Research designs

Research designs
The ultimate goal of every scientist is to achieve the most accurate results of their research, in order for it to be successful. Choosing the most appropriate research design for that matter plays an essential role in the outcome of the research. Therefore, it is important to compare and assess the strength and the weaknesses of each design, to be able to recognize the one time that fits your research goals and process the best.

There are various research designs, such as naturalistic observations, case studies, surveys, or experimental and quasi-experimental designs, which differ in the kind of information one wants to get, feasibility, reliability and the cost of design. And so it is possible to compare and contrast those types of research designs according to these key points.

One of the first points that need to be considered when choosing the research design is the kind of information a researcher expects to get. For example, naturalistic observation helps expanding knowledge about a specific phenomenon or species by simply observing the way that phenomenon occurs or the species' lifestyle.

Another type of research design - surveys — is used when working with easily accessible information. However, surveys are mostly used for complimenting data, previously collected from secondary sources, and gather the kind of information, which is not available from other sources, and not accessible by simple observation. Case studies, as a matter of fact, are often used side by side with surveys, because surveys can only show the quantitative data, and case studies, narrowing down the question, can determine why it is so.

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