# Difference between Quantitative and Qualitative Data – Quantitative vs Qualitative Data

## What are Quantitative and Qualitative Data?

Qualitative data deals with descriptions. It can be observed , but is not able to be calculated. In contrast Qualitative data is one that is focused on mathematical calculations and numbers and can be calculated as well as calculated.

For the collection and analysis of data, either of the two approaches described above may be used. Both have their advantages and disadvantages, i.e. while qualitative data lacks reliability, quantitative data lacks a description. Both are utilized in conjunction to ensure that the data collected is completely free of errors. Additionally, both are taken from the same data unit but only the variables of concern are different, i.e. numerical for quantitative data, and categorical for qualitative data.

## Methods of Quantitative Data Collection

• Data can be easily measured and converted in numerical form. This is then converted into useful data mathematically.
• The results are often as a form of statistical data that are relevant and, thus, beneficial.
• Contrary to qualitative methods quantitative methods usually employ larger sample sizes due to its measurement capabilities make it possible and much easier.

## Methods of Qualitative Data Collection

• The nature of exploration These methods are mostly focused on gaining insight and understanding of the root causes and motives, which is why they are inclined to go deeper.
• Because they are not quantifiable the measurability issue becomes a problem.
• This inability to measure results to the choice of strategies or instruments that are mostly unstructured, or in certain instances, might be structured,, but to only a tiny, but limited degree.
• The majority of qualitative methods are laborious and costly to carry out, so researchers attempt to reduce the expenses incurred by reducing the size of the sample or number of participants.