Research Design: Definition and Examples


Research Design: Definition and Examples
The research design is a framework or sketch designed by researchers as a research plan (research plan). Research designs that are submitted for approval to conduct research are commonly called research proposals.
There are opinions that say that the research design can also be called a research design. Between the research plan and the research design, although definitively different, they can be referred to here as part of the research design.
Before discussing further research designs, we need to agree in advance what we mean as research designs. Some researchers say that the research design can be interpreted from the side, namely in the narrow sense and in the broad sense.
In the narrow sense, the research design includes the process of collecting and analyzing data. While in the broadest sense includes the entire research process from planning to reporting. The discussion of the research design in this post will depart from understanding in a broad sense.

Definition of research design
As mentioned above, the research design can be defined as a specific sketch or framework designed by researchers that describes the overall research process plan.
The reader may refer to it as a research plan or research design, provided that what is meant here is the same as the definition above. I deliberately do not dispute the definition between design, plan, and research design because in several lectures on research journal methods, teachers often use them interchangeably (Journal Student, 2017).
Because the definition we use is broad in its definition, the research design that will be presented here will cover the overall research framework. A brief explanation will accompany each framework in order to assist the reader in designing the research design.
Research design framework
The following is a framework or sketch of a commonly used research design:
Research title
Formulation of the problem
Research objectives and benefits
Literature review
Hypothesis
Population and sample / participants / research subjects
Research variables / conceptual boundaries / conceptual framework
Method of collecting data
Data analysis method
Report writing
research design
The above design is not sacred, meaning that every study does not have to be exactly the same as the framework. Intutitively we can see that every point contained in the above design is indeed important, therefore there must be. For example, every research has a problem statement.
Important note goes to the hypothesis. In fact not all researchers, especially social researchers make hypotheses. According to him the hypothesis can limit the freedom of thought of social researchers. This problem is more suitable to be placed on the methodology debate table. Here we take it simply, namely the use of hypotheses is more necessary in quantitative research rather than qualitative.
In addition, the terms population and sample are also more relevant for quantitative research. Qualitative researchers usually use other terms, for example research subjects or participants. The reader does not need to force himself to write the same terms as the sample design above. I encourage readers to be creative using terms that are more relevant than the examples above if found.

Next, we briefly review the research design above from the title to writing the report.
Explanation of research design
Research title
The title is the shortest representation of the entire research substance. Making the title does not have to be at the beginning. I personally prefer making the title at the end when the report is nearing completion. However, I always make "judgments" to help remind the contents of the research being made.
Actually there are some tips for making a good research title, as explained in books, such as: affordable by the ability of researchers, attracting readers, arouse the curiosity of readers, relevant to the content, and so on. The tips in this post are only one, which represents content.
In practice it is not easy to make a title. Tutorial on how to make a good title can be useful if the reader has never tried it himself, reread, cross out, make a new title, cross out again, until it feels 'click'. I think that making a research title is more like painting than writing. That is, writing the title is the art of finding phrases that are felt in accordance with the substance of the research.
Formulation of the problem
Super-brief understanding of the problem formulation is a case that wants to be investigated. In compiling the formulation of the problem, researchers usually question a phenomenon and define the phenomenon as a problem. In the eyes of others, maybe a phenomenon is not a problem at all, but in the eyes of researchers, what they want to study must be a problem.
In the problem formulation section, the researcher explains in detail what the problem is, where the points that are the problem need to be examined. Where do researchers get the problem that they want to study? From anywhere, for example, readings, phenomena around, curhatan other people, and so on. But keep in mind, in writing the formulation of the problem, researchers must be objective.
The formulation of the problem is often called a research question. So, the form of the problem formulation is a question. This question can be raised in the form of points or descriptions. I once wrote about an example problem formulation here as a reference if needed.

Research objectives and benefits
The purpose of this research is to answer the problem formulation. While the benefits of research are the benefits that certain parties can get if the research you are doing is complete. Making research goals and benefits is not as difficult as what one might imagine. Readers only need to look at the formulation of the problem that has been prepared.

Literature review
Literature review is usually called the study of literature. In this framework the reader seeks, reads, and reviews readings that are relevant to the research topic. Quite often there are a lot of relevant literature. In this case, the reader must select which is more relevant, which is less relevant.
Not infrequently also, the literature sought is scarce. If this scarcity is found after an extensive and exhausting search, the reader can write in the proposal that the study of the topics covered is still small, evidenced by the lack of literature.

Hypothesis
Hypotheses are needed if your research uses a quantitative approach. The hypothesis is formulated from the relationship between two or more variables which are temporary conclusions and need to be tested.
Some researchers prefer not to use hypotheses because they can curb the freedom of researchers in the field. This choice is plural taken by qualitative researchers who like to leave the "suitcase" theory before going to the field.

Population and sample
This section can also be called the subject of research or participants. Researchers need to explain who are the participants in this study and how to get it. In social research, a discussion of ethics may be written in this section.
The subject of social research is humans. Therefore, ethical aspects are important to discuss. Except for some studies that use a discourse analysis approach or post analysis which does not involve contact with humans as research subjects.

Research variable
As with the previous section, more familiar research variables are used for quantitative research that requires hypotheses. Qualitative research usually uses the term concept boundary or conceptual framework. The definitions between concepts and variables are indeed different. Variables are more detailed and can be measured rather than concepts. However, qualitative research is usually applied to explore phenomena that are not easily measured.

Method of collecting data
Data collection methods applied must be able to answer the problem formulation. So, the task of researchers here is to select and sort out which methods of data collection are relevant. The relevance of data collection methods is very dependent on the formulation of the problem. Click here to read a full review of data collection methods.

Data analysis method
Data analysis methods can be done manually or with the help of a computer. How to do this also varies depending on what research method is used. Quantitative research often applies different analytical methods than qualitative research. The difference in data analysis can be seen from the different software used if the analysis is done with the help of a computer. For more details, see data analysis techniques here.

Write a report
The final framework of the study design is report writing. Writing research reports adjusted to what research is done. If the thesis research, then the writing of the report must be in accordance with the thesis, not the thesis or other.
The format of the research report is in principle in accordance with the framework that is the design of the study. So, when the reader is making a research design, actually the reader is also compiling a research report framework.