Likert Scale unit 5 Flashcards
(10 cards)
Q: What is a Likert scale?
A: A Likert scale is a rating scale used to measure opinions, attitudes, or behaviors, typically through 5 or 7 answer choices indicating levels of agreement, frequency, satisfaction, or importance.
Q: What are response anchors in a Likert scale?
A: Response anchors are the labeled options provided for each item on a Likert scale, often ranging from strong disagreement to strong agreement, with a neutral midpoint.
Q: What are the main differences between a 5-point and a 7-point Likert scale?
A: A 5-point scale is simpler and easier to use, while a 7-point scale allows for more detailed responses, helpful in capturing nuanced opinions but potentially increasing survey fatigue.
Q: When is it most appropriate to use a Likert scale?
A: When measuring attitudes, opinions, feelings, or unobservable characteristics that can’t be captured through yes/no questions.
Q: How should Likert scale questions be written to ensure clarity and accuracy?
A: Use precise wording, include both positively and negatively framed statements, and avoid bias, double negatives, and double-barreled questions.
Q: What are double-barreled questions, and why should they be avoided?
A: These are questions that ask about two things at once, potentially confusing respondents and resulting in inaccurate or neutral answers.
Q: What is the difference between unipolar and bipolar Likert scales?
A: Unipolar scales measure a single attribute (e.g., satisfaction only), while bipolar scales measure two opposite attributes on a continuum (e.g., satisfaction vs. dissatisfaction).
Q: Why should response options be mutually exclusive in a Likert scale?
A: To prevent overlap and confusion that could lead respondents to select answers randomly.
Q: What is a potential issue with including a “Don’t know” option in Likert scales?
A: It can be overused by unmotivated respondents, reducing the quality of the data collected.
Q: How is data from Likert scales analyzed?
- For ordinal data: find the mode and use bar charts.
- For interval data: calculate totals, mean scores, and standard deviation to assess the sample’s overall trends.
