Free Likert Scale Quantitative Research Template
Likert Scale Quantitative Research
Prepared By: [YOUR NAME]
Date: [DATE]
I. Introduction
The purpose of this research is to measure attitudes, opinions, and perceptions using a standardized Likert scale. By quantifying subjective responses, we aim to provide statistical insights into patterns and trends. This survey includes a series of statements to which respondents will indicate their level of agreement or disagreement on a scale of 1 to 5, where 1 represents "Strongly Disagree" and 5 represents "Strongly Agree."
II. Survey Questions
Instructions: Rate your level of agreement with the following statements on a scale from 1 to 5, where 1 = Strongly Disagree, 2 = Disagree, 3 = Neutral, 4 = Agree, and 5 = Strongly Agree.
|
Statement |
1 |
2 |
3 |
4 |
5 |
|---|---|---|---|---|---|
|
The company provides excellent customer service. |
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|
I am satisfied with the product quality. |
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|
I would recommend this company to others. |
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|
The company's website is user-friendly. |
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I feel valued as a customer. |
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|
The pricing of products is reasonable. |
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Customer service responses are timely. |
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|
The company has a good return policy. |
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|
I am likely to make a purchase again. |
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|
The company's branding is appealing. |
III. Demographic Information
To ensure our analysis captures diverse perspectives, please provide some background information about yourself.
|
Demographic Question |
Response Options |
|---|---|
|
Age |
Under 18 18-24 25-34 35-44 45-54 55+ |
|
Gender |
Male Female Other |
|
Occupation |
Student Salaried Employee Self-employed Unemployed Other |
IV. Analysis
The data collected from the survey will be statistically analyzed to identify patterns and trends in respondents' attitudes, opinions, and perceptions. For each statement, the mean, median, and mode will be calculated to provide insights into central tendencies. Standard deviation will be computed to measure the dispersion of responses around the mean.
The results will be presented in tables and charts to facilitate interpretation. Below is an example of how the data for one statement might be analyzed:
|
Statement |
Mean |
Median |
Mode |
Standard Deviation |
|---|---|---|---|---|
|
The company provides excellent customer service. |
4.2 |
4.0 |
4 |
0.8 |
Further analysis will involve correlation analysis to see if there are significant relationships between different variables such as age and satisfaction level. Regression analysis might also be used to predict the likelihood of recommending the company based on other factors.
V. Conclusion
This research aims to provide valuable insights into customer attitudes, opinions, and perceptions. Based on preliminary data analysis, respondents generally hold positive views about the company and its offerings. However, certain areas, such as customer service response times, may need further improvement.
In conclusion, utilizing a Likert scale for quantitative research has proven effective in capturing and interpreting subjective data. Organizations can use these insights to make informed decisions, enhance customer satisfaction, and improve overall business performance.
VI. Recommendations
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Prioritize speeding up response times for customer service representatives to address inquiries or problems to improve overall customer satisfaction.
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Carry out subsequent rounds of surveys designed to systematically monitor and analyze any changes or shifts that may occur in customer attitudes, opinions, and perceptions over an extended period.
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Consider segmenting the data further to understand different demographic responses and tailor strategies accordingly.
VII. References
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Smith, J. A., & Jones, R. B. (2050). Quantitative Methods for Business Research. New York: Wiley.
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Doe, A. B. (2058). Survey Design and Analysis: A Comprehensive Guide. London: Sage Publications.
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Brown, C. D., & Green, E. F. (2059). Understanding Attitudes: Approaches in Social Science. Chicago: University of Chicago Press.
