Likert scale
A Likert scale is an ordered response scale whose labeled categories express degrees of agreement, quality, intensity, preference, or another evaluated property.
The Well-Grounded Data Analyst
Likert data consists of ordered response categories that measure the degree of agreement, favorability, or another attitude.
- How it is used
- Uses ordered attitude responses to compare AI-tool favorability and trust across survey subgroups.
- How deep it goes
- Explains distribution checks, missing-value handling, explicit category ordering, crosstabs, and normalized heatmaps without statistical inference.
- Examples
- Uses AI-tool favorability and trust questions across current users, nonusers, aspiring users, and AI-use cases.
- What you can do after
- Apply it via pandas Categorical and crosstabs to order, summarize, and compare Likert-response distributions.
Read how The Well-Grounded Data Analyst explains Likert scale →
Effective Data Analysis
A Likert scale is an ordered response scale in which respondents indicate the degree to which they agree with or feel strongly about a statement or question.
- How it is used
- Collects single-response survey ratings of subjective perceptions, attitudes, beliefs, or experiences.
- How deep it goes
- Explains response-format choices and design cautions, but does not develop statistical analysis of scale results.
- Examples
- Uses a five-point agreement scale and an 11-point NPS question followed by a free-text prompt.
- What you can do after
- Practice/perform survey design by choosing balanced response options and checking wording before interpreting ratings.
Related concepts
- classifieralternative to · A classifier is a predictive computational model that assigns inputs to one or more discrete classes or categories.
- net promoter scoreused by · Net Promoter Score is a customer-loyalty metric calculated as the percentage of respondents rating recommendation likelihood 9 or 10 minus the percentage rating it 0 through 6 on a 0-to-10 scale.
- ordinal dataproduces · Ordinal data consists of categorical values with a meaningful order or rank, without necessarily having equal intervals between categories.
- user surveyused by · A user survey is a structured research method that collects standardized responses from users about their opinions, experiences, needs, or evaluations.
- retrieval rankingproduces · Retrieval ranking is the process of ordering retrieved candidates according to their estimated relevance or usefulness to a query.
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