
Gabriela LunanskyUniversity of Amsterdam | UVA · Department of Psychological Methods
Gabriela Lunansky
PhD
About
19
Publications
9,550
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
308
Citations
Citations since 2017
Introduction
I am a postdoctoral researcher at the University of Amsterdam, studying resilience from a complex systems perspective.
Skills and Expertise
Publications
Publications (19)
(For an interactive summary of the paper, see our web app: https://gabylunansky.shinyapps.io/PRPmodel/).
Network theories have been put forward for psychopathology (in which mental disorders originate from causal relations between symptoms) and for personality (in which personality factors originate from coupled equilibria of cognitions, affect s...
Network analysis is a method used to explore the structural relationships between people or organizations, and more recently between psychological constructs. Network analysis is a novel technique that can be used to model psychological constructs that influence language learning as complex systems, with longitudinal data, or cross-sectional data....
To understand how compliance develops both in everyday and corporate
environments, it is crucial to understand how different mechanisms work together to
shape individuals’ (non)compliant behavior. Existing compliance studies typically focus
on a subset of theories (i.e., rational choice theories, social theories, legitimacy
theories, capacity theor...
Statistical network models describing multivariate dependency structures in psychological data have gained increasing popularity. Such comparably novel statistical techniques require specific guidelines to make them accessible to the research community. So far, researchers have provided tutorials guiding the estimation of networks and their accurac...
Resilience refers to the ability to return to normal psychological functioning despite facing adversity. It remains an open question how to anticipate and study resilience, due to its dynamic and multifactorial nature. This paper presents a novel formalized simulation framework for studying resilience from a complex systems perspective. From this v...
Identifying the different influences of symptoms in dynamic psychopathology models may hold promise for increasing treatment efficacy in clinical applications. Dynamic psychopathology models study the behavioral patterns of symptom networks, where symptoms mutually enforce each other. Interventions could be tailored to specific symptoms that are mo...
Background. Why does adversity lead to mental health complaints in some, but not others? Individual differences in the development of depressive complaints are related to the regulation of affect states. The COVID-19 pandemic has caused a prolonged period of perturbations to the daily lives of people across the globe, providing an unparalleled oppo...
Identifying the different influences of symptoms in dynamic psychopathology models may hold promise for increasing treatment efficacy in clinical applications. Dynamic psychopathology models study the behavioral patterns of symptom networks, where symptoms mutually enforce each other. Interventions could be tailored to specific symptoms that are mo...
Background
Due to the COVID-19 pandemic, Argentina has been under mandatory quarantine. We have aimed to investigate the state of mental health of the Argentine population and the behaviours adopted to cope with mental distress during quarantine.
Method
An online survey was conducted using a probabilistic sampling technique and stratified accordin...
Inspired by modeling approaches from the ecosystems literature, in this paper, we expand the network approach to psychopathology with risk and protective factors to arrive at an integrated analysis of resilience. We take a complexity approach to investigate the multifactorial nature of resilience and present a system in which a network of interacti...
Statistical network models describing multivariate dependency structures in psychological data have gained increasing popularity. Such comparably novel statistical techniques require specific guidelines to make them accessible to the research community. In this literature, researchers have previously provided tutorials guiding the estimation of net...
Network theories have been put forward for psychopathology (in which mental disorders originate from causal relations between symptoms) and for personality (in which personality factors originate from coupled equilibria of cognitions, affect states, behaviours, and environments). Here, we connect these theoretical strands in an over-arching persona...
Resilience is still often viewed as a unitary personality construct that, as a kind of antinosological entity, protects individuals against stress-related mental problems. However, increasing evidence indicates that maintaining mental health in the face of adversity results from complex and dynamic processes of adaptation to stressors that involve...
(Accepted version before proof). Resilience is still often viewed as a unitary personality construct that, as a kind of anti-nosological entity, protects individuals against stress-related mental problems. However, increasing evidence indicates that the maintenance of mental health in the face of adversity results from complex and dynamic processes...
We outline a network method to synthesize a literature overview from search results obtained by
multiple
team members. Several network statistics are used to create a single representativeness ranking.
We illustrate
the method with the dispersed literature on a common misinterpretation of analysis of
covariance
(ANCOVA). The network method yields a...