What's a rating scale?
As per Wikipedia: A rating scale is a set of categories designed to elicit information about a quantitative or a qualitative attribute.
Rating scales are a crucial element in surveys and as such it is important to understand how to use them appropriately.
Rating scales can look like this:
They're ideal for going a step further than simple yes or no questions because, as we all know, views and feelings aren't rarely simple. If employees are only given a black and white, yes or no question, you may well find that the complete picture remains hidden.
You've probably taken part in many surveys that use rating scales yourself, and Primalogik 360 lets you create fully customized scales to use in your own surveys. Our customers love this feature, but we know it's not always that easy if you don't have previous experience creating rating scales.
Intervals and Anchors in Rating ScalesInterval rating scales show strength of feeling or agreement - so rather than yes/no, they have a scale of options. For example, your survey could have the statement 'I feel comfortable going to my line manager for support', and the responses could be Strongly Disagree, Disagree, Somewhat Disagree, Somewhat Agree, Agree, Strongly Agree - these statements are called anchors.
There are different types of interval rating scales, like the Likert-type scale as above, where there are levels of agreement (or lack of) with a specific statement. A verbal frequency scale, however, looks at how frequently something takes place. For example, 'Management always keeps me informed of new initiatives' with the intervals between one and five, where one is Never and five is Always.
There are a number of other types, but for now we wanted to go through some of the important considerations when you're setting interval rating scales.
Proper Use of IntervalsGroup by type - while you may think that different types of interval scales suit different aspects of the survey, it's often more successful to use the same throughout. Employees will often go into autopilot and expect the anchors to be the same, so if you start mixing and matching types, you risk the results being skewed.
Ensure intervals are equal - employees taking part have to perceive that the difference between anchors is equal to avoid any bias. An example of a poor set of anchors is: Extremely Poor - Poor - Fair - Good - Excellent. It's not clear that the difference between Poor and Fair is the same as Fair and Good. In fact, it could be said that the Fair is closer to Good than it is to Poor. Another example of a bad scale is Not At All Satisfied - Satisfied - Very Satisfied - Extremely Satisfied. In this case we talk of a truncated scale. The difference between the first two points (Not At All Satisfied - Satisfied) is likely to be far greater than the other intervals.
Proper Use of AnchorsChoose carefully - the anchor choices you make will have an effect on the results you get, so choose wisely and really put some thought into what you want to achieve from the survey.
Set scale direction - there can be confusion with which is highest, is it '1' or '5'? That's why verbal anchors should be at least at the beginning and end, so participants can see exactly which end of the scale their answer is. Even better is to have verbal anchor at each point in the scale.
Balance anchors - each end of the scale should be opposites of each other to avoid potential bias, so Strongly Disagree to Strongly Agree, Never to Always, Extremely Dissatisfied to Extremely Satisfied, and so on.
Primalogik 360 allows different types of rating scales to accommodate the most diverse needs in surveys. Give us a try today with a 30-day no-commitment free trial and see how Primalogik 360 can help you with your performance management needs.