Deepening Learning and Addressing Inequalities: A Psychosocial Approach to Improving Statistical Literacy Throughout Sociology Curricula

Author:

Nousak Samantha1ORCID,Barry Leanne2ORCID,Fisk Susan R.1ORCID

Affiliation:

1. Kent State University, Kent, OH, USA

2. The Ohio State University, Columbus, OH, USA

Abstract

Statistical literacy is critical for all sociology students because it facilitates academic and professional success, high-paying jobs, and informed citizenship. Most students, however, lack adequate statistical literacy to engage with sociological research. Within that general deficit, there are gender, racial, and social-class differences, with students from historically marginalized groups starting and staying behind. In this conversation, we argue that to deepen statistical literacy and reduce inequalities, instructors must be willing to sacrifice breadth of content to attend to students’ psychosocial needs throughout sociology curricula, especially in courses where quantitative methodology is not the core focus. We synthesize prior literature into a holistic psychosocial approach for teaching quantitative sociology content at all course levels: build interest and motivation, foster a growth mindset, develop statistical efficacy, encourage belonging, and challenge stereotypes.

Publisher

SAGE Publications

Subject

Sociology and Political Science,Education

Reference92 articles.

1. People Like Me: Providing relatable and realistic role models for underrepresented minorities in STEM to increase their motivation and likelihood of success

2. American Sociological Association. 2020a. “Bachelor’s Degrees Awarded in Sociology, by Gender.” https://www.asanet.org/research_trend/bachelors-degrees-awarded-sociology-gender/.

3. American Sociological Association. 2020b. “Bachelor’s Degrees Awarded in Sociology, by Race or Ethnicity.” https://www.asanet.org/research_trend/bachelors-degrees-awarded-sociology-race-or-ethnicity/.

4. Integrating Sociological Research Into Large Introductory Courses: Learning Content and Increasing Quantitative Literacy

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3