Network analysis of multivariate data in psychological science

Nature Reviews Methods Primers, Journal Year: 2021, Volume and Issue: 1(1)

Published: Aug. 19, 2021

In recent years, network analysis has been applied to identify and analyse patterns of statistical association in multivariate psychological data. these approaches, nodes represent variables a data set, edges pairwise conditional associations between the data, while conditioning on remaining variables. This Primer provides an anatomy techniques, describes current state art discusses open problems. We relevant structures which may be applied: cross-sectional repeated measures intensive longitudinal then discuss estimation each cases, as well assessment techniques evaluate robustness replicability. Successful applications technique different research areas are highlighted. Finally, we limitations challenges for future research. Network allows investigation complex relationships by examining connecting them. Borsboom et al. adoption

Language: Английский

---

How Computational Modeling Can Force Theory Building in Psychological Science

Perspectives on Psychological Science, Journal Year: 2021, Volume and Issue: 16(4), P. 789 - 802

Published: Jan. 22, 2021

Psychology endeavors to develop theories of human capacities and behaviors on the basis a variety methodologies dependent measures. We argue that one most divisive factors in psychological science is whether researchers choose use computational modeling (over above data) during scientific-inference process. Modeling undervalued yet holds promise for advancing science. The inherent demands guide us toward better by forcing conceptually analyze, specify, formalize intuitions otherwise remain unexamined—what we dub open theory. Constraining our inference process through enables build explanatory predictive theories. Here, present scientific psychology as path function which each step shapes next. Computational can constrain these steps, thus over stewardship experimental practice (e.g., preregistration). If continues eschew modeling, predict more replicability crises persistent failure at coherent theory building. This because without formal lack transparent theorizing. also explain how formalize, implement model, emphasizing advantages be achieved anyone with benefit all.

Language: Английский

---

Lack of Theory Building and Testing Impedes Progress in The Factor and Network Literature

Psychological Inquiry, Journal Year: 2020, Volume and Issue: 31(4), P. 271 - 288

Published: Oct. 1, 2020

The applied social science literature using factor and network models continues to grow rapidly. Most work reads like an exercise in model fitting, falls short of theory building testing three ways. First, statistical theoretical are conflated, leading invalid inferences such as the existence psychological constructs based on models, or recommendations for clinical interventions models. I demonstrate this inferential gap a simulation: excellent fit does little corroborate theory, regardless quality quantity data. Second, researchers fail explicate theories about constructs, but use implicit causal beliefs guide inferences. These latent have led problematic best practices. Third, explicated often weak theories: imprecise descriptions vulnerable hidden assumptions unknowns. Such do not offer precise predictions, it is unclear whether effects actually not. that these challenges common harmful, impede formation, failure, reform. Matching necessary bring data bear theories, renewed focus psychology formalizing offers way forward.

Language: Английский

---

Psychopathological networks: Theory, methods and practice

Behaviour Research and Therapy, Journal Year: 2021, Volume and Issue: 149, P. 104011 - 104011

Published: Dec. 1, 2021

In recent years, network approaches to psychopathology have sparked much debate and had a significant impact on how mental disorders are perceived in the field of clinical psychology. However, there many important challenges moving from theory empirical research practice vice versa. Therefore, this article, we bring together different points view psychological networks by methodologists clinicians give critical overview these challenges, present an agenda for addressing challenges. contrast previous reviews, especially focus methodological issues related temporal networks. This includes topics such as selecting assessing quality nodes network, distinguishing between- within-person effects networks, relating items that measured at time scales, dealing with changes structures. These not only researchers using models data, but also clinicians, who increasingly likely encounter (person-specific) consulting room.

Language: Английский

---

Suicide ideation as a symptom of adolescent depression. a network analysis

Journal of Affective Disorders, Journal Year: 2020, Volume and Issue: 278, P. 68 - 77

Published: Sept. 12, 2020

According to the network perspective, psychopathology is result of interactions between symptoms. A previous study used analysis identify central symptoms adolescent depression. The aim current was replicate and extend this by including suicide ideation as a symptom depression evaluating which are contributing factors in adolescents.A large community sample (N = 5,888) adolescents aged 11-16 years completed Children's Depression Inventory (CDI-2). Network structure CDI-2 were directly related network. Additionally, who did not experience compared.Results pertaining highly similar we aimed replicate. most loneliness, sadness, self-hatred, fatigue, self-deprecation crying. Loneliness explained variance ideation. Adolescents had those do not. with scored higher on all symptoms.The use cross-sectional data indicates that only undirected networks results based between-subject could be estimated.Loneliness factor for also Preventative efforts should consider taking experiences loneliness into account these especially prevalent adolescents. Suicide seems more representative severity

Language: Английский

---

Invisible Hands and Fine Calipers: A Call to Use Formal Theory as a Toolkit for Theory Construction

Perspectives on Psychological Science, Journal Year: 2021, Volume and Issue: 16(4), P. 725 - 743

Published: Feb. 16, 2021

In recent years, a growing chorus of researchers has argued that psychological theory is in state crisis: Theories are rarely developed way indicates an accumulation knowledge. Paul Meehl raised this very concern more than 40 years ago. Yet the ensuing decades, little improved. We aim to chart better path forward for by revisiting Meehl’s criticisms, his proposed solution, and reasons solution failed meaningfully change status theory. argue identified serious shortcomings our evaluation theories would substantially strengthen testing. However, we also provide with tools necessary construct kinds rigorous approach required. To advance theory, must equip allow them generate, evaluate, develop their theories. formal much-needed set tools, equipping thinking, evaluating explanation, enhancing measurement, informing development, promoting collaborative construction

Language: Английский

---

Modeling psychopathology: From data models to formal theories.

Psychological Methods, Journal Year: 2021, Volume and Issue: unknown

Published: Nov. 4, 2021

Over the past decade, there has been a surge of empirical research investigating mental disorders as complex systems. In this article, we investigate how to best make use growing body and move field toward its fundamental aims explaining, predicting, controlling psychopathology. We first review contemporary philosophy science literature on scientific theories argue that fully achieving explanation, prediction, control requires construct formal disorders: expressed in language mathematics or computational programming language. then three routes by which one can findings (i.e., data models) theories: (a) using models themselves theories, (b) infer (c) comparing theory-implied order evaluate refine an existing theory. third approach is most promising path forward. conclude introducing abductive theory construction (AFTC) framework, informed both our methodological investigation. provides clear way forward for inform generation, development, testing domain psychopathology broader psychological science. (PsycInfo Database Record 2023 APA, all rights reserved).

Language: Английский

---

Comorbidity between depression and anxiety: assessing the role of bridge mental states in dynamic psychological networks

BMC Medicine, Journal Year: 2020, Volume and Issue: 18(1)

Published: Sept. 29, 2020

Comorbidity between depressive and anxiety disorders is common. A hypothesis of the network perspective on psychopathology that comorbidity arises due to interplay symptoms shared by both disorders, with overlapping acting as so-called bridges, funneling symptom activation clusters each disorder. This study investigated this testing whether (i) two mental states "worrying" "feeling irritated" functioned bridges in dynamic state networks individuals depression compared either disorder alone, (ii) or non-overlapping stronger bridges.Data come from Netherlands Study Depression Anxiety (NESDA). total 143 participants met criteria for comorbid (65%), 40 depression-only (18.2%), 37 anxiety-only (16.8%) during any NESDA wave. Participants completed momentary assessments (i.e., states) anxiety, five times a day, 2 weeks (14,185 assessments). First, dynamics were modeled multilevel vector autoregressive model, using Bayesian estimation. Summed average lagged indirect effects through hypothesized bridge groups. Second, we evaluated role all potential states.While summed effect was larger group single groups, differences groups not statistically significant. The difference became more pronounced when only examining recent diagnoses (< 6 months). However, credible intervals scores remained wide. In second analysis, item ("feeling down") acted strongest groups.This empirically examined prominent network-approach first time longitudinal data. No support found irritable" functioning vulnerable anxiety. Potentially, activity can be observed acute symptomatology. If so, these may present interesting targets treatment, but prevention. requires further investigation.

Language: Английский

---

Networks of major depressive disorder: A systematic review

Clinical Psychology Review, Journal Year: 2021, Volume and Issue: 85, P. 102000 - 102000

Published: March 1, 2021

Language: Английский

---

Mapping the timescale of suicidal thinking

Proceedings of the National Academy of Sciences, Journal Year: 2023, Volume and Issue: 120(17)

Published: April 18, 2023

This study aims to identify the timescale of suicidal thinking, leveraging real-time monitoring data and a number different analytic approaches. Participants were 105 adults with past week thoughts who completed 42-d (total observations = 20,255). two forms assessments: traditional assessments (spaced hours apart each day) high-frequency 10 min over 1 h). We found that thinking changes rapidly. Both descriptive statistics Markov-switching models indicated elevated states lasted on average 3 h. Individuals exhibited heterogeneity in how often for long they reported our analyses suggest aspects operated timescales. Continuous-time autoregressive current intent is predictive future levels 2 h, while desire 20 Multiple has shorter duration than desire. Finally, inferences about within-person dynamics basis statistical modeling shown depend frequency at which was sampled. For example, estimated severe as 9.5 whereas shifted 1.4

Language: Английский

---