Data Analysis

Correlation & Reliability

Association is not cause, and your write-up should say so.

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Two things go wrong in this section. The first is a default Pearson on data that is nowhere near interval or normal. The second is a discussion that quietly turns association into cause by the third paragraph. We pick the coefficient your data justifies, report scale reliability alongside it, and keep the claims inside what a correlation can support.

What you get

  • Pearson or Spearman chosen for your data, with a reason
  • Cronbach's alpha for every scale you use
  • Correlation matrices readable at a glance
  • Significance reported with the actual p value
  • Language that stops short of claiming causation
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