A dynamical systems view of psychiatric disorders—theory: a review
Importance Psychiatric disorders may come and go with symptoms changing over a lifetime.
This suggests the need for a paradigm shift in diagnosis and treatment. Here we present a …
This suggests the need for a paradigm shift in diagnosis and treatment. Here we present a …
Emotional (in) stability: Neuroticism is associated with increased variability in negative emotion after all
N Mader, RC Arslan, SC Schmukle… - Proceedings of the …, 2023 - National Acad Sciences
The personality trait neuroticism is tightly linked to mental health, and neurotic people
experience stronger negative emotions in everyday life. But, do their negative emotions also …
experience stronger negative emotions in everyday life. But, do their negative emotions also …
Testing similarity in longitudinal networks: The Individual Network Invariance Test.
RHA Hoekstra, S Epskamp, AA Nierenberg… - Psychological …, 2024 - psycnet.apa.org
The comparison of idiographic network structures to determine the presence of
heterogeneity is a challenging endeavor in many applied settings. Previously, researchers …
heterogeneity is a challenging endeavor in many applied settings. Previously, researchers …
[PDF][PDF] Understanding EMA Data: A Tutorial on Exploring Item Performance in Ecological Momentary Assessment Data
The use of ecological momentary assessment (EMA) data to study individuals in their
everyday lives is popular in many areas of social and life sciences. At the same time, EMA …
everyday lives is popular in many areas of social and life sciences. At the same time, EMA …
The temporal order of emotional, cognitive, and behavioral gains in daily life during treatment of depression.
Objective: Despite the importance for understanding mechanisms of change, little is known
about the order of change in daily life emotions, cognitions, and behaviors during treatment …
about the order of change in daily life emotions, cognitions, and behaviors during treatment …
Non-stationarity in time-series analysis: Modeling stochastic and deterministic trends
Time series analysis is increasingly popular across scientific domains. A key concept in time
series analysis is stationarity, the stability of statistical properties of a time series …
series analysis is stationarity, the stability of statistical properties of a time series …
Unlocking nonlinear dynamics and multistability from intensive longitudinal data: A novel method.
The availability of smart devices has made it possible to collect intensive longitudinal data
(ILD) from individuals, providing a unique opportunity to study the complex dynamics of …
(ILD) from individuals, providing a unique opportunity to study the complex dynamics of …
Skewness and staging: Does the floor effect induce bias in multilevel AR (1) models?
MHM Haqiqatkhah, O Ryan… - Multivariate Behavioral …, 2024 - Taylor & Francis
Multilevel autoregressive models are popular choices for the analysis of intensive
longitudinal data in psychology. Empirical studies have found a positive correlation between …
longitudinal data in psychology. Empirical studies have found a positive correlation between …
[PDF][PDF] Generalizability crisis meets heterogeneity revolution: Determining under which boundary conditions findings replicate and generalize
Intensive longitudinal studies typically examine phenomena that vary across time,
individuals, contexts, and other boundary conditions. This poses challenges to the …
individuals, contexts, and other boundary conditions. This poses challenges to the …
[PDF][PDF] Daily dynamics and weekly rhythms: A tutorial on seasonal ARMA models combined with day-of-week effects
MM Haqiqatkhah, EL Hamaker - 2024 - files.de-1.osf.io
Daily diary data of emotional experiences are typically modeled with a first-order
autoregressive model to account for possible day-to-day dynamics. However, our emotional …
autoregressive model to account for possible day-to-day dynamics. However, our emotional …