Analysis of College Students' Misconceptions of Quantitative Research in Social Sciences in China: Implications for Teaching

Authors

  • Xiangmei Li
  • Quanli Li
  • Qiuxiao Wang

DOI:

https://doi.org/10.54097/jeer.v2i3.7140

Keywords:

Quantitative research methods, Misconceptions, Social sciences, Undergraduate students

Abstract

Research design is essential in regard to obtaining objective reliability for social science research. However, some social sciences students may be prone to many misconceptions regarding the understanding of quantitative research and application of statistics, which threatens the credibility of the research. To understand and potentially alleviate this problem, we examined 25 research projects and interviewed 10 undergraduate students who participated in quantitative methodology courses in social work and social welfare in a university in mainland China. This study aimed to explore students’ misconceptions about quantitative research methods and statistical analysis. The results show that common misconception include but not limited to the following aspects: (1) taking research topics as research questions; (2) no clarification of sampling procedure in data collection and no random assignment in experimental research project; (3) no explanation of the validity and reliability of the construct measures; (4) violations of the assumptions of statistical tests; (5) misuses of statistical methods; and (6) misinterpretation of statistical findings; and (7) little consideration of research ethics. The findings indicate that institutes, educators, and students should make consorted efforts to improve the understanding of quantitative research methods and enhance statistical literacy of undergraduates in social sciences in China.

Downloads

Download data is not yet available.

References

Bradstreet, T. E. (1996). Teaching introductory statistics courses so that nonstatisticians experience statistical reasoning. The American Statistician, 50(1), 69-78.

Brase, C. H., & Brase, C. P. (2014). Understandable Statistics. Cengage Learning.

Poole, M. A., & O'Farrell, P. N. (1971). The assumptions of the linear regression model. Transactions of the Institute of British Geographers, 145-158.

Szymanski, E. M. (1991). Quantitative research: Common myths and cautions for utilization in supported employment. Journal of Disability Policy Studies, 2(1), 115-126.

Wallman, K. K. (1993). Enhancing statistical literacy: Enriching our society. Journal of the American Statistical Association, 88(421), 1-8.

Yim, K. H., Nahm, F. S., Han, K. A., & Park, S. Y. (2010). Analysis of statistical methods and errors in the articles published in the Korean journal of pain. The Korean Journal of Pain, 23(1), 35-41.

Gostin, L. (1991). Ethical principles for the conduct of human subject research: population-based research and ethics. Law, Medicine and Healthcare, 19(3-4), 191-201.

Downloads

Published

12-04-2023

Issue

Section

Articles

How to Cite

Li, X., Li, Q., & Wang, Q. (2023). Analysis of College Students’ Misconceptions of Quantitative Research in Social Sciences in China: Implications for Teaching. Journal of Education and Educational Research, 2(3), 28-31. https://doi.org/10.54097/jeer.v2i3.7140