What is a trip value?

What is the trip value of a question?

If you want to make a good test, statistical analysis is essential. One of the statistical measures that says something about an exam question is the trip value. But what exactly is a ride value? And how does a ride value fit into the process of digital review?

What does the ride value stand for?

Even though we write ride-value in lower case, it is actually an acronym/letter word. Indeed, RIT stands for:

  • R – Correlation
  • I – Item score
  • T – Total score

In testing jargon, the ride value means: the correlation (r) between the item score (i) and the total score (t).

What is a trip value?

A trip value indicates how well the item individually, measures the same as the test as a whole. In other words, how well the item in question fits the test. The ride value shows how the item differentiates between candidates with high scores on the test and those with low scores on the test. Thereby, the ride value indicates the distinctiveness of the item.

Combined demand analysis (p and trip values).

If you plot the p-value (read also: what is the p-value?) and the trip value against each other in a graph, you get insight into which items should be critically evaluated. The items in the red areas should at least be scrutinized. It is noticeable in the figure below that there are very many easy items (high p-values).

Combined demand analysis - p-value and trip value

Combined demand analysis – p-value and trip value

A high ride value or a low ride value?

The standard of an acceptable trip value varies widely. The following norms are generally used in the literature (Veldhuijzen, Goldebeld & Sanders, 1993). As a side note, the standards below are only guidelines that may vary from situation to situation.

  • 40 and above – very good
  • 30 – 0.39 – good
  • 20 – 0.29 – doubtful
  • 19 and below – bad

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