How to Choose the Right Statistical Test for Your Dissertation

Start with the research question, not the software menu

Students often open SPSS or R and immediately search for a test. The better starting point is your research question. What relationship, difference, prediction, or association are you trying to examine? Once that is clear, you can match the question to the correct family of tests.

Check your variable types

The next step is identifying whether your variables are categorical, ordinal, or continuous. That matters because statistical tests are built around different kinds of data structures. A chi-square test, for example, answers a very different question from a Pearson correlation or an independent-samples t-test.

Review assumptions before you commit

Even when a test appears to fit your design, you still need to check assumptions such as independence, normality, homogeneity of variance, or linearity. If assumptions are violated, a non-parametric or alternative approach may be more appropriate.