Which of the following best describes a Likert scale?

Which of the following best describes a Likert scale?

• A. A binary response tool
• B. A numeric rating scale for measuring attitudes
• C. A descriptive qualitative analysis method
• D. A framework for observational studies

Answer: (B)

A Likert scale is indeed best described as a numeric rating scale for measuring attitudes. This type of scale typically presents respondents with a statement and asks them to indicate their level of agreement or disagreement on a symmetric agree-disagree scale for a series of statements. Commonly, this scale ranges from 1 to 5 or 1 to 7, with options ranging from "strongly disagree" to "strongly agree." The resulting data from a Likert scale is quantitative, allowing researchers to gauge the intensity of feelings or opinions about a subject. The use of this scale is particularly popular in surveys and questionnaires in sociology, psychology, and market research because it provides nuanced data on attitudes, beliefs, and behaviors. This numeric scale allows for more sophisticated statistical analysis and comparison than merely measuring with binary responses or simple qualitative data.

A Likert scale is indeed best described as a numeric rating scale for measuring attitudes. This type of scale typically presents respondents with a statement and asks them to indicate their level of agreement or disagreement on a symmetric agree-disagree scale for a series of statements. Commonly, this scale ranges from 1 to 5 or 1 to 7, with options ranging from "strongly disagree" to "strongly agree." The resulting data from a Likert scale is quantitative, allowing researchers to gauge the intensity of feelings or opinions about a subject.

The use of this scale is particularly popular in surveys and questionnaires in sociology, psychology, and market research because it provides nuanced data on attitudes, beliefs, and behaviors. This numeric scale allows for more sophisticated statistical analysis and comparison than merely measuring with binary responses or simple qualitative data.