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Analyzing Liker Data April 2012 Volume 50 Number 2 Article Number 2TOT2 Return to Current IssueAnalyzing Liker Data Harry N. Boone, Jr. Associate Professor hnboone@wvu.edu Deborah A. Boone Associate

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1. Begin by collecting all the likert data from your survey or research study. This data typically consists of responses to statements or questions, with participants indicating their agreement or disagreement on a scale (e.g., strongly agree, agree, neutral, disagree, strongly disagree).
2. Organize the likert data in a spreadsheet or statistical software program, with each row representing a participant and each column representing a specific statement or question.
3. Assign numerical values to each response option on the likert scale. For example, you could assign a value of 5 to "strongly agree," 4 to "agree," 3 to "neutral," 2 to "disagree," and 1 to "strongly disagree."
4. Calculate the mean (average) score for each statement or question by summing up the numerical values assigned to the responses and dividing it by the total number of participants. This provides a measure of the overall agreement or disagreement on each item.
5. Calculate measures of variability, such as the standard deviation, to determine the spread or dispersion of the likert data. This can indicate how much agreement or disagreement there is among respondents.
6. Analyze the likert data by comparing the mean scores across different demographic or experimental groups. This can help identify any significant differences in attitudes or opinions based on factors such as age, gender, or treatment condition.
7. Generate visual representations of the likert data, such as bar graphs or pie charts, to make it easier to interpret and communicate the findings.
8. Draw conclusions and make inferences based on the analyzed likert data. These conclusions can contribute to understanding participants' attitudes, preferences, or experiences related to the survey or research topic.

Who needs analyzing likert data?

1. Researchers: Analyzing likert data is essential for researchers to understand participants' attitudes, opinions, behaviors, or perceptions. By analyzing this data, researchers can gain insights into various research questions and make informed decisions or conclusions.
2. Organizations: Companies, government agencies, or organizations often use likert scales in surveys or evaluations to measure customer satisfaction, employee engagement, or program effectiveness. Analyzing likert data helps organizations understand the strengths and weaknesses of their products, services, or initiatives.
3. Academic Institutions: Likert data analysis is commonly employed in educational research and assessment. Educational institutions use likert scales to measure student satisfaction, program effectiveness, or teaching quality. Analyzing likert data helps these institutions gauge student opinions, identify areas of improvement, and enhance the learning experience.

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