Cited by 106

The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.

Worry, Risk Perception, and Controllability Predict Intentions Toward COVID-19 Preventive Behaviors

Sobkow, Agata, Zaleskiewicz, Tomasz, Petrova, Dafina, Garcia-Retamero, Rocio, Traczyk, Jakub·2020·Frontiers in Psychology

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3389/fpsyg.2020.582720

Cites

18 of 18 references verified0 citation errors · 0 not checkable

Statistics

Figures

FIGURE 1 Sample visual aid showing the cumulative number of SARS-CoV-2 cases in Poland (y-axis) in consecutive days since the first patient has received a positive test (x-axis). Descriptions on the figure are in Polish as they were presented to participants.
FIGURE 1 Sample visual aid showing the cumulative number of SARS-CoV-2 cases in Poland (y-axis) in consecutive days since the first patient has received a positive test (x-axis). Descriptions on the figure are in Polish as they were presented to participants.CC BY · PubMed Central
FIGURE 2 Sample visual aid showing the cumulative number of SARS-CoV-2 cases (y-axis) in Poland (red line) in comparison to other countries (Spain—yellow line, Germany—black line, South Korea—pink line, Norway—blue line, Japan—green line) in consecutive days since the 100th patient with a positive test in each country (x-axis). Descriptions on the figure are in Polish as they were presented to participants.
FIGURE 2 Sample visual aid showing the cumulative number of SARS-CoV-2 cases (y-axis) in Poland (red line) in comparison to other countries (Spain—yellow line, Germany—black line, South Korea—pink line, Norway—blue line, Japan—green line) in consecutive days since the 100th patient with a positive test in each country (x-axis). Descriptions on the figure are in Polish as they were presented to participants.CC BY · PubMed Central

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Research works printed but not linked: 104

  1. Ancker, 2006, Design features of graphs in health risk communication: a systematic review., J. Am. Med. Inform. Assoc., 13, 608, 10.1197/jamia.M2115 · DOI
  2. Andrews, 2020, Peer influence in adolescence: public-health implications for COVID-19., Trends Cogn. Sci., 24, 585, 10.1016/j.tics.2020.05.001 · DOI · Paper page
  3. Armitage, 2008, Use of mental simulations to change theory of planned behaviour variables., Br. J. Health Psychol., 13, 513, 10.1348/135910707X227088 · DOI
  4. Ashby, 2017, Numeracy predicts preference consistency: deliberative search heuristics increase choice consistency for choices from description and experience., Judg. Decis. Mak., 12, 128, 10.1017/S1930297500005672 · DOI
  5. Atanasov, 2020, Small steps to accuracy: incremental belief updaters are better forecasters., Org. Behav. Hum. Decis. Process., 160, 19, 10.1016/j.obhdp.2020.02.001 · DOI
  6. Bandura, 1982, Self-efficacy mechanism n human agency., Am. Psychol., 37, 122, 10.1016/0006-8993(86)91535-0 · DOI
  7. Bandura, 1990, Perceived self-efficacy in the exercise of control over AIDS infection., Eval. Prog. Plan., 13, 9, 10.1016/0149-7189(90)90004-G · DOI
  8. Barari, 2020, Evaluating COVID-19 public health messaging in italy: self-reported compliance and growing mental health concerns., MedRxiv[Preprint].
  9. Bechara, 2005, The somatic marker hypothesis: a neural theory of economic decision., Games Econ. Behav., 52, 336, 10.1016/j.geb.2004.06.010 · DOI · Paper page
  10. Betsch, 2020, Monitoring behavioural insights related to COVID-19., Lancet, 395, 1255, 10.1016/S0140-6736(20)30729-7 · DOI · Paper page
  11. Brewer, 2007, Meta-analysis of the relationship between risk perception and health behavior: the example of vaccination., Health Psychol., 26, 136, 10.1037/0278-6133.26.2.136 · DOI · Paper page
  12. Bruine De Bruin, 2020, Relationships between Initial COVID-19 risk perceptions and protective health behaviors: a national survey., Am. J. Prevent. Med., 59, 157, 10.1016/j.amepre.2020.05.001 · DOI
  13. Brundage, 2005, Communicating quality of life information to cancer patients: a study of six presentation formats., J. Clin. Oncol., 23, 6949, 10.1200/JCO.2005.12.514 · DOI
  14. Catena, 1998, The effect of frequency of judgement and the type of trials on covariation learning., J. Exp. Psychol. Hum. Percept. Perf., 24, 481, 10.1037/0096-1523.24.2.481 · DOI
  15. Cokely, 2018, Decision Making Skill: From Intelligence to Numeracy and Expertise, Cambridge Handbook of Expertise and Expert Performance, 476, 10.1017/9781316480748.026 · DOI
  16. Cokely, 2012, Measuring risk literacy: the berlin numeracy test., Judg. Decis. Mak., 7, 25, 10.1017/S1930297500001819 · DOI
  17. Cokely, 2009, Cognitive abilities and superior decision making under risk: a protocol analysis and process model evaluation., Judg. Decis. Mak., 4, 20, 10.1017/S193029750000067X · DOI · Paper page
  18. Erceg, 2020, Misbehaving in the corona crisis: the role of anxiety and unfounded beliefs., PsyArXiv[Preprint]., 10.31234/OSF.IO/CGJW8 · DOI
  19. Escalas, 2003, Process versus outcome thought focus and advertising., J. Cons. Psychol., 13, 246, 10.1207/S15327663JCP1303_06 · DOI
  20. 2020, Employment, Social Affairsd and Inclusion.
  21. Fagerlin, 2007, Measuring numeracy without a math test: development of the subjective numeracy scale., Med. Decis. Mak., 27, 672, 10.1177/0272989X07304449 · DOI · Paper page
  22. Fancourt, 2020, Covid-19 Social Study. Results Release 22., 10.1177/0272989x07304449 · DOI · Paper page
  23. Fischhoff, 1978, How safe is safe enough? A psychometric study of attitudes towards technological risks and benefits., Policy Sci., 9, 127, 10.1007/BF00143739 · DOI
  24. Gaissmaier, 2012, Numbers can be worth a thousand pictures: individual differences in understanding graphical and numerical representations of health-related information., Health Psychol., 31, 286, 10.1037/a0024850 · DOI
  25. Garcia-Retamero, 2011, Effective communication of risks to young adults: using message framing and visual aids to increase condom use and STD screening., J. Exp. Psychol. Appl., 17, 270, 10.1037/a0023677 · DOI
  26. Garcia-Retamero, 2013, Communicating health risks with visual aids., Curr. Dir. Psychol. Sci., 22, 392, 10.1177/0963721413491570 · DOI
  27. Garcia-Retamero, 2017, Designing visual aids that promote risk literacy: a systematic review of health research and evidence-based design heuristics., Hum. Fact. J. Hum. Fact. Ergonom. Soc., 59, 582, 10.1177/0018720817690634 · DOI · Paper page
  28. Garcia-Retamero, 2020, Scientific risk reporting in medical journals can bias expert judgment: comparing surgeons’ risk comprehension across reporting formats., J. Exp. Psychol. Appl., 26, 283, 10.1037/xap0000242 · DOI
  29. Garcia-Retamero, 2019, Numeracy and risk literacy: what have we learned so far?, Span. J. Psychol., 10, 1, 10.1017/sjp.2019.16 · DOI
  30. Ghazal, 2014, Predicting biases in very highly educated samples: numeracy and metacognition., Judg. Decis. Mak., 9, 15, 10.1017/S1930297500004952 · DOI
  31. Habersaat, 2020, Ten considerations for effectively managing the COVID-19 transition., Nat. Hum. Behav., 4, 677, 10.1038/s41562-020-0906-x · DOI
  32. Hildon, 2012, Impact of format and content of visual display of data on comprehension, choice and preference: a systematic review., Int. J. Qual. Health Care, 24, 55, 10.1093/intqhc/mzr072 · DOI
  33. Holmes, 2005, Mental imagery and emotion: a special relationship?, Emotion, 5, 489, 10.1037/1528-3542.5.4.489 · DOI · Paper page
  34. Holtgrave, 1993, Dimensions of risk perception for financial and health risks., Risk Analysis, 13, 553, 10.1111/j.1539-6924.1993.tb00014.x · DOI
  35. Keren, 2015, The Wiley Blackwell Handbook of Judgment and Decision Making., 10.1002/9781118468333 · DOI
  36. Koonce, 2005, How do investors judge the risk of financial items?, Account. Rev., 80, 221, 10.2308/accr.2005.80.1.221 · DOI
  37. Kulesza, 2020, We are infected with the new, mutated virus UO-COVID-19., Arch. Med. Sci., 17
  38. Lee, 2014, An Epidemic of Rumors: How Stories Shape Our Perception of Disease.
  39. Leiserowitz, 2005, American risk perceptions: is climate change dangerous?, Risk Analysis, 25, 1433, 10.1111/j.1540-6261.2005.00690.x · DOI
  40. Lempert, 2013, Neuroeconomics of Emotion and Decision Making, Neuroeconomics: Decision Making and the Brain, 219, 10.1016/b978-0-12-416008-8.00012-7 · DOI
  41. Lerner, 2000, Beyond valence: toward a model of emotion-specific influences on judgement and choice., Cogn. Emot., 14, 473, 10.1080/026999300402763 · DOI · Paper page
  42. Lerner, 2001, Fear, anger, and risk., J. Personal. Soc. Psychol., 81, 146, 10.1037/0022-3514.81.1.146 · DOI · Paper page
  43. Lerner, 2015, Emotion and decision making., Annu. Rev. Psychol., 66, 799, 10.1146/annurev-psych-010213-115043 · DOI · Paper page
  44. Lins, 2020, Development and initial psychometric properties of a panic buying scale during COVID-19 pandemic Heliyon Development and initial psychometric properties of a panic buying scale during COVID-19 pandemic., Heliyon, 6, 10.1016/j.heliyon.2020.e04746 · DOI
  45. Lipkus, 2001, General performance on a numeracy scale among highly educated samples., Med. Decis. Mak., 21, 37, 10.1177/0272989X0102100105 · DOI
  46. Loewenstein, 2001, Risk as feelings., Psychol. Bull., 127, 10.1037//0033-2909.127.2.267 · DOI
  47. Luszczynska, 2009, Self-efficacy and health-related outcomes of collective trauma. a systematic review., Eur. Psychol., 14, 51, 10.1027/1016-9040.14.1.51 · DOI
  48. Marris, 1997, Exploring the “psychometric paradigm”: comparisons between aggregate and individual analyses., Risk Analysis, 17, 303, 10.1111/j.1539-6924.1997.tb00868.x · DOI
  49. McCarthy-Larzelere, 2001, Psychometric properties and factor structure of the worry domains questionnaire., Assessment, 8, 177, 10.1177/107319110100800206 · DOI
  50. Miao, 2017, The relationship between entrepreneurial self-efficacy and firm performance: a meta-analysis of main and moderator effects., J. Small Business Manag., 55, 87, 10.1111/jsbm.12240 · DOI
  51. Mohr, 2010, Neural processing of risk., J. Neurosci., 30, 6613, 10.1523/JNEUROSCI.0003-10.2010 · DOI · Paper page
  52. Moritz, 2000, The relation of self-efficacy measures to sport performance: a meta-analytic review., Res. Quart. Exerc. Sport, 71, 280, 10.1080/02701367.2000.10608908 · DOI
  53. Neck, 1992, Thought self-leadership: the influence of self-talk and mental imagery on performance., J. Org. Behav., 13, 681, 10.1002/job.4030130705 · DOI
  54. Neck, 1996, Thought self-leadership: the impact of mental strategies training on employee cognition, behavior, and affect., J. Org. Behav., 17, 445, 10.1002/(sici)1099-1379(199609)17:5<445::aid-job770>3.0.co;2-n · DOI
  55. Opfer, 2007, Representational change and children’s numerical estimation., Cogn. Psychol., 55, 169, 10.1016/j.cogpsych.2006.09.002 · DOI
  56. Parrott, 2017, Role of Emotions in Risk Perception, Consumer Perception of Product Risks and Benefits, 221, 10.1007/978-3-319-50530-5_12 · DOI
  57. Peters, 2020, Is Obsessing Over Daily Coronavirus Statistics Counterprodictive? The New York Times.
  58. Peters, 2015, Multiple numeric competencies: when a number is not just a number., J. Personal. Soc. Psychol., 108, 802, 10.1037/pspp0000019 · DOI
  59. Peters, 1996, The role of affect and worldviews as orienting dispositions in the perception and acceptance of nuclear Power1., J. Appl. Soc. Psychol., 26, 1427, 10.1111/j.1559-1816.1996.tb00079.x · DOI
  60. Peters, 2006, Numeracy and decision making., Psychol. Sci., 17, 407, 10.1111/j.1467-9280.2006.01720.x · DOI · Paper page
  61. Petherick, 2020, Variation in government responses to COVID-19 | Blavatnik School of Government.
  62. Petrova, 2016, Psychological Factors Implicated In Decision Making About Health And Health Outcomes.
  63. Petrova, 2015, Understanding the harms and benefits of cancer screening., Med. Decis. Mak., 35, 847, 10.1177/0272989X15587676 · DOI
  64. Petrova, 2019, What shapes the probability weighting function? Influence of affect, numeric competencies, and information formats., J. Behav. Decis. Mak., 32, 124, 10.1002/bdm.2100 · DOI
  65. Petrova, 2014, Feeling the numbers: on the interplay between risk, affect, and numeracy., J. Behav. Decis. Mak., 27, 191, 10.1002/bdm.1803 · DOI
  66. Pfister, 2008, The multiplicity of emotions: a framework of emotional functions in decision making., Judg. Decis. Mak., 3, 5, 10.1017/S1930297500000127 · DOI
  67. Prestwich, 2014, How can self-efficacy be increased? Meta-analysis of dietary interventions., Health Psychol. Rev., 8, 270, 10.1080/17437199.2013.813729 · DOI
  68. Reber, 1993, Implicit Learning and Tacit Knowledge.
  69. Reyna, 2009, How numeracy influences risk comprehension and medical decision making., Psychol. Bull., 135, 943, 10.1037/a0017327 · DOI
  70. Sheeran, 2016, The impact of changing attitudes, norms, and self-efficacy on health-related intentions and behavior: a meta-analysis., Health Psychol., 35, 1178, 10.1037/hea0000387 · DOI · Paper page
  71. Siegrist, 2005, A new look at the psychometric paradigm of perception of hazards., Risk Analysis, 25, 211, 10.1111/j.0272-4332.2005.00580.x · DOI
  72. Sim, 2020, The anatomy of panic buying related to the current COVID-19 pandemic., Psychiatry Res., 288, 10.1016/j.psychres.2020.113015 · DOI
  73. Slovic, 1987, Perception of risk., Science, 236, 280, 10.1126/science.3563507 · DOI · Paper page
  74. Slovic, 2013, The Feeling of Risk., 10.4324/9781849776677 · DOI
  75. Slovic, 2016, The Perception of Risk, Scientists Making a Difference, 179, 10.1017/CBO9781316422250.040 · DOI
  76. Slovic, 2007, The affect heuristic., Eur. J. Operat. Res., 177, 1333, 10.1016/j.ejor.2005.04.006 · DOI · Paper page
  77. Slovic, 1982, Why study risk perception?, Risk Analysis, 2, 83, 10.1111/j.1539-6924.1982.tb01369.x · DOI
  78. Sobkow, 2019, Does mental number line training work? The effects of cognitive training on real-life mathematics, numeracy, and decision making., J. Exp. Psychol. Appl., 25, 372, 10.1037/xap0000207 · DOI
  79. Sobkow, Cognitive Abilities and Financial Decision Making, Psychological Perspectives on Financial Decision Making
  80. Sobkow, Multiple numeric competencies predict decision outcomes beyond fluid intelligence and cognitive reflection., Intelligence, 80, 10.1016/j.intell.2020.101452 · DOI
  81. Sobkow, 2018, The structure of intuitive abilities and their relationships with intelligence and Openness to Experience., Intelligence, 67, 1, 10.1016/j.intell.2017.12.001 · DOI
  82. Sobkow, 2017, Cognitive and emotional factors influencing the propensity to insure oneself against disaster, Large Risks With Low Probabilities: Perceptions and Willingness to Take Preventive Measures Against Flooding, 119, 10.2166/9781780408606_119 · DOI
  83. Sobkow, 2016, The affective bases of risk perception: negative feelings and stress mediate the relationship between mental imagery and risk perception., Front. Psychol., 7, 10.3389/fpsyg.2016.00932 · DOI
  84. Stajkovic, 1998, Self-efficacy and work-related performance: a meta-analysis., Psychol. Bull., 124, 240, 10.1037/0033-2909.124.2.240 · DOI
  85. Taylor, 2019, The Psychology of Pandemics: Preparing for the Next Global Outbreak of Infectious Disease.
  86. Taylor, 2004, Treating Health Anxiety: A Cognitive-Behavioral Approach.
  87. Thompson, 2020, Math matters during a pandemic: a novel, brief educational intervention combats whole number bias to improve health decision-making and predicts COVID-19 risk perceptions and worry across 10 day., psyArXiv[Preprint]., 10.31234/osf.io/hukyv · DOI
  88. Traczyk, 2016, Numeracy moderates the influence of task-irrelevant affect on probability weighting., Cognition, 151, 37, 10.1016/j.cognition.2016.03.002 · DOI
  89. Traczyk, 2020, Consistency in probability processing as a function of affective context and numeracy., J. Behav. Decis. Mak., 10.1002/bdm.2206 · DOI
  90. Traczyk, Does fear increase search effort in more numerate people? An experimental study investigating information acquisition in a decision from experience task., Front. Psychol., 9, 10.3389/FPSYG.2018.01203 · DOI
  91. Traczyk, Numerate decision makers don’t use more effortful strategies unless it pays: a process tracing investigation of skilled and adaptive strategy selection in risky decision making., Judg. Decis. Mak., 13, 372, 10.1017/S1930297500009244 · DOI
  92. Traczyk, 2019, The experience-based format of probability improves probability estimates: the moderating role of individual differences in numeracy., Int. J. Psychol., 55, 273, 10.1002/ijop.12566 · DOI
  93. Traczyk, 2015, Affect-laden imagery and risk taking: the mediating role of stress and risk perception., PLoS One, 10, 10.1371/journal.pone.0122226 · DOI
  94. Utych, 2020, Age-based messaging strategies for communication about COVID-19., J. Behav. Public Admin., 3, 1, 10.30636/jbpa.31.151 · DOI
  95. Visschers, 2018, Differences in risk perception between hazards and between individuals, Psychological Perspectives on Risk and Risk Analysis: Theory, Models, and Applications, 63, 10.1007/978-3-319-92478-6_3 · DOI
  96. Waters, 2007, Reducing aversion to side effects in preventive medical treatment decisions., J. Exp. Psychol. Appl., 13, 11, 10.1037/1076-898X.13.1.11 · DOI
  97. Weber, 2017, Understanding public risk perception and responses to changes in perceived risk, Policy Shock: Regulatory Responses to Oil Spills, Nuclear Accidents, and Financial Crashes, 82, 10.1017/9781316492635.004 · DOI
  98. Weber, 2002, A domain-specific risk-attitude scale: measuring risk perceptions and risk behaviors., J. Behav. Decis. Mak., 15, 263, 10.1002/bdm.414 · DOI · Paper page
  99. Wheaton, 2010, Health anxiety: latent structure and associations with anxiety-related psychological processes in a student sample., J. Psychopathol. Behav. Assess., 32, 565, 10.1007/s10862-010-9179-4 · DOI
  100. 2020, Covid-19 Health System Response Monitor.
  101. Zaleskiewicz, 2002, Fear or money? Decisions on insuring oneself against flood., Risk Decis.Pol., 7, 221, 10.1017/S1357530902000662 · DOI
  102. Zaleskiewicz, 2020, Emotions and Financial Decision Making, Psychological Perspectives on Financial Decision Making, 10.1007/978-3-030-45500-2_6 · DOI
  103. Zheng, 2020, Risk factors of critical & mortal COVID-19 cases: a systematic literature review and meta-analysis., J. Infect., 18, e16, 10.1016/j.jinf.2020.04.021 · DOI · Paper page
  104. Zikmund-Fisher, 2008, Communicating side effect risks in a tamoxifen prophylaxis decision aid: the debiasing influence of pictographs., Patient Educ. Couns., 73, 209, 10.1016/j.pec.2008.05.010 · DOI

Cited by

Metadata

Authors
Sobkow, A., Zaleskiewicz, T., Petrova, D., Garcia-Retamero, R., & Traczyk, J.
Venue
Frontiers in Psychology
Published
2020-11-19
Volume
11
ISSN
1664-1078
Cited by
106
References
18
Funders
  • Narodowym Centrum Nauki (2018/31/D/HS6/02899, 2019/33/B/HS6/01920)
  • Ministerio de Economía y Competitividad (PSI2014-51842-R)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review