The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Personal economic anxiety in response to COVID-19
Open accessAbstract
The economic effects of COVID-19 have been far-reaching. Using a sample of adults from the United States (n = 513), the present study examined demographic and individual correlates of anxiety about financial hardship on March 17th, 2020, the day after historic stock market drops in response to the emerging COVID-19 crisis. Confirmatory factor analysis models determined that a unidimensional approach best accounted for covariation among types of economic anxiety. Zero-order and semi-partial correlations with economic anxiety were estimated. Younger adults tended to report greater anxiety than older adults. Black respondents reported significantly more anxiety, whereas respondents without children living at home reported less anxiety. Low collective self-esteem, low conscientiousness, and low openness to experience were associated with greater economic anxiety. High neuroticism, perceived vulnerability to disease, and belongingness stemming from large group activities also were associated with greater anxiety. The current study provides a first glance at individual differences in understanding who may experience economic anxiety due to the COVID-19 pandemic.
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Cites
Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance
Cheung, G. W., & Rensvold, R. B. (2002) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1207/s15328007sem0902_5 · Cited by 16,280
GPOWER: A general power analysis program
Erdfelder, E., Faul, F., & Buchner, A. (1996) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03203630 · Cited by 4,864
Baumeister, R. F., Campbell, J. D., Krueger, J. I., & Vohs, K. D. (2003) · Psychological Science in the Public Interest · doi:10.1111/1529-1006.01431 · Cited by 3,893
Self-citationA Collective Self-Esteem Scale: Self-Evaluation of One’s Social Identity
Luhtanen, R., & Crocker, J. (1992) · Personality and Social Psychology Bulletin · doi:10.1177/0146167292183006 · Cited by 3,057
Short and extra-short forms of the Big Five Inventory–2: The BFI-2-S and BFI-2-XS
Soto, C. J., & John, O. P. (2017) · Journal of Research in Personality · doi:10.1016/j.jrp.2017.02.004 · Cited by 927
Perceived vulnerability to disease: Development and validation of a 15-item self-report instrument
Duncan, L. A., Schaller, M., & Park, J. H. (2009) · Personality and Individual Differences · doi:10.1016/j.paid.2009.05.001 · Cited by 758 · cited 2×
“Perceived disease vulnerability taps people's concerns that they may be susceptible to illness and take action to avoid contagions (Duncan et al., 2009).”
BackgroundCollective self-esteem and psychological well-being among White, Black, and Asian college students
Crocker, J., Luhtanen, R., Blaine, B., & Broadnax, S. (1994) · Personality and Social Psychology Bulletin · doi:10.1177/0146167294205007 · Cited by 718
Cited by
Addressing the mental health impact of COVID-19 through population health
Boden, M., Zimmerman, L., Azevedo, K. J., Ruzek, J. I., Gala, S., Abdel Magid, H. S., Cohen, N., Walser, R., Mahtani, N. D., Hoggatt, K. J., et al. (2021) · Clinical Psychology Review · doi:10.1016/j.cpr.2021.102006 · Cited by 216
Duplaga, M., & Grysztar, M. (2021) · Healthcare · doi:10.3390/healthcare9010043 · Cited by 106
“Wolf et al. also found a greater degree of anxiety in patients living in the USA suffering from chronic diseases who also had low HL [48].”
BackgroundInfluentialSelf-compassion and the Mitigation of Negative Affect in the Era of Social Distancing
Guan, F., Wu, Y., Ren, W., Zhang, P., Jing, B., Xu, Z., Wu, S.-T., Peng, K.-P., & He, J.-B. (2021) · Mindfulness · doi:10.1007/s12671-021-01674-w · Cited by 38
Call for Action on the Upstream Determinants of Diabetes in Canada.
Fazli, G. S., & Booth, G. L. (2023) · Canadian Journal of Diabetes · doi:10.1016/j.jcjd.2023.05.011 · Cited by 5
Metadata
- Authors
- Mann, F. D., Krueger, R. F., & Vohs, K. D.
- Venue
- Personality and Individual Differences
- Publisher
- Elsevier BV
- Published
- 2020-12
- Volume
- 167
- Pages
- 110233
- ISSN
- 0191-8869 (ISSN-L)
- OpenAlex
- W3039990560
- Cited by
- 160
- References
- 7
- FWCI
- 12.17
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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