Q-Sort Scaling

In this article, you will learn about Q-Sort Scaling.

Respondents are asked to sort the presented objects into piles based on similarity according to a specified criterion, such as preference, attitude, perception, etc., when using the Q-Sort Scaling Rank Order Scaling technique.

As a result of some predetermined criteria, participants sort statements or attitudes into piles of 11, which is a common scaling method used in research.. Consider, for example, asking respondents to sort 100 motivational statements into 11 piles, ranging from “most agreed with” to “least agreed with,” on individual cards. The most widely agreed-upon statement is usually at the top of the list, followed by the least widely agreed-upon statement.

Ideally, the number of items to be sorted should be between 60 and 140. While 60 to 90 is considered to be the most reasonable range of values. It is predetermined how many objects are to be placed in each pile in order to get a normal distribution of objects across the entire dataset. The Q-Sort Scaling was designed to make it easier to distinguish between a large number of stimuli..

When objects are sorted according to Q-Sort Scaling, it’s much easier to see the differences between piles and the groups they’re part of.

Related Posts