What kind of scale is likert scale

Get opinions from the market with our online survey panel. Try it now. Likert scale examples. Customer satisfaction. Very satisfied Somewhat satisfied Neither satisfied nor dissatisfied Somewhat dissatisfied Very dissatisfied. Employee engagement. Strongly agree Agree Neither agree nor disagree Disagree Strongly disagree. Professional event feedback. Extremely helpful Very helpful Somewhat helpful Not so helpful Not at all helpful. Or see more templates.

When to use a Likert scale questionnaire. How people are reacting to your new product What your team thinks about a recent development in the office How your clients feel about customer service at your company How successful your public event was with attendees.

Take the legwork out of Likert scale questions. SurveyMonkey Genius helps you quickly build surveys with more confidence—just choose an answer type to automatically add a set of prewritten answer choices to your question. Learn more. Likert scale questions keep your respondents happy. Likert scales work better when questions are focused on one topic. And then follow up with:. How to write Likert scale survey questions.

Keep it labeled. Numbered scales that only use numbers instead of words as response options may give survey respondents trouble, since they might not know which end of the range is positive or negative. Keep it odd. Scales with an odd number of values will have a midpoint. How many options should you give people? Respondents have difficulty defining their point of view on a scale greater than seven. If you provide more than seven response choices, people are likely to start picking an answer randomly, which can make your data meaningless.

Our methodologists recommend five scale points for a unipolar scale, and seven scale points if you need to use a bipolar scale. Keep it continuous. Response options in a scale should be equally spaced from each other. This can be tricky when using word labels instead of numbers, so make sure you know what your words mean. Keep it inclusive. Scales should span the entire range of responses. Keep it logical. Add skip logic to save your survey takers some time.

Use question logic so that only those who are unhappy skip to a question asking for improvement suggestions. McGraw-Hill Series in Psychology.

Streiner, D. Health Measurement Scales. A practical guide to their development and use 4th ed. Rao, C. Handbook of Statistics, Vol. Elsevier Science B. Dunn, G. Statistics in Psychiatry. Hodder Arnold. Revelle's website on personality research.

This raises specific issues in cross-cultural studies since it is known that overall response distribution in attitude or health surveys differ from one country to the other e. Song, X. More generally, you should look at the psychometric-related literature which makes extensive use of Likert items if you are interested with measurement issue.

Various statistical models have been developed and are currently headed under the Item Response Theory framework. The simple answer is that Likert scales are always ordinal. The intervals between positions on the scale are monotonic but never so well-defined as to be numerically uniform increments. That said, the distinction between ordinal and interval is based on the specific demands of the analysis being performed.

Under special circumstances, you may be able to treat the responses as if they fell on an interval scale. To do this, typically the respondents need to be in close agreement regarding the meaning of the scale responses and the analysis or the decisions made based on the analysis should be relatively insensitive to problems that may arise.

In addition to what has already been said above about summated scales, I'd also mention that the issue can change when analysing data at the group-level.

For example, if you were examining. In all these cases each aggregate measure perhaps the mean is based on many individual responses e. In these cases the original Likert item begins to take on properties that resemble an interval scale at the aggregate level. A numerical value is assigned to each potential choice and a mean figure for all the responses is computed at the end of the evaluation or survey.

Sign up to join this community. Researchers use even Likert scales to collect extreme feedback without providing a neutral option. Researchers use the odd Likert scale to give the respondents the choice of responding neutrally. The Likert scale came into existence in in the form of the 5-point scale, which these days are extensively used.

These scales range from a group of general topics to the most specific ones that ask respondents to indicate their level of agreement, approval or, belief. Some significant characteristics of the Likert scale, are:. Researchers use surveys regularly to measure and analyze the quality of products or services.

The Likert scale is a standard classification format for studies. Researchers and auditors generally group collected data into a hierarchy of four fundamental measurement levels — nominal, ordinal, interval, and ratio measurement levels for further analysis :.

Data analysis using nominal, interval, and ratio data are generally transparent and straightforward. Ordinal data analyzes data, particularly in regards to Likert or other scales in the surveys.

This is not a new problem. The effectiveness of handling ordinal data as interval data continues to be debatable in survey analysis of various applied fields. Some of the significant points to keep in mind are:. Because the Likert element data is discrete, ordinal, and limited in scope, there has been a long dispute over the most logical way to analyze Likert data.

The first option is between parametric and non-parametric tests. The advantages and disadvantages of each type of analysis are generally described as the following:.

Which is the best option? This is a real decision that a researcher has to make when deciding to analyze information received from a survey that uses Likert Scale questions. There are many advantages of using a Likert Scale in a survey for market research. They are:. This is a critical question to measure the opinion or attitude towards a specific topic so that it will be of great help in the next step of an investigation.

With QuestionPro, an organization can conduct an online survey using the Likert Scale. Start by creating a free account and start testing this type of question. Though you're welcome to continue on your mobile screen, we'd suggest a desktop or notebook experience for optimal results. Survey software Leading survey software to help you turn data into decisions. Research Edition Intelligent market research surveys that uncover actionable insights. Customer Experience Experiences change the world.

Deliver the best with our CX management software. Workforce Powerful insights to help you create the best employee experience. What is a Likert scale? Example of a Likert scale: For example, to collect product feedback, the researcher uses a Likert Scale question in the form of a dichotomous option question.

Learn more: Thurstone vs Guttman Scale Types of Likert scales with examples The Likert Scale has become a favorite among researchers to collect opinions about customer satisfaction or employee experience. You can divide this scale primarily into two major types: Even Likert Scale Odd Likert Scale Even Likert Scale Researchers use even Likert scales to collect extreme feedback without providing a neutral option.

Here the various degrees of importance are represented in a 4-Point Likert Scale. Odd Likert Scale Researchers use the odd Likert scale to give the respondents the choice of responding neutrally.