Creating a likert scale on wordpress site
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Is easy for survey-takers to respond to because they can choose from preset responses.Ĭan be adapted to a variety of different uses, e.g. Lets you focus on broad topics or specific issues. Helps you quantify feelings about a subject, including how strongly those feelings are held. If you want to collect those sort of open-ended responses, you'll either need to use a different format or add open-ended follow-up questions based on a respondent's answers. What is the Likert scale not good for?īecause the Likert scale asks respondents to react to a specific question or statement using a set of pre-chosen options, it's not a good option for collecting qualitative data.įor example, the Likert scale can help you understand that people don't find your knowledge base helpful, but it doesn't help you understand why they don't find your knowledge base helpful. You could use the data you gather to create a more accurate user persona. For example, it's fairly common to use the Likert scale to gauge political sentiments.
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You can also use the Likert scale to understand more about your customers. How your employees feel about certain company policies, like whether or not they're satisfied with your company's vacation policy.Īdditionally, the Likert scale is great for letting you focus on a specific topic or aspect of a product.īecause you provide the statement/question and then ask respondents to react, you can gauge how people feel about very specific aspects of a product… or your product in general. How helpful people find your customer support. How customers feel about your latest product. When should you use the Likert scale?Īgain, the Likert scale helps you understand how people feel about a given subject, so there are quite a lot of use cases for the Likert scale. So a 4-point Likert scale might look like this:īecause it removes the ability for respondents to be neutral, the 4-point Likert scale is not as common as the 5-point or 7-point scales. With a 4-point Likert scale, you can remove the neutral middle option to force survey-takers to pick a side. For example:ħ-point Likert scales offer more variance, but they can be confusing for respondents because the differences between choices are smaller. Two common alternatives are the…Ī 7-point Likert scale uses the same basic idea but gives respondents even more choices on both sides of the neutral response. However, the Likert scale doesn't have to use just 5 options. The 5-point Likert scale examples above are the most common implementation. A Likert scale example for frequency would be something like: Some people even use a Likert scale to examine other concepts, like the frequency that respondents perform a certain activity. Notice how the example above uses a different type of scale? We'll discuss this difference later on. Or, if you're asking for feedback about content or a presentation, you might use helpfulness. Sometimes these different variations are called Likert-type scales, but you'll also commonly see them just called Likert scales.Įssentially, Likert-type scales use different criteria than just the 5-point “agreement” choices listed above.įor example, if you're running a survey about customer satisfaction, you might use satisfaction instead of agreement. The original Likert scale based on agreement has been expanded into a variety of additional uses following the same concept. The original implementation is a 5-point Likert scale where survey-takers are given a statement and then asked to respond by selecting one of five choices: The Likert scale works by presenting a simple question or statement that the survey-taker is instructed to react to using various levels of agreement, disagreement, or neutrality.
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In fact, you've probably taken a survey that employed the Likert scale, even if you didn't know it by that name when you were giving your answers. Originally invented back in 1932 by its eponymous psychologist founder Rensis Likert, the Likert scale is a common tactic in both scientific and business surveys. The Likert scale is a survey methodology that helps you to understand more about a respondent's feelings, attitudes, or behavior.