SAMPLING BIAS AND ITS IMPLICATIONS FOR RESEARCH VALIDITY

Authors

  • Enoch Danie Nigeria Security and Civil Defense Corps, Keffi Area Command, Nasarawa State, Nigeria
  • Abubakar Musa Tafida Department of Psychology, Nasarawa State University Keffi, Nasarawa State, Nigeria
  • Suleiman Aliyu Abubakar Department of Psychology, Federal University of Lafia, Nasarawa State, Nigeria
  • Ahmed Osu Abdulrahman Department of Crime Management, Federal Polytechnic Nasarawa, Nigeria
  • Salisu Oloko Abubakar Department of Crime Management, Federal Polytechnic Nasarawa, Nigeria

Keywords:

Sampling Bias, Research Validity, Probability Sampling, Response Rate Optimization, Mitigation Strategies

Abstract

This paper explores sampling bias and its implications for research validity. It
starts by explaining the concept of sampling bias. The paper further defines sampling bias in
research as the collection of samples that do not accurately represent the entire group. The
paper further explains the types of sampling bias and the causes of sampling bias. It also
discusses the sampling bias and implications for research validity with some examples.
Furthermore, it looks at the approaches to mitigate sampling bias, which includes Probability
sampling, Weighting and adjustments, response rate optimization, and pilot testing. Lastly, the
paper gave some recommendations for the best practices in sampling from a population in order
to avoid sampling bias.

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Published

2024-11-15

How to Cite

Danie, E., Musa Tafida, A., Aliyu Abubakar, S., Osu Abdulrahman, A., & Oloko Abubakar, S. (2024). SAMPLING BIAS AND ITS IMPLICATIONS FOR RESEARCH VALIDITY. African Journal of Social and Behavioural Sciences, 14(7). Retrieved from https://journals.aphriapub.com/index.php/AJSBS/article/view/2902

Issue

Vol. 14 No. 7 (2024)

Section

Articles

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