Associations Between Volunteering, STEM Backgrounds, and Information-Processing Skills in Adult Populations of the United States

被引:0
作者
Yamashita, Takashi [1 ]
Narine, Donnette [2 ]
Punksungka, Wonmai [3 ]
Kramer, Jenna W. [4 ]
Karam, Rita [1 ]
Cummins, Phyllis A. [5 ]
机构
[1] Univ Maryland Baltimore Cty, Dept Sociol Anthropol & Hlth Adm & Policy, Baltimore, MD 21228 USA
[2] Univ Maryland, Gerontol Doctoral Program, Baltimore, MD USA
[3] George Mason Univ, Dept Sociol & Anthropol, Fairfax, VA USA
[4] RAND Corp, Santa Monica, CA USA
[5] Miami Univ, Scripps Gerontol Ctr, Oxford, OH USA
关键词
Civic engagement; STEM; Literacy; Numeracy; PIAAC; VOLUNTARY-ASSOCIATIONS; EDUCATION;
D O I
10.1007/s11205-023-03201-x
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
Volunteering, STEM education and occupation, and information-processing skills such as literacy, numeracy, and digital problem-solving skills are important indicators of a nation's well-being as they represent civic engagement, economic development, and the human capital of the population. Although these critical social indicators have been previously examined in silos, the interrelationships are yet to be examined in the adult populations in the United States. The current study analyzed the 2012/2014/2017 U.S. Program for the International Assessment of Adult Competencies (PIAAC) data of adults aged between 25 and 65 years old (n = 8,330). Results from the structural equation model showed that STEM education and occupation as well as information-processing skills independently promote volunteer participation. Also, STEM education and occupation are positively associated with information-processing skills. Yet, when simultaneously examining the mediation relationship, STEM education and occupation are no longer the promoters of volunteering. Findings from the current study can provide preliminary education, labor, and social policy implications for promoting the nation's economy and well-being, and inform future research to disentangle complex interrelationships across the important social indicators.
引用
收藏
页码:1087 / 1108
页数:22
相关论文
共 74 条
  • [1] AmeriCorps, 2021, KEY FIND 2019 CURR P
  • [2] [Anonymous], 2016, SPECIAL NEEDS SCHOLARSHIP PROGRAM: FREQUENTLY ASKED QUESTIONS FOR PARENTS-2017-18 SCHOOL YEAR
  • [3] [Anonymous], 2019, Demographics of Internet and Home Broadband Usage in the United States
  • [4] [Anonymous], 2020, Structural equation modeling: Applications using Mplus
  • [5] [Anonymous], 2016, Background Paper
  • [6] [Anonymous], 2021, OECD skills outlook 2021 learning for life, DOI [DOI 10.1787/0AE365B4-EN, https://doi.org/10.1787/0ae365b4-en]
  • [7] Arbuckle JL, 1996, ADV STRUCTURAL EQUAT, P243, DOI DOI 10.4324/9781315827414
  • [8] Atwell M.N., 2017, CIVIC DESERTS AM CIV
  • [9] Becker G. S., 1964, HUMAN CAPITAL THEORE, DOI DOI 10.7208/CHICAGO/9780226041223.001.0001
  • [10] We Are What We Do: Adult Basic Education Should Be About More Than Employability
    Belzer, Alisa
    Kim, Jeounghee
    [J]. JOURNAL OF ADOLESCENT & ADULT LITERACY, 2018, 61 (06) : 603 - 608