Likert Scale

Likert Scale Definition

A Likert scale is a widely used psychometric technique employed to measure the strength of an individual’s attitude or predisposition towards a specific person, object, idea, or phenomenon. Developed by Rensis Likert in 1932, this method involves presenting respondents with a series of statements and asking them to indicate their level of agreement or disagreement, typically using a graded response scale. The responses are then aggregated to produce a summated rating that quantifies the attitude being measured.

Construction and Methodology

The process of constructing a Likert scale begins by formulating a set of statements designed to elicit responses that discriminate clearly between extreme views on the subject under investigation. These statements, which may be positively or negatively phrased, are administered to a sample representative of the target population. Respondents rate each statement according to a defined continuum, often using five-point bipolar categories such as Strongly Agree, Agree, Undecided, Disagree, and Strongly Disagree. Scores are then coded numerically (e.g., 5, 4, 3, 2, 1) before being aggregated to form a numerical scale. Researchers subsequently assess the internal consistency and reliability of the scale, often employing statistical techniques such as factor analysis, to ensure that the items collectively measure only one dimension of the construct.

Theoretical Basis

The underlying assumption of the Likert scale is that attitudes exist along a simple, dichotomous continuum, allowing for continuous measurement across the spectrum of opinion (e.g., between capitalism and communism, or religion and atheism). This framework allows researchers to quantify subjective psychological states into measurable data points.

Evaluation and Limitations

Attitudinal scales are valuable research tools because they can be designed to be attractive to participants, thereby increasing response rates and improving the reliability of generalisations. However, the technique is subject to methodological challenges. Potential issues include acquiescence bias, where respondents tend to agree with statements regardless of their true belief, and social desirability bias, where individuals present themselves in a manner they perceive as socially acceptable. To mitigate these limitations, robust scale construction requires piloting the statements on a representative sample, reversing items for scoring, conducting thorough reliability analyses, and rigorously checking validity to ensure the scale accurately measures the intended psychological construct.