Likert Scale: Assessing Respondents' Opinions
June 4, 2025 Reading time ≈ 5 min
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What is Likert Scale
The Likert Scale is a psychometric scale commonly used in surveys to gauge the opinions or attitudes of respondents. It is named after American sociologist Rensis Likert, who introduced the method in 1932. The Likert Scale consists of an ordered set of responses to a specific question or statement, allowing respondents to assess their agreement or disagreement on a five- or seven-point scale.
Advantages of the Likert Scale
The Likert Scale has several advantages that make it a popular tool for research and surveys:
- Ease of understanding and use. The Likert Scale is easily understood by respondents, which allows data to be collected quickly and efficiently. Respondents do not need any special knowledge or training to participate in the survey.
- Flexibility. The scale can be adapted to various types of questions and statements, making it a versatile tool for studying a wide range of topics.
- Quantitative and qualitative data. The Likert Scale allows for the conversion of qualitative attitudes (such as degree of agreement or disagreement) into quantitative data, which is easier to analyze and interpret.
- Sensitivity to nuances in opinions. By offering multiple levels of agreement or disagreement, the scale accurately reflects the respondent's opinion, including moderate and neutral positions.
- Comparability of data. Data collected using the Likert Scale is easy to compare across different groups of respondents or different time periods.
- Suitable for statistical analysis. The Likert Scale allows the use of various statistical methods for data analysis, including mean, median, mode, and even more complex analyses such as factor analysis.
- Anonymity. Respondents can express their opinions without the fear of being identified, leading to more honest and accurate answers.
- Scalability. The Likert Scale can be easily integrated into different survey formats, including paper questionnaires, online surveys, and phone interviews, making it convenient for large-scale research.
Examples of Likert Scale Usage
Questions based on the Likert Scale are widely used in various research fields to study different aspects. For example, in surveys aimed at measuring customer satisfaction or analyzing employee motivation and engagement:
Customer Satisfaction Level:
How satisfied are you with the quality of our product/service?
- Very dissatisfied
- Dissatisfied
- Neutral
- Satisfied
- Very satisfied
How likely are you to recommend our company to a friend or colleague?
- Extremely unlikely
- Unlikely
- Neutral
- Likely
- Extremely likely
Defining Employee Motivation and Engagement:
How engaged do you feel in your work at our company?
- Not engaged at all
- Rather not engaged
- Neutral
- Rather engaged
- Fully engaged
How satisfied are you with the working environment at our company?
- Very dissatisfied
- Dissatisfied
- Neutral
- Satisfied
- Very satisfied
These questions help organizations measure and analyze customer satisfaction and employee motivation, which is key to improving service quality, products, and the work atmosphere. Variations of the Likert Scale allow for tailoring questions to the specific needs of the research, making them a powerful tool for obtaining valuable insights.
When to Use the Likert Scale
The Likert Scale survey is suitable for use in various situations where it is important to measure the degree of agreement or disagreement, satisfaction level, or attitude towards a specific issue. Here are some scenarios where its application is particularly appropriate:
- Measuring attitudes and satisfaction. This can include customer satisfaction with a product or service, employee attitudes towards the work environment, or agreement with corporate policies.
- Evaluating feedback after events. To gather participants' opinions on various aspects of an event, such as training courses, conferences, or seminars.
- Research in social and educational sciences. To study social, psychological, and educational phenomena, including attitudes, preferences, and behaviors of people.
- Marketing research. To identify consumer preferences, test new ideas or products, and study brand perception.
- Evaluating the effectiveness of training. To assess how well training programs or courses meet the needs and expectations of students.
- Human resource management. To measure motivation, engagement, and job satisfaction among employees in an organization.
- Improvement planning. When organizations are looking for ways to improve their products, services, or internal processes, Likert Scale surveys can identify key areas for enhancement.
The use of the Likert Scale is especially valuable when a nuanced analysis of opinions is needed, as it allows participants to express the degree of their agreement or disagreement, beyond just a simple "yes" or "no".
How to Use the Likert Scale Effectively
To use the Likert Scale effectively in research and surveys, it is recommended to follow several key principles:
- Ensure that questions and statements are clear and unambiguous to avoid confusion among respondents. Avoid ambiguity and specialized terminology that may not be understood by all participants.
- The scale should be consistent and identical for all survey questions so that the results are comparable and easy to interpret. A five- or seven-point scale is usually used, where 1 may represent "strongly disagree" and 5 or 7 represents "strongly agree".
- Include an equal number of positive and negative ratings on the scale, as well as an option for neutral responses, so that respondents can accurately express their opinions.
- The phrasing of questions should be neutral and not influence the respondent’s answer. Questions that suggest a particular response or contain biases can distort the results.
- Before conducting a survey with a large audience, test it on a small group of respondents. This helps identify unclear questions or problems with the response format.
- Make sure to use appropriate statistical methods to analyze the collected data. The Likert Scale often requires not only descriptive statistics but also more complex methods for in-depth analysis.
- Respect the anonymity and confidentiality of participants' responses. This is not only ethically correct but also helps obtain more honest and candid answers.
By following these recommendations, you can use the Likert Scale most effectively to obtain reliable and meaningful data that will help you better understand the opinions, preferences, and attitudes of your target audience.