In this post, I will introduce you to t-scores and explain how they are similar to z-scores (remember those? They tell us how likely it is for a particular score to occur). I will also talk about t-distribution and its assumptions and explain the role which t-scores play in Hypothesis Testing; actual calculations and t-tests, however, will be discussed in the next posts.
It is important to know which type of measurement to use in your research/experiment and not to confuse those types. Normally we would talk of Numerical (Score) and Nominal (Category) types of measurement; numerical then can be of three types itself: ordinal (rank), interval and ratio measurement types.