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本文引用的文献

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Development and Testing of an Abbreviated Numeracy Scale: A Rasch Analysis Approach.一种简化算术量表的开发与测试:拉施分析方法
J Behav Decis Mak. 2013 Apr;26(2):198-212. doi: 10.1002/bdm.1751. Epub 2012 Mar 15.
2
Cortical thickness and its associations with age, total cognition and education across the adult lifespan.大脑皮层厚度及其与全生命周期中老年、总认知和教育的关联。
PLoS One. 2020 Mar 25;15(3):e0230298. doi: 10.1371/journal.pone.0230298. eCollection 2020.
3
Association of TDP-43 Pathology With Domain-specific Literacy in Older Persons.TDP-43 病理学与老年人特定领域文化程度的关联。
Alzheimer Dis Assoc Disord. 2019 Oct-Dec;33(4):315-320. doi: 10.1097/WAD.0000000000000334.
4
Associations of health and financial literacy with mortality in advanced age.健康和金融知识素养与高龄人群死亡率的关系。
Aging Clin Exp Res. 2020 May;32(5):951-957. doi: 10.1007/s40520-019-01259-7. Epub 2019 Jul 4.
5
Numeracy and Risk Literacy: What Have We Learned so Far?算术能力与风险素养:我们目前学到了什么?
Span J Psychol. 2019 Mar 20;22:E10. doi: 10.1017/sjp.2019.16.
6
A distinct cortical network for mathematical knowledge in the human brain.人类大脑中用于数学知识的独特皮质网络。
Neuroimage. 2019 Apr 1;189:19-31. doi: 10.1016/j.neuroimage.2019.01.001. Epub 2019 Jan 3.
7
Predictors of Financial Capacity in Young Adults.年轻成年人财务能力的预测因素
Arch Clin Neuropsychol. 2019 Jun 1;34(4):503-510. doi: 10.1093/arclin/acy054.
8
Aging effects on symbolic number comparison: No deceleration of numerical information retrieval but more conservative decision-making.衰老对符号数字比较的影响:数值信息检索无减速,但决策更保守。
Psychol Aging. 2019 Feb;34(1):4-16. doi: 10.1037/pag0000272. Epub 2018 Jul 5.
9
The Economic Importance of Financial Literacy: Theory and Evidence.金融知识的经济重要性:理论与证据
J Econ Lit. 2014 Mar;52(1):5-44. doi: 10.1257/jel.52.1.5.
10
FINANCIAL LITERACY AROUND THE WORLD: AN OVERVIEW.全球金融知识普及:概述
J Pension Econ Financ. 2011 Oct;10(4):497-508. doi: 10.1017/S1474747211000448. Epub 2011 Oct 11.

评估数值推理能力可深入了解金融知识素养。

Assessing numerical reasoning provides insight into financial literacy.

机构信息

Columbia University Medical Center, New York, NY, USA.

出版信息

Appl Neuropsychol Adult. 2022 Jul-Aug;29(4):710-717. doi: 10.1080/23279095.2020.1805745. Epub 2020 Aug 14.

DOI:10.1080/23279095.2020.1805745
PMID:32795202
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8720496/
Abstract

Financial literacy is linked to financial well-being and decision making. While financial literacy and numeracy skills are strongly related, the relevance of different aspects of numeracy (mental arithmetic, math achievement, and numerical reasoning) for financial literacy has not yet been examined. Data were collected from 88 cognitively healthy adults, mean age = 50 years (SD = 15); mean education = 15 years (SD = 2); 61% females; with 56% Caucasian, 36% Black, and 90% non-Hispanic. Financial literacy was measured with the widely used Big Three scale, and numeracy was measured with the Wechsler Adult Intelligence Scale-III, Arithmetic subtest; the Wide Range Achievement Test-IV, Math Computation subtest; and the Weller's Abbreviated Numeracy Scale (WANS). Regressions analyses were conducted with financial literacy as the outcome variable and each numeracy measure along with demographics (age, sex, and education) as the predictors. In all the models, only the numeracy measures were significant as individual predictors, with numerical reasoning holding the strongest association with financial literacy, followed by mental arithmetic and math achievement. The current study supports the existing literature that numeracy is important for financial literacy, and provides empirical evidence for the specific contributions of individual numeracy measures that clinicians may use to garner impressions about financial skills.

摘要

金融知识与金融福祉和决策有关。虽然金融知识和计算能力密切相关,但计算能力的不同方面(心算、数学成绩和数字推理)对金融知识的相关性尚未得到检验。数据来自 88 名认知健康的成年人,平均年龄为 50 岁(标准差=15);平均受教育年限为 15 年(标准差=2);女性占 61%;56%为白种人,36%为黑人,90%为非西班牙裔。金融知识用广泛使用的“三大”量表进行衡量,计算能力用韦氏成人智力量表第三版的算术分量表、广域成就测验第四版的数学计算分量表和韦勒简化计算能力量表进行衡量。回归分析以金融知识为因变量,以每个计算能力衡量指标以及人口统计学因素(年龄、性别和教育程度)为预测变量。在所有模型中,只有计算能力衡量指标作为个体预测变量具有显著意义,数字推理与金融知识的关联性最强,其次是心算和数学成绩。本研究支持现有文献,即计算能力对金融知识很重要,并为临床医生可能用来了解金融技能的个别计算能力衡量指标的具体贡献提供了经验证据。