Qualitative research focuses on the in-depth analysis of a phenomenon, while quantitative research focuses on a larger data set. Both methods are valid, and sometimes you can combine them to provide an even greater degree of objectivity. This article will explain the main differences between quantitative and qualitative research and why quantitative analysis is often preferred for research that aims to create more useful information.
Interpretive:
To understand the difference between quantitative and qualitative data, one must understand how the two types of research are analyzed. Quantitative studies are based on hard data, whereas qualitative data is based on feelings, interpretations, or initial understandings. Qualitative data cannot be measured or analyzed quantitatively but is classified by labels and attributes. The results from qualitative research cannot be used to support hypotheses or develop theorizations.
Difference:
The difference between qualitative and quantitative research is that quantitative methods use non-statistical methodologies, such as interviews, observations, and questionnaires. While qualitative methods are more subjective, they can be more valuable and provide greater insight into the problem set. For example, You can use quantitative research to validate hypotheses and contextualize study results to a larger population. Unlike qualitative methods, quantitative methods require high precision, while qualitative ones allow for greater creativity.
Creative:
One of the most basic differences between qualitative and quantitative research is the method used to collect data. In quantitative analysis, data is collected through questionnaires or limited answers. It can help you confirm or disprove your hypothesis and may even lead to more awareness or action on your part. While quantitative research has its advantages, it is not necessarily the most effective way to understand a phenomenon. Qualitative research gives you the creative freedom to interpret the data differently.
Multimethod:
Multimethod research is the synthesis of several methods to achieve a common goal. Mingers (2001a) proposes a framework to map multimethod research methods. This framework emphasizes the multidimensionality of this approach and the various types of activity within the phases of research. She then categorizes these methods based on their relationship to the three worlds. Both qualitative and quantitative methods require specialized expertise to obtain accurate results.
Reliable:
The main difference between quantitative and qualitative research is how they present data. The former relies on statistics to find patterns, which You can use for predictive modelling and other purposes. Qualitative research relies on interviews and other qualitative techniques, such as fieldwork, which cannot be measured with math. The results of these studies are generally interpreted based on the consistency with the underlying data.
Using data analysis tools:
Using a reliable way to understand quantitative vs qualitative research starts with a detailed definition of each method. We can visualize the results using data analysis tools like Excel’s Prediction Calculator. But, because qualitative research isn’t based on quantitative data, we cannot use this method to determine whether a problem exists. The resulting results should instead be understood as themes rather than numbers.
