When you need to collect and analyze the data properly, maximizing the profit of your time and efforts, some hacks might help you with that.
Research design is a procedure, that is organized methodically and steadily by the researcher, scientist, or anyone who processes data to make a scientific study. The biggest challenge of research design is to use existing data and find out the missing pieces of it to carry out a study.
Before starting a research, a researcher has to choose the type of it to use effectively time and resources. The methodology has to be well thought and the methods of the research have to appropriate the type of it, thus you will be able to achieve the result you're looking for.
The Importance of Research Design
Research design helps to narrow the scope of the information to achieve the best results. It's a framework for further analysis of the whole procedure. How to prepare for it? You'll need this checklist for going further:
- Careful statement of the purpose
- The implementation of the techniques
- One chosen methodology
- You'll need to choose a type of your research
- Objections to your research
- Settings
- Measurements of the analysis
- Timeline or roadmap of the procedure
Design research is what helps you to prepare for your work and sets your study up for success. Without this kind of framework you, as a researcher, might get lost in the data and spend valuable time and energy for nothing.
Types of Research Design
Descriptive Research Design
In this type of research design, the researcher is solely concentrated on describing the case under the study. By this you collect, organize, and analyze the data according to the method of the research, answering all the questions on the relevance. If the design purpose or statement is vague, a researcher can use an exploratory type of research.
Experimental Research Design
This one establishes the relationship between the subject of the research whether it's the situation or not and its effect. It's a custom one where the researcher can understand the cause an independent variable has on the dependent one.
This type is rarely used inaccurate science and more often in social ones when there is a need to analyze some groups of people and their behavior.
Correlational Research Design
Some connected variables are compared to analyze their relationship in this type of research design. It's a non-experimental one, where the relations between the two groups have to be estimated. +1 correlation coefficient means that the relations are positive and -1 – negative.
Diagnostic Research Design
In the diagnostic research design, a researcher evaluates the basic cause of the case of the subject. This one might help you to learn the causes of the error situations. It usually consists of three parts: creation, diagnosis, and solution for the issue.
Explanatory Research Design
This type of research uses the ideas of the researcher for further theory creation. The research explains the questions on what, why, and how the research is going to explain the relations between the variables.
Summary
When you start your research and not very familiar with the methodology and the conducting of the research, here is our list of interactive and clear tutorials for you to look through:
After you learn the basics of the research design, you can solely research different spheres starting from social science to exact sciences. Don't stop if you have an obstacle – learn and practice more to gain perfection!