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Four primary types of rating scales can be suitably used in an online survey: Graphic ; Numerical ; Descriptive ; Comparative ; Graphic Rating Scale: It indicates the answer options on a scale of 1-3, 1-5, etc. Likert Scale is a popular graphic rating scale example. Respondents can select a particular option on a line or scale to depict rating.
- Linear Numeric Scale
- Likert
- Multiple Rating Matrix
- Frequency Scales
- Forced Ranking Scale
- Pick Some
- Paired Comparison Scale
- Comparative Scale/Comparative Intensity
- Semantic Differential Scale
- Adjective Checklist
- GeneratedCaptionsTabForHeroSec
In a linear numeric scale, participants provide some numeric response to a question or statement. This can include things like satisfaction, ease, brand favorability, feature importance, or likelihood to recommend. The Single Ease Question (SEQ) and likelihood to recommend item used in the NPS are examples of linear numeric scales. Linear numeric s...
The classic Likert scale has participants agree or disagree (or approve/disapprove) to multiple statements. When numbers are associated with each response option, the Likert item can be seen as a special case of the linear numeric scale. The classic Likert item uses a 5-point response scale, but you can use 7, 9, or other points, too. (Although som...
The matrix question is a compact way of presenting multiple linear numeric items and is the typical method for displaying Likert items, too. It’s probably not technically different from a linear numeric scale but I’ve separated it out because they’re so popular for online surveys. For example, when having participants rate their brand attitude, it’...
Understanding how often people perform (or think they perform) actions helps when product planning as in the example below. When listing the frequency of actions, consider both specific number of times (e.g. every day) as well as more general timeframes (sometimes, always, never—referred to as a verbal frequency scale). Also, be sure the frequencie...
Forced ranking scales are good for prioritizing product features. Having participants rate their interest on a linear numeric scale may result in the problem of every feature being important because there’s no disincentive for rating everything high. I recommend keeping the number of items to fewer than 10 when possible and randomize their presenta...
When you have a long list for participants to prioritize (e.g. more than 10 and especially more than 20) but don’t want them to have to rank all of the items, have participants select a fixed subset, such as 3 or 5. This is what we do for a top-tasks analysis. Again, it’s important to randomize the order to avoid items near the top being favored. S...
When you want to force a choice between two alternatives (sort of a mini-rank) such as a preference for a website, brand, or design, use a paired comparison scale. Paired comparisons can also be used on specific attributes of a website, product, or brand as shown below for different aspects of two rental car websites. They’re also used in advanced ...
You can have participants rate their preference and strength of preference all in one item using a comparative scale. The scale below asks participants to rate their preference and intensity for two rental car companies on four website attributes. It can also be used to gauge participants’ preferences toward a known external benchmark such as a fam...
When you want to assess where participants fall on a continuum of adjectives or attributes, use a semantic differential scale. You need to provide clear polar opposite terms (like hot to cold)—which can be easy in principle but hard in practice. For this reason, we don’t use these as often and prefer the next two options. The semantic differential ...
When assessing brand attitude, the adjective checklist is a staple. It’s also the technique used in the Microsoft Desirability Toolkit.Instead of aligning opposite adjectives, you can list them (usually a mix of positive and negative) for participants to select. Again, randomize the presentation order.
Learn about different types of rating scales used in surveys, such as linear numeric, Likert, frequency, forced ranking, and more. See examples, advantages, and disadvantages of each scale and how to choose the right one for your research.
Jan 15, 2021 · What is a rating scale? A rating scale is a type of survey question that uses closed questions, when gaining information from a respondent. The closed questions provide answers in the form of a range of choices from one theme. These themes can include: Satisfaction level; The extent to which you agree with a statement
Mar 26, 2024 · Learn about different types of rating scales, how to choose the best one for your survey goals, and how to analyze the data. Find examples, best practices, and tips for using rating scales in customer research.
Jul 3, 2020 · A Likert scale is a rating scale used to measure opinions, attitudes, or behaviors. Learn how to write and use Likert scale questions and responses, and how to analyze the data from them.
- What is a Likert scale?A Likert scale is a rating scale that quantitatively assesses opinions, attitudes, or behaviors. It is made up of 4 or more questions that meas...
- Are Likert scales ordinal or interval scales?Individual Likert-type questions are generally considered ordinal data , because the items have clear rank order, but don’t have an even distribut...
- What is operationalization?Operationalization means turning abstract conceptual ideas into measurable observations. For example, the concept of social anxiety isn’t directly...
Mar 5, 2020 · Learn what a rating scale is and how to use it in surveys to measure opinions, preferences, and perceptions. Explore different types of rating scales such as numerical, Likert, radio frequency, and paired comparison scales with examples.
Feb 26, 2024 · Learn how to use rating scales to quantify user behavior, feelings, and opinions in your surveys. Explore eight types of rating scales, from numerical to semantic-differential, and see examples and best practices.
