Data collection methods - Quantitative data vs Qualitative data

Collecting Quantitative vs. Qualitative Data in the Field

There is no question that data and data collection tools are crucial to studying the results of your field operations. Depending on your data collection methods, you will be able to observe patterns and trends within your business industry, allowing you to make informed decisions.

It is vital for everyone working in the field operations sector to understand that it’s more important to collect the right data than all data possible. To do this, you’ve got to properly prepare your team for the process with a field data collection software, and define the objectives of the operation. Start by asking yourself these questions.

Throughout the process of creating field data collection forms for your impending operation, you’ve got to choose between questions that will generate qualitative or quantitative data.

 Understanding Quantitative Data

Quantitative data can be quantified or answered in one word or number, such as when, how much, yes or no. This video tutorial shows you how to create digital forms using fields who will give you quantitative data.

Overall, quantitative data is better for creating reports because the information is standardized. It’s incredibly useful for survey data collection and creating visuals for immediate trend interpretation.

Quantitative data is ideal for field data collection, as it’s easy to chart, track, and interpret. On the other hand, quantitative data doesn’t give away too many details regarding the observed state, other than what we can see and count. For example, quantitative data will tell you that the door is in bad condition, but it will not inform you how it got that way.

 That’s where qualitative data comes in.

 Utilizing Qualitative Data

Unlike quantitative data, qualitative data is a result of open questions. Qualitative data include opinions and interpretations from people or experts who made the observations. 

They typically write their findings in their own words, which leads to loss of data accuracy and reliability. Qualitative data has so much to offer us but needs execution similar to that of quantitative data to boost accuracy. Using a digital forms app to create questions and control responses is an excellent start to authenticating qualitative data results.

Conclusion: What is better in your data collection methods?

When it comes to quantitative versus qualitative data in a field data collection operation, put quantitative first. Only employ qualitative when it’s essential for a better understanding of the observed situation.

Coral Collect is happy to present you with free access the only data collection solution you’ll ever need. With Coral Collect, you and your team can collect, save, and share data in the field.

This collaborative solution allows for every level of your organization (technicians, analysts, managers, etc.) to have a place in the management of field data. In a world of inaccuracy, let Coral Collect act as your source of data reliability. Sign up today!

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