Shaping Social Work Science

Author:

Guo Shenyang1

Affiliation:

1. School of Social Work, University of North Carolina, Chapel Hill, NC, USA

Abstract

Based on a review of economists’ debates on mathematical economics, this article discusses a key issue for shaping the science of social work—research methodology. The article describes three important tasks quantitative researchers need to fulfill in order to enhance the scientific rigor of social work research. First, to test theories using empirical data, researchers should follow the positivistic/postpositivistic principles. Second, social work researchers should incorporate the latest advances in methods from other disciplines. Third, researchers should use quantitative methods to address the most pressing and challenging issues of social work research and practice.

Publisher

SAGE Publications

Subject

General Psychology,Sociology and Political Science,Social Sciences (miscellaneous)

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Gaps between Supply and Utilization of Social Work Evidence in Mainland of China;Research on Social Work Practice;2024-01-23

2. Impact of school librarians on elementary student achievement in reading and mathematics: A propensity score analysis;Library & Information Science Research;2023-07

3. Nature and Extent of Quantitative Research in Social Work Journals: A Systematic Review from 2016 to 2020;The British Journal of Social Work;2021-08-14

4. Propensity Score Analysis: Recent Debate and Discussion;Journal of the Society for Social Work and Research;2020-09-01

5. Adult First-time User of Handheld Computer System: Challenges;Proceedings of the 12th International Conference on Computer Supported Education;2020

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