{"title":"\"How Personality and Policy Predict Pandemic Behavior: Understanding Sheltering-in-Place in 55 Countries at the Onset of COVID-19\": Correction.","authors":"","doi":"10.1037/amp0001009","DOIUrl":null,"url":null,"abstract":"Reports an error in \"How personality and policy predict pandemic behavior: Understanding sheltering-in-place in 54 countries at the onset of COVID-19\" by Friedrich M. Götz, Andrés Gvirtz, Adam D. Galinsky and Jon M. Jachimowicz (American Psychologist, 2021[Jan], Vol 76[1], 39-49). In the article \"How Personality and Policy Predict Pandemic Behavior: Understanding Sheltering-in-Place in 55 Countries at the Onset of COVID-19,\" by Friedrich M. Götz, Andrés Gvirtz, Adam D. Galinsky, and Jon M. Jachimowicz (American Psychologist, 2021, Vol. 76, No. 1, pp. 39-49, https://doi.org/10.1037/amp0000740), there were two errors. First, there were translation errors in the Japanese and Korean versions of the Ten Item Personality Inventory (TIPI; Gosling et al., 2003). Second, there was an error in the termination logic that applied to 195 individuals: The skip logic that was meant to automatically move participants to terminate the survey if they selected \"no, I would not like to participate\" was not working for all participants, and 195 of these participants completed the survey even after selecting this option. To rectify these errors, we (a) recoded the data from the Korean version (in which two items had been accidentally swapped in their presentation order), (b) dropped all participants who completed the Japanese version of the data (which contained an inaccurate translation), and (c) dropped all participants for whom the termination logic did not work properly. Together these exclusions amounted to 0.81% of our sample. When we reran all analyses with the corrected sample of 100,196 participants from 54 countries (i.e., 99.19% of the original sample size), all interpretations, significance levels, and standard errors remained exactly the same. There were only minor changes in a few coefficients in our focal model, and these were rare and very small (Model 3, see Table 1). Among the focal predictors, these are \"stringency index\" (coefficient changes from .094 to .092) and \"extraversion\" (coefficient changes from -.025 to -.024). Among the control variables, these are \"female\" (coefficient changes from .036 to .034), \"health\" (coefficient changes from -.015 to -.016), \"logged confirmed cases (t - 1)\" (coefficient changes from -.115 to -.122), \"logged confirmed deaths (t - 1)\" (coefficient changes from .026 to .027) and \"estimated infections in one month\" (coefficient changes from .012 to .013). The full set of updated analyses is available in the online supplemental materials: https://doi.org/10.1037/ amp0000740.supp. The online version of this article has been corrected. (The abstract of the original article appeared in record 2020-76208-001.) (PsycInfo Database Record (c) 2022 APA, all rights reserved).","PeriodicalId":217617,"journal":{"name":"The American psychologist","volume":"571 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The American psychologist","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1037/amp0001009","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Reports an error in "How personality and policy predict pandemic behavior: Understanding sheltering-in-place in 54 countries at the onset of COVID-19" by Friedrich M. Götz, Andrés Gvirtz, Adam D. Galinsky and Jon M. Jachimowicz (American Psychologist, 2021[Jan], Vol 76[1], 39-49). In the article "How Personality and Policy Predict Pandemic Behavior: Understanding Sheltering-in-Place in 55 Countries at the Onset of COVID-19," by Friedrich M. Götz, Andrés Gvirtz, Adam D. Galinsky, and Jon M. Jachimowicz (American Psychologist, 2021, Vol. 76, No. 1, pp. 39-49, https://doi.org/10.1037/amp0000740), there were two errors. First, there were translation errors in the Japanese and Korean versions of the Ten Item Personality Inventory (TIPI; Gosling et al., 2003). Second, there was an error in the termination logic that applied to 195 individuals: The skip logic that was meant to automatically move participants to terminate the survey if they selected "no, I would not like to participate" was not working for all participants, and 195 of these participants completed the survey even after selecting this option. To rectify these errors, we (a) recoded the data from the Korean version (in which two items had been accidentally swapped in their presentation order), (b) dropped all participants who completed the Japanese version of the data (which contained an inaccurate translation), and (c) dropped all participants for whom the termination logic did not work properly. Together these exclusions amounted to 0.81% of our sample. When we reran all analyses with the corrected sample of 100,196 participants from 54 countries (i.e., 99.19% of the original sample size), all interpretations, significance levels, and standard errors remained exactly the same. There were only minor changes in a few coefficients in our focal model, and these were rare and very small (Model 3, see Table 1). Among the focal predictors, these are "stringency index" (coefficient changes from .094 to .092) and "extraversion" (coefficient changes from -.025 to -.024). Among the control variables, these are "female" (coefficient changes from .036 to .034), "health" (coefficient changes from -.015 to -.016), "logged confirmed cases (t - 1)" (coefficient changes from -.115 to -.122), "logged confirmed deaths (t - 1)" (coefficient changes from .026 to .027) and "estimated infections in one month" (coefficient changes from .012 to .013). The full set of updated analyses is available in the online supplemental materials: https://doi.org/10.1037/ amp0000740.supp. The online version of this article has been corrected. (The abstract of the original article appeared in record 2020-76208-001.) (PsycInfo Database Record (c) 2022 APA, all rights reserved).
Friedrich M. Götz、andr·格维茨、Adam D. Galinsky、Jon M. Jachimowicz合著的《个性和政策如何预测大流行行为:了解新冠肺炎爆发时54个国家的避难措施》(《美国心理学家》,2021年1月,第76卷[1],39-49)。Friedrich M. Götz、andr·格维茨、Adam D. Galinsky、Jon M. Jachimowicz合著的文章《个性和政策如何预测流行病行为:了解新冠肺炎爆发时55个国家的避难行为》(《美国心理学家》2021年第76卷第1期,第39-49页,https://doi.org/10.1037/amp0000740)中有两个错误。首先,日本和韩国版本的十项人格量表(TIPI;Gosling et al., 2003)。其次,在适用于195个人的终止逻辑中存在一个错误:跳过逻辑意味着如果参与者选择“不,我不想参与”,则自动移动参与者以终止调查,这并不适用于所有参与者,并且这些参与者中有195人在选择此选项后完成了调查。为了纠正这些错误,我们(a)重新编码了韩语版本的数据(其中两个项目的表示顺序被意外交换),(b)删除了所有完成日语版本数据的参与者(其中包含不准确的翻译),以及(c)删除了所有终止逻辑不能正常工作的参与者。这些排除总共占我们样本的0.81%。当我们对来自54个国家的100196名参与者(即原始样本量的99.19%)的修正样本重新进行所有分析时,所有的解释、显著性水平和标准误差都保持完全相同。在我们的焦点模型中,只有少数几个系数发生了微小的变化,而且这些变化非常罕见和很小(模型3,见表1)。在焦点预测因子中,这些是“严格指数”(系数从0.094变化到0.092)和“外向性”(系数从-变化)。025至- 0.024)。在控制变量中,“女性”(系数从0.036变化到0.034),“健康”(系数从-变化)。015至- 0.016),“记录的确诊病例(t - 1)”(系数从-变化。115到- 0.122)"记录的确认死亡人数(t - 1)"(系数从0.026变化到0.027)和“一个月的估计感染”(系数从0.012变化到0.013)。完整的更新分析可在在线补充材料:https://doi.org/10.1037/ amp0000740.supp。本文的在线版本已被更正。(原文摘要出现在记录2020-76208-001.)(PsycInfo数据库记录(c) 2022 APA,版权所有)。