Sample size estimation in research: Necessity or compromise?

Authors

  • Samir Kumar Praharaj Department of Psychiatry, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India
  • Shahul Ameen Consultant Psychiatrist, St. Thomas Hospital, Changanacherry, Kerala, India

DOI:

https://doi.org/10.30834/KJP.37.1.2024.463

Keywords:

Sample size estimation

Abstract

An adequately powered sample is essential for accurate parameter estimation and meaningful significance testing. It is important to balance sample size with practical considerations such as cost and feasibility. Sample size calculation is guided by key factors such as effect size, variability, power, and significance levels. While complex formulas and software aid precision, practical rules of thumb and strategies can also be used effectively. Transparent documentation of the rationale and methods used for sample size calculation is vital for ensuring reproducibility.

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Published

2024-08-30

How to Cite

Praharaj, S. K., and S. Ameen. “Sample Size Estimation in Research: Necessity or Compromise?”. Kerala Journal of Psychiatry, vol. 37, no. 1, Aug. 2024, pp. 66-71, doi:10.30834/KJP.37.1.2024.463.

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Section

Column: Tips on Research and Publication