Likely to recommend scale

    • [PDF File]Appendix C – Survey Scale Items Likelihood to Post ...

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      Appendix C – Survey Scale Items Likelihood to Post: Items measured on a 7 point Likert-type scale (Very Unlikely, Unlikely, - Somewhat Unlikely, Undecided, Somewhat Likely, Likely, Very Likely) Like01 How likely would you be to recommend to the programmer to post the questions

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    • [PDF File]The Ultimate Question® And the Net Promoter® Score

      https://info.5y1.org/likely-to-recommend-scale_1_93709c.html

      The Ultimate Question is, “How likely is it that you would recommend (this product, service, company) to a colleague or friend?” The answer scale is a 10-to-0 scale, with 10 defined as “Extremely Likely” to recommend, and 0 defined as “Not At All Likely” to recommend (see chart below).

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    • [PDF File]SCALES FOR EVALUATING

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      a 3-, 5-, or 7-point scale” Most common is a 5-point scale. The scale offers a balance of responses, with the middle response representing a “neutral” position. EXAMPLE How likely are you to recommend to your friends that they participate in the development of a neighbour plan?

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    • [PDF File]Creating a Self-Anchored Scale - Michigan State University

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      particularly sacred about a 100 point scale*. In fact, it is likely that such a scale allows for finer discriminations than humans are capable of making. For example, on a 0 to 100 scale of sadness, I can't distinguish between a 25 and a 26. Can you? Some people recommend using a seven point scale (0 = problem not present, 6 =

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    • [PDF File]Types of Data & Measurement Scales: Nominal, Ordinal ...

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      Types of Data & Measurement Scales: Nominal, Ordinal, Interval and Ratio CSc 238 Fall 2014 There are four measurement scales (or types of data): nominal, ordinal, interval and ratio. These are simply ways to categorize different types of variables. This topic is usually discussed in the context of academic

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    • [PDF File]Likert Scale Examples for Surveys - Iowa State University

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      Likert Scale Examples for Surveys Sorrel Brown ANR Program Evaluation Iowa State University Extension sorrel@iastate.edu Dec 2010 AGREEMENT • Strongly Agree

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