If respondents are asked the extent to which they "strongly agree, agree, disagree, or strongly disagree" with a particular statement this is an example of:

Question

BlackTom AI · Accepted Answer

The question asks about the data collection format where respondents indicate their level of agreement using categories like strongly agree, agree, disagree, or strongly disagree.
Option 1: Likert scale. This exactly describes the standard format for measuring attitudes or opinions with ordered categories reflecting level of agreement, making it the correct match to the described scenario.
Option 2: open-ended question. An open-ended item invites respondents to write free-form text, not select from predefined ordered categories of agreement, so this is not the described method.
Option 3: semantic differential. This format typically uses a numeric or labeled scale between two bipolar adjectives (e.g., good–bad, satisfied–dissatisfied) and often involves rating on a multi-item scale rather than a direct agree/disagree continuum, so it doesn’t fit the described question.
Option 4: semantic scale. While related to semantic differential concepts, the term is less standard for a straightforward agree/disagree prompt; it is not the conventional wording for Likert-style agreement items.
Option 5: dichotomous question. A dichotomous (two-choice) question would force a yes/no or agree/disagree response without multiple ordered options, which is inconsistent with the described four-point scale.
In summary, the scenario aligns with a structured, ordered response format designed to gauge intensity of agreement, which aligns with the Likert scale, while the other options describe different types of question formats that do not fit this exact approach.

If respondents are asked the extent to which they "strongly agree, agree, disagree, or strongly disagree" with a particular statement this is an example of:

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