Simple guide on Rating Scale, its definition, question examples and types; numerical rating, star rating, comparative rating, etc
You may also like:
Get free online likert scale template & samples without need for PDF, Excel or word format, questionnaire examples and creating online
This article will show you how to interpret NPS survey results, calculate your NPS, and vital tips for improving your business NPS.
This is a complete guide on 2,3,4,5,6,7,8,9,and 10 point likert scale, questionnaire examples, analysis and how to interprete all types...
This article will explain how the personal attributes questionnaire works, why it’s important and some questions you should include in... By Dr. Saul McLeod, published 2008, updated 2019 What is a Likert Scale?Various kinds of rating scales have been developed to measure attitudes directly (i.e. the person knows their attitude is being studied). The most widely used is the Likert scale (1932). In its final form, the Likert scale is a five (or seven) point scale which is used to allow the individual to express how much they agree or disagree with a particular statement. Likert scale (typically) provides five possible answers to a statement or question that allows respondents to indicate their positive-to-negative strength of agreement or strength of feeling regarding the question or statement.
A Likert scale assumes that the strength/intensity of an attitude is linear, i.e. on a continuum from strongly agree to strongly disagree, and makes the assumption that attitudes can be measured. For example, each of the five (or seven) responses would have a numerical value which would be used to measure the attitude under investigation. Likert Scale Examples for SurveysIn addition to measuring statements of agreement, Likert scales can measure other variations such as frequency, quality, importance, and likelihood, etc.
How can you analyze data from a Likert scale?The response categories in Likert scales have a rank order, but the intervals between values cannot be presumed equal. Therefore, the mean (and standard deviation) are inappropriate for ordinal data (Jamieson, 2004) Statistics you can use are:
Critical EvaluationStrengthsLikert 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 with relative ease. 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 reported when people were asked to write their names, addresses and telephone numbers on their questionnaire than when they told not to put identifying information on the questionnaire. LimitationsHowever, 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? Download this article as a PDF How to reference this article:McLeod, S. A. (2019, August 03). Likert scale. Simply Psychology. www.simplypsychology.org/likert-scale.html ReferencesBowling, 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 Measurement of Attitudes. Archives of Psychology, 140, 1–55. Paulhus, D. L. (1984). Two-component models of socially desirable responding. Journal of personality and social psychology, 46(3), 598. How to reference this article:McLeod, S. A. (2019, August 03). Likert scale. Simply Psychology. www.simplypsychology.org/likert-scale.html Download this article as a PDF Home | About Us | Privacy Policy | Advertise | Contact Us Simply Psychology's content is for informational and educational purposes only. Our website is not intended to be a substitute for professional medical advice, diagnosis, or treatment. © Simply Scholar Ltd - All rights reserved |