5-Point Likert Scale Analysis and Interpretation

5 Point Likert scale analysis is frequently used because respondents can easily answer questions in this format. They don’t have to think too much and write a lot of lines to answer. They just simply can choose from already given answers. It is also easy to analyze.

The Likert Scale asks how much a person agrees or disagrees with a particular statement or question.

It is usually made up of a 5-point Likert rating scale ranging from one end to another with a neutral point in the middle.

• Strongly disagree = 1
• Disagree = 2
• Neutral = 3
• Agree = 4
• Strongly Agree = 5

After you get responses to these types of questions, how then do you check out the answers?

To analyze data from the Likert scale, you need a specific visual that gets you results in the least amount of time.

And that is what we will show you in this article.

Table of Content:

1. What is a 5-Point Likert Scale Analysis?
2. Video Tutorials: How to Create a 5-Point Likert Scale Chart
3. Why 5-Point Likert Scale Analysis is Important?
4. Types of 5-Point Likert Scale Analysis
5. Practical Example of a 5-Point Likert Scale
6. 5 Point Likert Scale Analysis Questions
7. How to Create a 5-Point Likert Scale Survey in 6 Steps?
   • Step 1: Define the Objective
   • Step 2: Design Clear and Specific Questions
   • Step 3: Choose the 5-Point Scale
   • Step 4: Ensure Balanced Responses
   • Step 5: Test the Survey
   • Step 6: Distribute the Survey
8. How to Analyzing and Interpreting 5 Point Likert Scale Survey?
9. Advantages and Disadvantages of Using 5-Point Likert Scale
10. Tips For 5-Point Likert Scale Analysis
11. Is the 5-Point Likert Scale Analysis Right for you?
12. 5-Point Likert Scale Analysis FAQs
13. Wrap Up

Before we dive into the deep analysis of the 5-Point Likert Scale, first we need to understand what the Likert Scale is.

What is a 5-Point Likert Scale Analysis?

Definition: The 5-Point Likert Scale Analysis is a commonly used tool in social sciences and research to measure attitudes, opinions, and perceptions. It involves a series of statements or questions rated on a scale of five responses, ranging from strongly agree to strongly disagree.

This numerical representation allows for quantifying subjective data, providing a structured approach to understanding individuals’ perspectives on a particular topic.

The analysis of responses gathered from this scale helps researchers gauge the intensity of attitudes or opinions, facilitating the interpretation of trends or patterns within a group or population under study.

Its simplicity and versatility make it a popular method for gathering and analyzing data in various fields, from psychology and education to market research and beyond.

Video Tutorials: How to Create a 5-Point Likert Scale Chart

How to Create a 5-Point Likert Scale Chart in Excel?

How to Create a 5-Point Likert Scale Chart in Google Sheets?

How to Create a 5-Point Likert Scale Chart in Power BI?

Why 5-Point Likert Scale Analysis is Important?

The 5-point Likert scale analysis is important because it simplifies data collection by providing clear, measurable responses, making it easy to analyze attitudes, opinions, and satisfaction.

It turns subjective feedback into quantifiable data, allowing for statistical analysis and pattern identification. This scale ensures consistency in responses, which helps in comparing and aggregating data.

Additionally, it offers flexibility, as the collected data can be analyzed in various ways, making it a versatile tool for gaining valuable insights in research and decision-making.

Types of 5-Point Likert Scale Analysis

1. Descriptive Analysis: This is the most basic form of analysis, where you calculate the frequency and percentage of each response (e.g., how many people selected “Strongly Agree” or “Agree”). This helps identify general trends in the data.
2. Mean Score Analysis: This method involves calculating the average score for each question. It helps summarize the overall sentiment or attitude of respondents toward a specific item or topic.
3. Cross-Tabulation: Cross-tabulation analyzes how responses to one question vary across different demographic or categorical groups. This can reveal patterns or relationships between variables.
4. Correlation Analysis: This method identifies relationships between multiple Likert scale questions. For example, it could explore how customer satisfaction correlates with product features or service quality.
5. Factor Analysis: Used for identifying underlying factors that explain patterns in responses. Factor analysis helps in grouping similar variables or questions to create broader constructs for analysis.

How to Analyzing and Interpreting 5 Point Likert Scale Survey?

Let us see how you can visualize your data obtained from survey analysis report using the Likert Scale for analyzing and interpreting results from it.

George runs a business where he sells skincare products.

He wants to know how his products are doing with customer satisfaction.

He needs the information to better optimize the products to suit his client’s needs.

Therefore, he creates a survey with a 5-point Likert scale.

The questions included in his survey were:

• The virtual models of customized products are realistic
• The information about customized components is identified
• The variety of customized products is satisfactory
• Image rotation is useful for viewing products from different angles

He made a table with stats as shown below:

Question	Rating	Count
The virtual models of customized products are realistic	1	324
The virtual models of customized products are realistic	2	176
The virtual models of customized products are realistic	3	230
The virtual models of customized products are realistic	4	270
The virtual models of customized products are realistic	5	0
The information about customized components is identified	1	138
The information about customized components is identified	2	186
The information about customized components is identified	3	176
The information about customized components is identified	4	230
The information about customized components is identified	5	270
The variety of customized products is satisfactory	1	0
The variety of customized products is satisfactory	2	138
The variety of customized products is satisfactory	3	186
The variety of customized products is satisfactory	4	176
The variety of customized products is satisfactory	5	500
Image rotation is useful for viewing products from different angles	1	5
Image rotation is useful for viewing products from different angles	2	100
Image rotation is useful for viewing products from different angles	3	146
Image rotation is useful for viewing products from different angles	4	116
Image rotation is useful for viewing products from different angles	5	420

• Next, he installed ChartExpo from here and then opened it by clicking on Extensions on the Google Sheet interface.

• Then he copied and pasted the above table in the sheet and continued to explore ChartExpo on the right side of the screen.
• After he opened ChartExpo, he clicked on the ‘Add new chart’ button.

• Next, he selected the ‘Likert Scale Chart’.

• He then selected the sheet that had his data.
• He used ‘Count’ as a metric and added ‘Question’ and ‘Rating’ as dimensions.
• Then, he clicked on ‘Create Chart’.

If you want to learn more about customizing this chart and setting properties, header, footer, and labels you can read our guide on how to present Likert scale data.

From this chart, he was able to get insight into his customers’ mindset.

He could know whether his customers are satisfied with your product’s customization or not.

This will make George more confident about his products.
It will help him to hone his strengths and make his products more suitable for customers.

Advantages and Disadvantages of Using 5-Point Likert Scale

Advantages of Using 5-Point Likert Scale

Here are some benefits of using the 5-Point Likert Scale in your research and survey analysis.

•   It is relatively easier for the respondents to understand

The 5-point scale is simple.

The neutral standpoint is easy to identify with.

The opposing extremes are also easy to understand as either completely positive reviews or negative.

• A 5-point scale is ideal for a larger study

Respondents can easily give more honest and relevant opinions with a lower amount of choices.

Also, on your part, the 5-point scale works well when sampling the opinions of a large audience.

It is so because you have fewer irrelevant options to go through and understand.

•  A 5-point scale tends to produce better data distributions

This just means that you can reach into the true emotions of your respondents with the 5-point scale.

This helps you to get the relevant data that you need and eventually draw conclusions that you can work on.

Now, let us see the few cons of using the 5-point Likert scale.

Disadvantages of using 5 Point Likert Scale Analysis

Let’s discuss some disadvantages of using the 5-Point Likert Scale.

•  A 5-point scale sometimes cannot measure all the attitudes on a subject.

It is what it is.

The 5-point scale may sometimes be inadequate to measure all the sentiments towards a particular issue. The respondents may need more options to express themselves for you to get accurate data.

In some situations, the 5-point scale may be restrictive for the respondents. This thereby causes them to make choices too mindlessly or critically.

•  The results of a 5-point scale might not be objective.

The data obtained from the 5-point scale may not effectively communicate the objective opinions of people.

It may not also achieve the aim of the research or survey.

Tips For 5-Point Likert Scale Analysis

1. Calculate Mean Scores: Compute the average score for each question to quantify overall sentiment and gain a clear understanding of responses.
2. Analyze Frequency Distributions: Examine the frequency and percentage of each response option to identify trends and patterns in the data.
3. Use Cross-Tabulation: Compare responses across different groups or categories (e.g., age, location) to uncover variations and relationships in the data.
4. Look for Patterns and Trends: Identify consistent trends or significant differences in responses to gain actionable insights for decision-making.
5. Avoid Over-Interpretation of Neutral Responses: Be cautious with “Neutral” responses, as they may indicate indecision, lack of knowledge, or neutrality rather than an actual opinion.

Is the 5-Point Likert Scale Analysis Right for you?

You do not want to use a 5-point scale when you measure opinions on a complex subject.

When measuring a complex service or operation like customer engagement and store experience.

You need a wider array of opinions and information in such a situation.

However, if you are seeking to know how patients and visitors feel about the cleanliness at the hospital, a smaller range of options will suffice.

Also, more sentiment levels will keep your respondents from congregating at the neutral point.

When presented with options that do not exactly represent their feelings and ideas, respondents tend to be neutral.

Adding more options also delivers more accurate attitudes and avoids unnecessary distortions in data.

The downside of having too many options is that people can get weary and distracted.

In these times, people suffer from information overload.

And this can affect the responses of your audience.

Therefore, this evidence shows that the 5-point scale can keep your audience from losing interest.

It will also make it easy for them to check out the options and choose which one best suits their opinion.

Also, the 5-point scale eliminates the urge to gravitate towards the neutral point.

It also eliminates the desire to leave the questions blank and unanswered.

5-Point Likert Scale Analysis FAQs

Why use a 5-point scale instead of a 7-point or 10-point scale?

A 5-point scale strikes a balance between providing enough response options and maintaining simplicity and ease of use for respondents.

How do you handle neutral responses in Likert scale analysis?

Neutral responses can be included in the analysis to represent indifference or uncertainty, or they can be excluded depending on the research goals.

How do you analyze data collected using a 5-point Likert Scale?

Data analysis involves calculating means, medians, or modes to determine the central tendency of responses. Researchers also often conduct statistical tests like t-tests or ANOVA to compare groups or assess the significance of differences.

Additionally, visual representations like bar charts or histograms can help in understanding the distribution of responses across the scale.

Wrap Up

Analyzing data can be as difficult as rocket science. Before analyzing data, you have to make sure that you get a relevant dataset. This can prove difficult due to the conditions and feelings of people.

The Likert scale survey measures the opinions of people concerning a subject. However, some people might be too polite to give you an honest opinion. Some might have lots of information on their minds that they take your survey mindlessly.

However, the 5-point scale is a haven for many analysts. It gets to the crux of the matter without boring or overwhelming your respondents.

Analysis and visualization of your Likert scale data have been made overly easy with ChartExpo by introducing the Likert Scale Chart. The above analysis proves that the Likert Scale Chart is the best way to present survey results.

It does not have to be rocket science anymore.

You’ve got this!