What is Likert Scale?
A Likert scale is a common survey response format that asks people to rate their level of agreement, satisfaction or frequency on a numbered scale (typically 5 or 7 points) with labelled anchors.
A Likert scale presents a statement (for example, “The office supports my ability to focus”) and asks respondents to choose from ordered response options such as “Strongly disagree” to “Strongly agree.” Each option is assigned a number for analysis (e.g. 1–5). Likert formats can measure agreement, satisfaction, frequency or importance and are used to capture attitudes and perceptions consistently across respondents. Variations include balanced scales (equal positive and negative options), scales with a neutral midpoint, and forced-choice versions without a neutral option.
Usage example
Survey item (5‑point Likert): “The office layout supports collaboration.” Response options: 1 = Strongly disagree, 2 = Disagree, 3 = Neither agree nor disagree, 4 = Agree, 5 = Strongly agree.
Practical application
Likert scales make subjective workplace perceptions measurable and comparable — useful for tracking employee satisfaction, gauging reactions to hybrid-working policies, or evaluating service quality. They allow teams to summarise sentiment (e.g., percent agree, median score), compare groups (departments, sites) and build composite indexes (e.g., an engagement score). Good design choices (consistent scale direction, clear anchors, appropriate number of points and careful translation) improve data quality and make benchmarking and longitudinal tracking more reliable.
FAQ
How many points should a Likert scale have?
Five- and seven-point scales are most common. Five points are easy for respondents and work well for most workplace topics; seven points offer more nuance for subtle distinctions. Avoid too many options (e.g., 10) because it can increase respondent confusion without improving reliability.
Are Likert responses ordinal or interval — can I calculate averages?
Technically Likert items are ordinal (ranked categories), so medians and distributions are the safest summaries. In practice, many teams treat them as interval data and calculate means to show trends, provided you use consistent scales and interpret averages cautiously. For multi-item constructs (e.g., an engagement index), aggregating items into a reliable scale and then using means is standard.
Should I include a neutral midpoint or force a choice?
Include a neutral option when a true neutral or unsure response is valid (helps avoid misleading forced responses). Use a forced-choice scale when you want to reduce fence-sitting and prompt clearer direction. Choose based on the question’s purpose and your audience.
What about reverse-worded items — should I use them?
Reverse-worded items (statements phrased in the opposite direction) can help detect inattentive respondents but may confuse participants and harm reliability. If you use them, make sure to reverse-code those items in analysis and consider pilot testing to check understanding.