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  6. Utilization of the 5-point rating scale (Likert scale) in surveys

Utilization of the 5-point rating scale (Likert scale) in surveys

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last updated:Aug 08, 2025

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Explanation of the rating scale method and points to note when using the Likert scale!

Have you ever seen a survey that asks about the degree of agreement using multiple choice options? The method of having respondents evaluate a specific object or phenomenon according to a pre-established clear evaluation scale is called the "rating scale method," and that evaluation scale is referred to as the "Likert scale." The Likert scale originates from an American sociologist and has now become one of the representative means of measuring respondents' opinions, perceptions, and behaviors. Since the Likert scale does not require respondents to answer with clear-cut facts, it allows for the collection of degrees or variations even for questions that are difficult to answer in black and white, enabling deeper analysis of surveys. It is also widely used in multivariate analysis. *For more detailed content of the column, you can view it through the related links. Please feel free to contact us for more information.

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アンケートにおける5段階評価.jpg

Utilization of the 5-point rating scale (Likert scale) in surveys

アンケートにおける5段階評価.jpg
アンケートにおける5段階評価.jpg
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Our company conducts net research operations, recruiting (participant recruitment for group interviews, venue surveys, etc.), and more. If you have concerns such as "I don't know what kind of research to conduct," "I want to know what can be done with surveys," or "I need data to support my claims," please feel free to consult with us. Additionally, we also conduct participant recruitment for academic research and clinical trials. We recruit participants based on research themes from over 16 million registered individuals, including our partner panels. The composition of the panels covers all of Japan, primarily focusing on Tokyo and Osaka, and we have a wealth of experience with the elderly demographic. *Please note that we are unable to assist with clinical trials.

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