Likert Scale Average Calculator

Likert Scale Average Formula:

\[ \mu = \frac{\Sigma(x_i \times f_i)}{\Sigma f_i} \]

Likert Scale Average:

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1. What is a Likert Scale Average Calculator?

Definition: This calculator computes the weighted average of responses from a Likert scale survey.

Purpose: It helps researchers and analysts quantify subjective data from surveys and questionnaires.

2. How Does the Calculator Work?

The calculator uses the formula:

\[ \mu = \frac{\Sigma(x_i \times f_i)}{\Sigma f_i} \]

Where:

\( \mu \) — Mean score (dimensionless)
\( x_i \) — Score value (dimensionless)
\( f_i \) — Frequency (dimensionless)

Explanation: Each score is multiplied by its frequency, summed, and then divided by the total number of responses.

3. Importance of Likert Scale Analysis

Details: Calculating averages from Likert scale data allows for quantitative analysis of qualitative survey responses, enabling comparison and trend analysis.

4. Using the Calculator

Tips: Enter comma-separated values for scores (e.g., 1,2,3,4,5) and their corresponding frequencies (e.g., 10,20,30,25,15). Both lists must have the same number of values.

5. Frequently Asked Questions (FAQ)

Q1: What is a typical Likert scale range?
A: Common ranges are 1-5 (Strongly Disagree to Strongly Agree) or 1-7, but any numeric scale can be used.

Q2: How do I interpret the average?
A: Compare to your scale midpoint. For a 1-5 scale, 3 is neutral; higher means more positive responses.

Q3: What if my frequencies are percentages?
A: Convert to counts or enter as decimals (e.g., 0.25 for 25%).

Q4: Can I use this for non-Likert data?
A: Yes, it works for any weighted average calculation with numeric scores.

Q5: How precise should the average be?
A: Typically 2-3 decimal places is sufficient for Likert scale analysis.