use of time series data in human research, ranging from ecological momentary assessments to passively obtained, researchers can explore dynamic processes more than ever before. An important question must ask themselves is, do I think all individuals have similar processes? If not, how different, and what ways? Dr. Peter Molenaar's work set foundation answer these questions by providing insight into individual-level analysis for that are assumed differ across at least some...