Likert Scale: Definition, Examples, and How to Use It

In the experimental workflow: for how Likert scales is used when designing and running experiments, see Measurement.

A Likert scale (pronounced LICK-ert) is a rating scale used in questionnaires to measure attitudes, opinions, and perceptions. Respondents are presented with a statement and asked to indicate how much they agree or disagree with it, typically on a 5-point scale from Strongly disagree to Strongly agree.

Named after its creator, psychologist Rensis Likert, who introduced the approach in a 1932 paper, the Likert format is now the most widely used measurement tool in the social sciences.

Table of Contents

1. What Is a Likert Scale?
2. Likert Scale Examples
3. Common Response Formats
4. How to Design Likert Items
5. Scoring and Analysis
6. Advantages and Disadvantages
7. Likert Scale vs Other Scales
8. Frequently Asked Questions
9. Key Takeaways

What Is a Likert Scale?

A Likert scale is a summated rating scale built from a set of statements called items. Each item is a declarative statement (not a question) — for example, "I feel confident in my abilities." Respondents rate their level of agreement on an ordered response format.

Two key features define it:

• Agreement format: responses are anchored by agreement labels (e.g., Strongly disagree → Strongly agree), though other labels such as frequency (Never → Always) or importance (Not at all → Extremely) can be used.
• Summated scoring: individual items are scored and summed (or averaged) to create an overall score for the attitude being measured.

A single item such as "Rate your satisfaction from 1 to 5" is better called a rating item. A Likert scale technically refers to a set of items whose scores are combined into a total. In everyday usage, however, the term is often applied to any agreement-rating item.

Likert Scale Examples

Example 1 — Agreement (5-point):

Example 2 — Frequency (5-point): How often do you experience the following?

• Never · Rarely · Sometimes · Often · Always

Example 3 — Agreement (7-point): adds Somewhat disagree and Somewhat agree between the anchors, giving respondents more nuance:

• Strongly disagree · Disagree · Somewhat disagree · Neither agree nor disagree · Somewhat agree · Agree · Strongly agree

Example 4 — Self-report psychometrics: the Rosenberg Self-Esteem Scale uses 10 Likert items summed into a total self-esteem score, a classic example of a summated Likert instrument.

Common Response Formats

The choice involves a trade-off: fewer points are easier to answer but less precise; more points capture finer differences but can overwhelm some respondents. For most surveys, 5-point or 7-point agreement formats are a good default.

How to Design Likert Items

Good Likert items follow several well-established guidelines:

• Write statements, not questions — e.g., "I feel anxious before exams" rather than "Do you feel anxious before exams?"
• Keep items clear and single-barreled — one idea per item; avoid "and" that mixes two concepts
• Use a balanced mix of positive and reverse-worded items — reduces acquiescence bias (the tendency to agree with everything)
• Keep the wording of each item consistent with the response scale — an agreement scale should follow agreement items
• Include 4–8 items per construct when possible — more items increase reliability
• Use simple, concrete language appropriate to the target audience

Scoring and Analysis

For a summated Likert scale:

1. Recode reverse-worded items so that higher scores always mean more of the measured attribute.
2. Sum or average the item scores to produce a total scale score.
3. Check reliability — Cronbach's alpha is the standard measure of internal consistency; α ≥ 0.70 is generally acceptable.
4. Analyze using appropriate statistics — treat Likert data as ordinal: medians, percentiles, and non-parametric tests are safest for individual items; summed scales approximate interval data and can be analyzed with parametric methods.

Many Kuakua tests, such as the Satisfaction with Life Scale and the PHQ-9 depression screening, use Likert-style items summed into a total score.

Advantages and Disadvantages

Advantages

• Quick and easy for respondents to complete
• Easy to construct, score, and interpret
• Produces quantitative data suitable for statistical analysis
• Flexible across cultures and topics
• Reliable when multiple items measure the same construct

Disadvantages

• Social desirability bias — respondents may choose what sounds good rather than what is true
• Acquiescence bias — some people agree with items regardless of content
• Central tendency bias — respondents avoid extreme options
• Data is ordinal, so arithmetic means can be misleading for individual items
• Agreement wording can confuse respondents who hold nuanced positions

Likert Scale vs Other Scales

Frequently Asked Questions

What is a Likert scale used for?

It is used to measure attitudes, opinions, beliefs, and perceptions in surveys and psychometric tests — from customer satisfaction and employee engagement to personality and mental-health self-report instruments.

What is the difference between a Likert item and a Likert scale?

A Likert item is a single statement rated for agreement. A Likert scale is a set of Likert items whose scores are summed or averaged to measure one construct.

Is a Likert scale ordinal or interval?

Technically ordinal — the intervals between response points are not proven equal. In practice, summed multi-item scales are often treated as approximately interval for analysis.

How many points should a Likert scale have?

There is no universal answer. 5-point is the most common and works for most audiences; 4-point forces a choice by removing the neutral option; 7-point offers more precision. Choose based on your respondents and measurement needs.

What is a 4-point Likert scale?

A 4-point Likert scale removes the neutral midpoint, forcing respondents to lean agree or disagree. It is used when researchers want to avoid neutral "fence-sitting" responses.

Key Takeaways

• A Likert scale measures attitudes by asking respondents to rate agreement with statements and summing the results.
• Invented by Rensis Likert (1932), it is the most widely used survey format in the social sciences.
• 5-point and 7-point agreement formats are the most common; 4-point formats remove the neutral option.
• Good design uses clear single-barreled statements, balanced reverse-worded items, and multiple items per construct.
• Scores are ordinal; sum items for a total score, check reliability with Cronbach's alpha, and choose statistics accordingly.

Related Resources

• Questionnaire Method — designing the questionnaires that carry Likert items
• Correlation Analysis — analyzing relationships between Likert scores
• Reliability and Validity — how psychometric quality is judged
• Z-Score Table Tool — standardizing scores for statistical analysis
• Likert Scale Generator — build and preview your own Likert-style items
• Research Methods Home — the toolkit behind survey and experiment design
• Psychology Research Home — theories and experiments that use self-report scales

Methodology

Methodology: This topic is part of the experimental workflow covered in Experimentology. For the relevant methods and how they are evaluated in real experiments, see Measurement.

References

• Likert, R. (1932). A technique for the measurement of attitudes. Archives of Psychology, 22(140), 1-55.