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A Likert scale (/ ˈlɪkərt / LIK-ərt, [1][note 1]) is a psychometric scale named after its inventor, American social psychologist Rensis Likert, [2] which is commonly used in research questionnaires. It is the most widely used approach to scaling responses in survey research, such that the term (or more fully the Likert-type scale) is often ...
Likert scale definition:A Likert scale is a quantitative analysis data collection tool used in surveys and research to assess individuals’ attitudes, opinions, or perceptions. This scale presents a series of statements or questions to respondents. The responses are assigned numerical values, allowing for quantitative analysis of the data.
- Critical Evaluation
- References
- Further Information
Strengths
Likert Scales have the advantage that they do not expect a simple yes / no answer from the respondent but rather allow for degrees of opinion and even no opinion at all. Therefore, quantitative data is obtained, which means that the data can be analyzed relatively easily. Offering anonymity on self-administered questionnaires should further reduce social pressure and thus may likewise reduce social desirability bias. Paulhus (1984) found that more desirable personality characteristics were re...
Limitations
However, like all surveys, the validity of the Likert scale attitude measurement can be compromised due to social desirability. This means that individuals may lie to put themselves in a positive light. For example, if a Likert scale was measuring discrimination, who would admit to being racist?
Bowling, A. (1997).Research Methods in Health. Buckingham: Open University Press. Burns, N., & Grove, S. K. (1997). The Practice of Nursing Research Conduct, Critique, & Utilization. Philadelphia: W.B. Saunders and Co. Jamieson, S. (2004). Likert scales: how to (ab) use them. Medical Education, 38(12), 1217-1218. Likert, R. (1932). A Technique for ...
The Likert scale is a well-loved tool in the realm of survey research. Named after psychologist Rensis Likert, it measures attitudes or feelings towards a topic on a continuum, typically from one extreme to the other. The scale provides quantitative data about qualitative aspects, such as attitudes, satisfaction, agreement, or likelihood.
- Nominal. The simplest measurement scale we can use to label variables is a nominal scale. Nominal scale: A scale used to label variables that have no quantitative values.
- Ordinal. The next type of measurement scale that we can use to label variables is an ordinal scale. Ordinal scale: A scale used to label variables that have a natural order, but no quantifiable difference between values.
- Interval. The next type of measurement scale that we can use to label variables is an interval scale. Interval scale: A scale used to label variables that have a natural order and a quantifiable difference between values, but no “true zero” value.
- Ratio. The last type of measurement scale that we can use to label variables is a ratio scale. Ratio scale: A scale used to label variables that have a natural order, a quantifiable difference between values, and a “true zero” value.
Some important confounding factors may be raised, for example, subclinical hypothyroidism in setting TSH intervals. Whatever process is used to define a reference interval, it will be necessary at some stage to confirm the validity of the proposed reference interval with clinical colleagues, based on their experience using that test to manage ...
People also ask
What is an example of an interval scale?
Is Likert data a 'interval'?
Can Likert scale data be used as a basis for interval level estimates?
When should a reference interval be used?
Should a reference interval limit be rounded in or out?
What factors are important in setting reference intervals?
3. Treating Likert data as ratio would be bizarre as there is not a natural zero point. You could, for example, translate the entire scale by any constant and the meaning would be the same. The "interval" approach is very common in the literature I am most familiar with (psychology). However, I cringe when reading a paper that treats Likert ...
