Qualitative and Quantitative research techniques are the types of research design methods that researchers consider to create the outline of their project. Lets discuss them both in detail:
#1 Quantitative Research Design:
This category of information deals with quantifiable items that can be stated in numbers, figures, or other numerical values. Quantitative data, on the other hand, is frequently expressed numerically and can be used to describe size, length, duration, amount, price, and so on. In Quantitative Research Design, a researcher explores the numerous variables in a project while using numbers and statistics to assess the results.
The most common method of data gathering, measurement, and meta-analysis are to employ visuals, figures, and pie charts. Quantitative approaches are usually less expensive and require less time to collect data than qualitative methods.
Types of Quantitative research design
A) Experimental Research Design
This design is used by researchers to establish a link between a cause and an effect; basically to look into what causes things to happen. It can be employed in a lab setting or in a field setting. The experimental design is the procedure’s blueprint that allows researchers to regulate all aspects of the experiment. More groups and measurements are used in experimental designs for a longer length of time. It aids researchers in distinguishing between placebo and therapeutic effects.
This framework can also include a quasi-experiment research design. A researcher observes the influence of an independent variable on a dependent variable when utilizing this design. This type of study design typically aids in the resolution of a certain problem by modifying the independent variables. For a single study, it provides a high degree of evidence.
B) Correlational Research Design:
It’s suitable for both case-control and observational investigations. This is a non-experimental design that can be used by a researcher to determine the link between variables that have a close association. A correlation coefficient determines a relationship between the variables.
A positive association is shown by a correlation coefficient of positive one (+1), whereas a negative relationship is indicated by a correlation coefficient of negative one (-1). The researcher develops a relationship between two connected variables in the study project using this research strategy. Furthermore, it is entirely quasi in character, and the variables are interdependent.
#2 Qualitative Research Design:
This style of research is diametrically opposed to quantitative research. It primarily focuses on why a particular theory exists and what the respondent’s response to it would be. This enables a researcher to reach a conclusion based on accurate data. Case studies are commonly used in qualitative research to better understand societal intricacies.
In contrast to quantitative data, which is concerned with stats and figures, qualitative data is descriptive rather than quantitative in nature. Qualitative data is frequently more difficult to quantify than quantitative data, and it can be gathered through observation, open-ended survey questions, or interviews.