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Lives versus Livelihoods? Perceived economic risk has a stronger association with support for COVID-19 preventive measures than perceived health risk

Nisa, Claudia F. ; Bélanger, Jocelyn J. ; Faller, Daiane G. ; [et al.]

Springer Science and Business Media LLC ; 2021

In: Scientific Reports Vol. 11, No. 1 ( 2021-05-06)

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In: Scientific Reports, Springer Science and Business Media LLC, Vol. 11, No. 1 ( 2021-05-06)

Abstract: This paper examines whether compliance with COVID-19 mitigation measures is motivated by wanting to save lives or save the economy (or both), and which implications this carries to fight the pandemic. National representative samples were collected from 24 countries (N = 25,435). The main predictors were (1) perceived risk to contract coronavirus, (2) perceived risk to suffer economic losses due to coronavirus, and (3) their interaction effect. Individual and country-level variables were added as covariates in multilevel regression models. We examined compliance with various preventive health behaviors and support for strict containment policies. Results show that perceived economic risk consistently predicted mitigation behavior and policy support—and its effects were positive. Perceived health risk had mixed effects. Only two significant interactions between health and economic risk were identified—both positive.

Type of Medium: Online Resource

ISSN: 2045-2322

URL: Article

DOI: 10.1038/s41598-021-88314-4

Language: English

Publisher: Springer Science and Business Media LLC

Publication Date: 2021

detail.hit.zdb_id: 2615211-3

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Using machine learning to identify important predictors of COVID-19 infection prevention behaviors during the early phase of the pandemic

Van Lissa, Caspar J. ; Stroebe, Wolfgang ; vanDellen, Michelle R. ; [et al.]

Elsevier BV ; 2022

In: Patterns Vol. 3, No. 4 ( 2022-04), p. 100482-

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In: Patterns, Elsevier BV, Vol. 3, No. 4 ( 2022-04), p. 100482-

Type of Medium: Online Resource

ISSN: 2666-3899

URL: Article

DOI: 10.1016/j.patter.2022.100482

Language: English

Publisher: Elsevier BV

Publication Date: 2022

detail.hit.zdb_id: 3019416-7

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Concern with COVID-19 pandemic threat and attitudes towards immigrants: The mediating effect of the desire for tightness

Mula, Silvana ; Di Santo, Daniela ; Resta, Elena ; [et al.]

Elsevier BV ; 2022

In: Current Research in Ecological and Social Psychology Vol. 3 ( 2022), p. 100028-

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In: Current Research in Ecological and Social Psychology, Elsevier BV, Vol. 3 ( 2022), p. 100028-

Type of Medium: Online Resource

ISSN: 2666-6227

URL: Article

DOI: 10.1016/j.cresp.2021.100028

Language: English

Publisher: Elsevier BV

Publication Date: 2022

detail.hit.zdb_id: 3101694-7

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Intentions to be Vaccinated Against COVID-19: The Role of Prosociality and Conspiracy Beliefs across 20 Countries

Enea, Violeta ; Eisenbeck, Nikolett ; Carreno, David F. ; [et al.]

Informa UK Limited ; 2023

In: Health Communication Vol. 38, No. 8 ( 2023-07-03), p. 1530-1539

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In: Health Communication, Informa UK Limited, Vol. 38, No. 8 ( 2023-07-03), p. 1530-1539

Type of Medium: Online Resource

ISSN: 1041-0236 , 1532-7027

URL: Article

DOI: 10.1080/10410236.2021.2018179

Language: English

Publisher: Informa UK Limited

Publication Date: 2023

detail.hit.zdb_id: 2021846-1

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Intergenerational conflicts of interest and prosocial behavior during the COVID-19 pandemic

Jin, Shuxian ; Balliet, Daniel ; Romano, Angelo ; [et al.]

Elsevier BV ; 2021

In: Personality and Individual Differences Vol. 171 ( 2021-03), p. 110535-

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In: Personality and Individual Differences, Elsevier BV, Vol. 171 ( 2021-03), p. 110535-

Type of Medium: Online Resource

ISSN: 0191-8869

URL: Article

DOI: 10.1016/j.paid.2020.110535

Language: English

Publisher: Elsevier BV

Publication Date: 2021

detail.hit.zdb_id: 2019937-5

SSG: 5,2

SSG: 5,21

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‘We are all in the same boat’: How societal discontent affects intention to help during the COVID ‐19 pandemic

Resta, Elena ; Mula, Silvana ; Baldner, Conrad ; [et al.]

Wiley ; 2022

In: Journal of Community & Applied Social Psychology Vol. 32, No. 2 ( 2022-03), p. 332-347

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In: Journal of Community & Applied Social Psychology, Wiley, Vol. 32, No. 2 ( 2022-03), p. 332-347

Abstract: The coronavirus disease 2019 (COVID‐19) pandemic has caused a global health crisis. Consequently, many countries have adopted restrictive measures that caused a substantial change in society. Within this framework, it is reasonable to suppose that a sentiment of societal discontent, defined as generalized concern about the precarious state of society, has arisen. Literature shows that collectively experienced situations can motivate people to help each other. Since societal discontent is conceptualized as a collective phenomenon, we argue that it could influence intention to help others, particularly those who suffer from coronavirus. Thus, in the present study, we aimed (a) to explore the relationship between societal discontent and intention to help at the individual level and (b) to investigate a possible moderating effect of societal discontent at the country level on this relationship. To fulfil our purposes, we used data collected in 42 countries ( N = 61,734) from the PsyCorona Survey, a cross‐national longitudinal study. Results of multilevel analysis showed that, when societal discontent is experienced by the entire community, individuals dissatisfied with society are more prone to help others. Testing the model with longitudinal data ( N = 3,817) confirmed our results. Implications for those findings are discussed in relation to crisis management. Please refer to the Supplementary Material section to find this article's Community and Social Impact Statement .

Type of Medium: Online Resource

ISSN: 1052-9284 , 1099-1298

URL: Issue

URL: Article

DOI: 10.1002/casp.v32.2

DOI: 10.1002/casp.2572

Language: English

Publisher: Wiley

Publication Date: 2022

detail.hit.zdb_id: 2001638-4

SSG: 5,2

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Insight Into Individual Differences in Emotion Dynamics With Clustering

Ernst, Anja F. ; Timmerman, Marieke E. ; Jeronimus, Bertus F. ; [et al.]

SAGE Publications ; 2021

In: Assessment Vol. 28, No. 4 ( 2021-06), p. 1186-1206

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In: Assessment, SAGE Publications, Vol. 28, No. 4 ( 2021-06), p. 1186-1206

Abstract: Studying emotion dynamics through time series models is becoming increasingly popular in the social sciences. Across individuals, dynamics can be rather heterogeneous. To enable comparisons and generalizations of dynamics across groups of individuals, one needs sophisticated tools that express the essential similarities and differences. A way to proceed is to identify subgroups of people who are characterized by qualitatively similar emotion dynamics through dynamic clustering. So far, these methods assume equal generating processes for individuals per cluster. To avoid this overly restrictive assumption, we outline a probabilistic clustering approach based on a mixture model that clusters on individuals’ vector autoregressive coefficients. We evaluate the performance of the method and compare it with a nonprobabilistic method in a simulation study. The usefulness of the methods is illustrated using 366 ecological momentary assessment time series with external measures of depression and anxiety.

Type of Medium: Online Resource

ISSN: 1073-1911 , 1552-3489

URL: Article

DOI: 10.1177/1073191119873714

Language: English

Publisher: SAGE Publications

Publication Date: 2021

detail.hit.zdb_id: 2083220-5

SSG: 5,2

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Inter-Individual Differences in Multivariate Time-Series : Latent Class Vector-Autoregressive Modeling

Ernst, Anja F. ; Albers, Casper J. ; Jeronimus, Bertus F. ; [et al.]

Hogrefe Publishing Group ; 2020

In: European Journal of Psychological Assessment Vol. 36, No. 3 ( 2020-05), p. 482-491

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In: European Journal of Psychological Assessment, Hogrefe Publishing Group, Vol. 36, No. 3 ( 2020-05), p. 482-491

Abstract: Abstract. Theories of emotion regulation posit the existence of individual differences in emotion dynamics. Current multi-subject time-series models account for differences in dynamics across individuals only to a very limited extent. This results in an aggregation that may poorly apply at the individual level. We present the exploratory method of latent class vector-autoregressive modeling (LCVAR), which extends the time-series models to include clustering of individuals with similar dynamic processes. LCVAR can identify individuals with similar emotion dynamics in intensive time-series, which may be of unequal length. The method performs excellently under a range of simulated conditions. The value of identifying clusters in time-series is illustrated using affect measures of 410 individuals, assessed at over 70 time points per individual. LCVAR discerned six clusters of distinct emotion dynamics with regard to diurnal patterns and augmentation and blunting processes between eight emotions.

Type of Medium: Online Resource

ISSN: 1015-5759 , 2151-2426

URL: Article

DOI: 10.1027/1015-5759/a000578

Language: English

Publisher: Hogrefe Publishing Group

Publication Date: 2020

detail.hit.zdb_id: 2090873-8

SSG: 5,2

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Politicization of COVID-19 health-protective behaviors in the United States: Longitudinal and cross-national evidence

Stroebe, Wolfgang ; vanDellen, Michelle R. ; Abakoumkin, Georgios ; [et al.]

Public Library of Science (PLoS) ; 2021

In: PLOS ONE Vol. 16, No. 10 ( 2021-10-20), p. e0256740-

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In: PLOS ONE, Public Library of Science (PLoS), Vol. 16, No. 10 ( 2021-10-20), p. e0256740-

Abstract: During the initial phase of the COVID-19 pandemic, U.S. conservative politicians and the media downplayed the risk of both contracting COVID-19 and the effectiveness of recommended health behaviors. Health behavior theories suggest perceived vulnerability to a health threat and perceived effectiveness of recommended health-protective behaviors determine motivation to follow recommendations. Accordingly, we predicted that—as a result of politicization of the pandemic—politically conservative Americans would be less likely to enact recommended health-protective behaviors. In two longitudinal studies of U.S. residents, political conservatism was inversely associated with perceived health risk and adoption of health-protective behaviors over time. The effects of political orientation on health-protective behaviors were mediated by perceived risk of infection, perceived severity of infection, and perceived effectiveness of the health-protective behaviors. In a global cross-national analysis, effects were stronger in the U.S. ( N = 10,923) than in an international sample (total N = 51,986), highlighting the increased and overt politicization of health behaviors in the U.S.

Type of Medium: Online Resource

ISSN: 1932-6203

URL: Article

DOI: 10.1371/journal.pone.0256740

DOI: 10.1371/journal.pone.0256740.t001

DOI: 10.1371/journal.pone.0256740.t002

DOI: 10.1371/journal.pone.0256740.t003

DOI: 10.1371/journal.pone.0256740.t004

DOI: 10.1371/journal.pone.0256740.t005

DOI: 10.1371/journal.pone.0256740.t006

DOI: 10.1371/journal.pone.0256740.s001

DOI: 10.1371/journal.pone.0256740.s002

DOI: 10.1371/journal.pone.0256740.s003

DOI: 10.1371/journal.pone.0256740.s004

DOI: 10.1371/journal.pone.0256740.s005

DOI: 10.1371/journal.pone.0256740.s006

DOI: 10.1371/journal.pone.0256740.s007

DOI: 10.1371/journal.pone.0256740.s008

DOI: 10.1371/journal.pone.0256740.s009

DOI: 10.1371/journal.pone.0256740.s010

DOI: 10.1371/journal.pone.0256740.s011

DOI: 10.1371/journal.pone.0256740.r001

DOI: 10.1371/journal.pone.0256740.r002

DOI: 10.1371/journal.pone.0256740.r003

DOI: 10.1371/journal.pone.0256740.r004

DOI: 10.1371/journal.pone.0256740.r005

DOI: 10.1371/journal.pone.0256740.r006

Language: English

Publisher: Public Library of Science (PLoS)

Publication Date: 2021

detail.hit.zdb_id: 2267670-3

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Mixture multilevel vector-autoregressive modeling.

Ernst, Anja F. ; Timmerman, Marieke E. ; Ji, Feng ; [et al.]

American Psychological Association (APA) ; 2023

In: Psychological Methods ( 2023-08-10)

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In: Psychological Methods, American Psychological Association (APA), ( 2023-08-10)

Type of Medium: Online Resource

ISSN: 1939-1463 , 1082-989X

URL: Article

DOI: 10.1037/met0000551

Language: English

Publisher: American Psychological Association (APA)

Publication Date: 2023

detail.hit.zdb_id: 2103345-6

SSG: 5,2

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