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  2. Abundant information can be collected and analyzed using a rating scale. The analysis of answer received for rating scale questions is quick and less time-consuming. Rating scale is often considered to a standard for collecting qualitative and quantitative

    • 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

    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.

  3. 2024年3月26日 · Understand the Purpose: Identify the objective of your rating scale (e.g., measuring brand loyalty or customer satisfaction) and choose the scale type (e.g., Likert Scale, Numeric Rating Scale, Comparative Scale) that best fits your product research goals.

  4. en.wikipedia.org › wiki › Rating_scaleRating scale - Wikipedia

    A rating scale is a method that requires the rater to assign a value, sometimes numeric, to the rated object, as a measure of some rated attribute.

  5. 2024年2月26日 · A rating scale is a closed-ended, multiple-choice UX survey question where each answer carries a specific weight or value. Responders can choose from several answer options to explain how they feel about a product, idea, or statement.

  6. 2020年7月3日 · A Likert scale is a rating scale used to measure opinions, attitudes, or behaviors. It consists of a statement or a question, followed by a series of five or seven answer statements. Respondents choose the option that best corresponds with how they feel about the statement or question.

  7. 2021年1月15日 · 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. How easy you found something to complete.

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