Likert Scale Analysis

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What is likert scale analysis?

Likert scale analysis is a commonly used method in social sciences to measure attitudes, beliefs, and opinions of individuals. This analysis is based on the Likert scale, which is a psychometric scale consisting of a series of statements that express different levels of agreement or disagreement. Participants are asked to indicate their level of agreement or disagreement with each statement by selecting a response option from the scale, usually ranging from 'strongly disagree' to 'strongly agree'. The data collected through Likert scale analysis can provide valuable insights into the attitudes and opinions of a particular group.

What are the types of likert scale analysis?

There are several types of Likert scale analysis that can be used depending on the research objectives and the data being collected. Some of the common types of Likert scale analysis include:

Summative Likert scale analysis: This type of analysis involves calculating the total score for each participant by summing the responses across all the items in the Likert scale. The total score represents the overall attitude or opinion of the participant towards the topic being measured.

Average Likert scale analysis: In this type of analysis, the average score is calculated for each participant by averaging the responses across all the items in the Likert scale. The average score provides an estimate of the typical attitude or opinion of the participants.

Factor analysis: This type of analysis is used to identify underlying factors or dimensions within the Likert scale. It helps in understanding whether the items in the scale are measuring the same construct or multiple constructs. Factor analysis can be useful for reducing the complexity of the data and identifying meaningful patterns.

How to complete likert scale analysis

Completing likert scale analysis involves several steps to ensure accurate and meaningful results. Here is a step-by-step guide on how to complete likert scale analysis:

01

Design the Likert scale: Start by designing a set of statements that represent the attitudes or opinions you want to measure. Make sure the statements cover the entire range of possible responses and are clear and concise.

02

Administer the Likert scale: Distribute the Likert scale to the participants and instruct them to indicate their level of agreement or disagreement with each statement. Encourage honest and thoughtful responses from the participants.

03

Collect the responses: Collect the responses from the participants and record them in a spreadsheet or any suitable data collection tool. Ensure that the responses are accurately recorded and properly organized for analysis.

04

Analyze the data: Depending on the type of analysis you want to perform, use appropriate statistical methods to analyze the Likert scale data. Calculate the total scores, average scores, or conduct factor analysis as necessary.

05

Interpret the results: Once the data analysis is complete, interpret the results in the context of your research objectives. Look for patterns, trends, or significant differences in the responses to gain insights into the attitudes and opinions of the participants.

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Questions & answers

How do you analyze data from a Likert scale?

A Likert scale is composed of a series of four or more Likert-type items that represent similar questions combined into a single composite score/variable. Likert scale data can be analyzed as interval data, i.e. the mean is the best measure of central tendency. use means and standard deviations to describe the scale.

How do you Analyse Likert scale questionnaire in Excel?

Step-by-Step Procedure to Analyze Likert Scale Data in Excel Step 1: Create Survey Form and Make Dataset. Step 2: Count Blank and Non-Blanck Responses of Likert Scale Data. Step 3: Count All Feedback from Dataset. Step 4: Calculate Percentage of Each Feedback. Step 5: Make Report on Likert Scale Analysis.

What is the best way to report Likert scale data?

Best way to present likert scale data is by using Likert Scale Chart. To examine your data, use one of the many variance analysis tests available. To test attitudes throughout time, many attitudinal surveys are conducted at two separate times in time.

How do you analyze Likert scale survey data in Excel?

How to Analyze Likert Scale Data in Excel (with Quick Steps) Step 1: Create Survey Form and Make Dataset. Step 2: Count Blank and Non-Blanck Responses of Likert Scale Data. Step 3: Count All Feedback from Dataset. Step 4: Calculate Percentage of Each Feedback. Step 5: Make Report on Likert Scale Analysis.

How do you analyze a 5 point Likert scale?

Step 1: For each question on the questionnaire, calculate the total number of responses for each sentiment level (Strongly Disagree, Disagree, Neutral, Agree, Strongly Agree). Step 2: Add the totals, and divide by the total number of respondents: 1 + 0 + 0 + 0 + 5 = 6 / 2 respondents = 3.

How do you interpret Likert scale data for correlation analysis?

There is no problem in using the likert scale but i can recommend you to use the 5 points scaled as 1=strongly disagree, 2=agree. 3=not sure. 4=disagree. and 5=strongly disagree. and in using this make sure that you provide the mean ranges of the scales and their interpretations.