Difference Between Quantitative and Qualitative analysis

Table of Contents

Many people can’t figure out the difference between many terms in the business world, and the difference between qualitative and quantitative analysis falls into this category. Professionals who want to pursue a career in business analytics should know the difference between these two types of data analysis and when they should be applied. These two analyses are fundamental approaches that help interpret and collect data in research work.

From a general perspective, qualitative analysis concerns subjective opinions and characteristics, so this analysis is not much tangible and can’t be expressed in numeric form. In contrast, quantitative analysis is all about actual numbers and hard data.

What is quantitative analysis?

This data analysis method focuses on numerical analysis where collection classification and computation of data take place for specific findings with the help of statistical sets of the method. Analysis of days takes place in large samples and randomly. The nature of this analysis is more objective. This method doesn’t consider scarce and random events while deriving research results, but all these events are considered in qualitative analysis. Click here to learn data science course fees

What is qualitative analysis?

This type of analysis is used for data that can’t be quantified and helps generate insights into the attributes and properties of participants. The nature of this analysis is more subjected, exploratory, descriptive, non-statistical, and multi-faceted. With this type of analysis, you get a clear understanding of why a certain situation occurs. Click here to learn best data science courses in hyderabad

Points of differences between qualitative and quantitative analysis

Definition and nature

Qualitative data analysis is based on the classification of participants as per attributes and properties. However, quantitative analysis, on the other hand, is based on the classification of objects or data according to computable values. The nature of the qualitative analysis is subjective, whereas quantitative analysis is objective by nature. Click here to learn data science course in pune

Collection of data

Data collection for qualitative analysis is small and unrepresentative, and unstructured. The data collected in this analysis involves religion, color, nationality, race, and many other factors. On the other hand, quantitative analysis requires a large collection of data in representative samples, which will generalize the whole population.

Type of data

Gender, color, and race are typical data involved in qualitative analysis, but data included in the quantitative analysis involves density, weight, length, size, and other measurable quantities.

Research methodology

The research methodology for qualitative analysis is exploratory, as the analysis is done to understand why a particular situation takes place. However, quantitative analysis methodology is conclusive where the analysis seeks how frequently an individual situation will take place or why a certain phenomenon happens. Click here to learn data science course in chennai with placement

Research findings

Research findings involved in the case of qualitative analysis do not apply to the general population as these findings are related to objects that are studied. But results for quantitative analysis are relevant to the general population.

Data collection method

Researchers collect data by asking open questions and conducting open-ended observations and interviews. On the other hand, researchers collect data in quantitative analysis by conducting surveys, observations, taking experiments, and measurements.

Purpose of analysis

The purpose of seeking qualitative analysis is to get deep insights or understanding into social communication or interaction however, the purpose of quantitative analysis is to give future forecasts/predictions and for testing hypotheses.