Sample Size Guideline for Correlation Analysis

By M. Bujang, N. Baharum. 2016

289 citations recorded by the source corpus.

Correlation analysis is a common statistical analysis in various fields. The aim is usually to determine to what extent two numerical variables are correlate d with each other. One of the issues that are important to be considered before conducting any correlation analysis is to plan for the sufficient sample size. This is to ensure, the results that to be derived from the analysis be able to reach a desired minimum correlation coefficient value with sufficient power and desired type I error or p-value. Sample size estimation for correlation analysis should be in line with the study objective. Researchers who are not statistician need simpler guideline to determine the sufficient sample size for correlation analysis. Therefore, this study aims to tabulate tables that show sample size calculation based on desired correlation coefficient, power and type 1 error (p-value) values. Moving towards that, simpler guidelines are proposed to estimate sufficient sample size requirements in different scenarios.

Subfields: Computer Networks and Communications, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/2d4f6e00cdedf15671b0094740877ff37426702e

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In Computer Networks and Communications

  1. T. Adnan
  2. M. Bujang

In Statistics and Probability

  1. T. Adnan
  2. M. Bujang
  3. N. Baharum

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