How To Use Likert Items In Your Online Surveys

Among the most frequent survey techniques utilized on surveys is the Likert item. It is a sort of question that measures the participant's degree of agreement or disagreement with a specific assertion. Every item is made up of a stem and a scale

For example, look at the following piece...

"The national minimum wage should be higher."

1. Strongly disagree
2. Disagree
3. Undecided
4. Agree
5. Strongly agree

The stem of a Likert item is the statement (i.e. "The federal minimum wage should be greater."). The item's scale is the selection of possible replies. Although this is a apparently basic method for gathering the ideas of your market, it often leads to skewed data due to poor design.

In this post, we will have a look at some of the issues natural with utilizing Likert items in your internet surveys. The purpose is not to dissuade you from utilizing them. On the contrary, by exposing the probable pitfalls, you'll be able to avoid them when creating your questionnaires.

Possible Issues With Utilizing Likert Products

An important part of developing an efficient survey is knowing the possible tendencies of your audience and reducing their impact on your data. A particularly typical trend with Likert items is acquiescence bias

This happens when participants communicate a natural inclination to agree with the item's stem; from our earlier example, participants will be inclined to select options 4 or 5 ("agree" and "strongly agree," respectively). In case they don't agree with the stem, they may select option 3 ("undecided").

This could happen for a variety of motives. First, the respondent might have an inborn penchant for agreeing with other folks - in this instance, the questionnaire's developer - prompted by a need to be courteous or amenable.

Second, the bias may happen due to an appeal to presumed authority; that is, the participant might believe the surveyor is an expert on the subject, and therefore likely to be much better informed than he or she; from this point of view, agreement with the stem looks proper.

Third, acquiescence tendency may happen because of the participant's wish to finish the survey. Disagreement demands more approval than agreement; that requires more work and time to carefully think about the possible replies.

An additional possible issue with using Likert items entails a trend known as social desirability bias; this occurs when the respondent's choice is affected by his or her want to be regarded in a positive light by others. Based on the stem's subject, this individual might be motivated to agree or disagree dependent on how they perceive another person's anticipations.

Of the 2 kinds of bias, acquiescence bias is easier to lessen (although hard to eradicate entirely); each Likert item's scale ought to be dispersed equally over positive and negative responses to prevent encouraging the participant's prejudice.

Studying Your Outcomes: Interval Vs. Ordinal Information

At first glance, studying the information from a Likert item would seem simple; with a 5-level scale - for example the one utilized in our earlier instance - compiling and confirming the outcomes is easy. Nevertheless, it is well worth taking a better glimpse.

A typical mistake is to presume the scale responses reveal interval instead of ordinal information. Interval information presumes the range in between responses is equal; that is, option 1 is equidistant from option 2 as 2 is to option 3

While an assertion can be made that this is certainly the case for a distinct Likert scale, most scale responses mirror ordinal information. This is info that does not imply distance - equal or otherwise - between responses. Any assumption to the contrary is most likely to lend to a misinterpretation of your questionnaire's outcomes.

Likert items are valuable and should be included in your online surveys; the tip is to create them in a way that reduces the effect of acquiescence bias, and to avoid presuming the info suggests something it does not.