Microsoft Survey: Mastering the Likert Scale

The Microsoft Survey Likert Scale is a widely-used tool for collecting and analyzing data in a structured manner. It's named after Rensis Likert, an American psychologist who developed the scale in the 1930s. This scale is particularly useful in market research, customer satisfaction surveys, and employee engagement assessments. Let's delve into the details of this powerful tool.

Before we explore the intricacies of the Microsoft Survey Likert Scale, it's crucial to understand what a Likert scale is. In essence, a Likert scale is a type of rating scale commonly used in survey research. It's an ordinal scale, meaning that the responses are ordered, but the difference between each point on the scale is not known.

Understanding the Microsoft Survey Likert Scale

The Microsoft Survey Likert Scale is a five-point scale, with each point representing a different level of agreement or satisfaction. The scale typically ranges from 'Strongly Agree' to 'Strongly Disagree', or from 'Very Satisfied' to 'Very Dissatisfied'.

Microsoft's implementation of the Likert scale in its survey tools offers several advantages. It's user-friendly, allowing respondents to quickly and easily select their response. It also provides robust data analysis capabilities, enabling organizations to gain valuable insights from the responses.

The Five-Point Scale

The five-point scale is the most common type of Likert scale. It's simple to understand and use, making it ideal for a wide range of survey purposes. The points on the scale are typically labeled as follows:

• Strongly Agree/Agree
• Neither Agree nor Disagree
• Disagree/Strongly Disagree

However, the labels can be adjusted to fit the specific context of the survey. For instance, in a customer satisfaction survey, the scale might range from 'Very Satisfied' to 'Very Dissatisfied'.

Analyzing Microsoft Survey Likert Scale Data

Once the data has been collected, it's time to analyze it. Microsoft's survey tools provide a range of analysis options. One common method is to calculate the mean score for each question. This gives a general sense of the respondents' opinions.

However, it's important to remember that the Likert scale is an ordinal scale, not an interval or ratio scale. This means that the difference between each point on the scale is not known. Therefore, statistical tests that assume interval or ratio data, such as t-tests or ANOVA, should be used with caution.

Best Practices for Using the Microsoft Survey Likert Scale

To get the most out of the Microsoft Survey Likert Scale, it's important to use it effectively. Here are some best practices:

Be Clear and Concise

When writing survey questions, it's crucial to be clear and concise. Use simple, straightforward language that's easy to understand. Avoid jargon and ambiguity.

For example, instead of asking "Do you think that our customer service is satisfactory?", you could ask "How satisfied are you with our customer service?". The latter question is clearer and allows for a more nuanced response.

Use the Scale Appropriately

The Likert scale is versatile, but it's not suitable for every question. It's best used for questions that ask about opinions, attitudes, or levels of agreement. It's not well-suited to questions that ask for factual information or specific examples.

For instance, you wouldn't use a Likert scale to ask "What is your favorite product?". Instead, you might use a multiple-choice question or an open-ended question.

In conclusion, the Microsoft Survey Likert Scale is a powerful tool for collecting and analyzing data. By understanding how to use it effectively and following best practices, organizations can gain valuable insights from their surveys. So, the next time you're designing a survey, consider using the Microsoft Survey Likert Scale to gather and analyze your data.