The search for causality: A comparison of different techniques for causal inference graphs.

Kossakowski, Jolanda J.; Waldorp, Lourens J.; Maas, Han L. J. van der

doi:10.1037/met0000390

Cited by 14 publications

(7 citation statements)

References 23 publications

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“…Finally, future research into interventions should be conducted to make stronger causal inferences (Kossakowski et al, 2021).…”

Section: Discussionmentioning

confidence: 99%

A tale of two cities: how a psychological network approach can improve our understanding of local residents’ risk perception of the process industries

Chambon¹,

Dalege²,

Elberse³

et al. 2023

Preprint

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The current study illustrates how an empirical psychological network approach can be employed to shed light onto the interplay of risk perception and related psychological variables. In doing so, we present a case study on laypeople’s perception of risk related to the handling of hazardous substances in their direct living environment, which combines different levels of the integrative risk perception framework in a network estimated with survey data from Dutch inhabitants (N = 1,026). Additionally, we examine the impact of a form of personal relevance by comparing cities (i.e., Zaandam nearby a chemical cluster [n = 457] and Deventer with less chemical companies [n = 569]). Results showed how, in the context of handling hazardous substances, 1) the different levels of the integrative risk perception framework are interrelated, 2) this approach can help prioritize levels of the framework and specific elements for future research (i.e., cognitive-affective factors appear to be relatively important), and 3) comparing the risk perception networks of different cities revealed that they are generally comparable, although differences in relations between specific variables can be observed. Future research should obtain insight into directions of relations between variables in the risk perception network related to handling hazardous substances to improve our understanding of the network dynamics. Employing a psychological network approach in other risk contexts could improve the understanding of risk perception in more safety domains.

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“…Finally, future research into interventions should be conducted to make stronger causal inferences (Kossakowski et al, 2021).…”

Section: Discussionmentioning

confidence: 99%

A tale of two cities: how a psychological network approach can improve our understanding of local residents’ risk perception of the process industries

Chambon¹,

Dalege²,

Elberse³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Although interesting indications of causality can be drawn based on the approach adopted in this study, no firm statements on causality can be made. In order to do so, interventions should be studied (Kossakowski et al, 2021 ). Second, the ecological validity of the presented COVID‐19 broad attitude networks is unknown.…”

Section: Discussionmentioning

confidence: 99%

How compliance with behavioural measures during the initial phase of a pandemic develops over time: A longitudinal COVID‐19 study

Chambon

Dalege

Borsboom

et al. 2022

British J Social Psychol

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In this longitudinal research, we adopt a complexity approach to examine temporal dynamics of variables related to compliance with behavioural measures during the COVID-19 pandemic. Dutch participants (N = 2399) completed surveys with COVID-19-related variables five times over a period of 10 weeks (23 April -30 June 2020). With this data, we estimated within-person COVID-19 attitude networks containing a broad set of psychological variables and their relations. These networks display variables' predictive effects over time between measurements and contemporaneous effects during measurements. Results show (1) bidirectional effects between multiple variables relevant for compliance, forming potential feedback loops, and (2) a positive reinforcing structure between compliance, support for behavioural measures, involvement in the pandemic, and vaccination intention. These results can explain why levels of these variables decreased throughout the course of the study. The reinforcing structure points towards potentially amplifying effects of interventions on these variables, and might inform processes of polarization. We conclude that adopting a complexity approach might contribute to understanding protective behaviour in the initial phase of pandemics by combining different theoretical models and modelling bidirectional effects between variables. Future research could build upon this research by studying causality with interventions and including additional variables in the networks.

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“…Next, the survey administered in this study, although inspired by validated scales, was constructed for and tailored to COVID-19 vaccines and therefore not independently validated. Furthermore, although predictive effects in longitudinal data provide indications of causal relations, interventions should be studied to make stronger causal inferences 41 . Future research could focus on causal relations to further explain and predict COVID-19 vaccine uptake, for instance by intervening in social norms surrounding vaccination against COVID-19.…”

Section: Discussionmentioning

confidence: 99%

Understanding change in COVID-19 vaccination intention with network analysis of longitudinal data from Dutch adults

et al. 2022

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Prior research into the relationship between attitudes and vaccination intention is predominantly cross-sectional and therefore does not provide insight into directions of relations. During the COVID-19 vaccines development and enrollment phase, we studied the temporal dynamics of COVID-19 vaccination intention in relation to attitudes toward COVID-19 vaccines and the pandemic, vaccination in general, social norms and trust. The data are derived from a longitudinal survey study with Dutch participants from a research panel (N = 744; six measurements between December 2020 and May 2021; age 18–84 years [M = 53.32]) and analyzed with vector-autoregression network analyses. While cross-sectional results indicated that vaccination intention was relatively strongly related to attitudes toward the vaccines, results from temporal analyses showed that vaccination intention mainly predicted other vaccination-related variables and to a lesser extent was predicted by variables. We found a weak predictive effect from social norm to vaccination intention that was not robust. This study underlines the challenge of stimulating uptake of new vaccines developed during pandemics, and the importance of examining directions of effects in research into vaccination intention.

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The search for causality: A comparison of different techniques for causal inference graphs.

Cited by 14 publications

References 23 publications

A tale of two cities: how a psychological network approach can improve our understanding of local residents’ risk perception of the process industries

A tale of two cities: how a psychological network approach can improve our understanding of local residents’ risk perception of the process industries

How compliance with behavioural measures during the initial phase of a pandemic develops over time: A longitudinal COVID‐19 study

Understanding change in COVID-19 vaccination intention with network analysis of longitudinal data from Dutch adults

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