Identify and discuss basic designs, corresponding questions, analytical methods related to research questions,
and limits on implications of findings (e.g., causal vs. relational)
Deliverables
Basic Designs, Corresponding Questions, Analytical Methods, and Limits on Implications of Findings
Basic Designs
Research designs are the plans or blueprints that researchers use to collect and analyze data. The design of a study is determined by the research question that the investigator is trying to answer. Some common research designs include:
Corresponding Questions
The type of research question that a researcher is trying to answer will determine the best research design to use. For example, if a researcher is interested in studying the causal relationship between smoking and lung cancer, they would need to use an experimental design. However, if a researcher is interested in studying the risk factors for heart disease, they could use an observational design.
Analytical Methods
The analytical methods that a researcher uses will depend on the type of research design they used and the type of data they collected. For example, in an experimental design, the researcher might use a statistical test to compare the outcomes of the treatment group and the control group. In an observational design, the researcher might use a statistical test to identify relationships between variables.
Limits on Implications of Findings
It is important to note that no research design is perfect. Each design has its own strengths and weaknesses. Additionally, the implications of research findings are always limited by the quality of the data and the methods used to analyze the data.
One important limitation is that observational studies cannot prove causation. Observational studies can only identify relationships between variables. It is possible that a third variable is causing the relationship between the two variables that the researcher is interested in.
Another limitation is that research findings are always specific to the population that was studied. It is not possible to generalize the findings of one study to a different population.
Example
Here is an example of a research question, corresponding design, analytical methods, and limits on implications of findings:
Research question: What is the effect of a new drug on the survival of patients with advanced lung cancer?
Corresponding design: Experimental design
Analytical methods: Statistical test to compare the survival of the treatment group (patients who receive the new drug) and the control group (patients who do not receive the new drug)
Limits on implications of findings: The study results can only be generalized to patients with advanced lung cancer who are similar to the participants in the study. Additionally, the study cannot prove that the new drug caused the improvement in survival. It is possible that another factor, such as other medications that the patients were taking, caused the improvement in survival.
Conclusion
Research designs are essential for conducting high-quality research. By understanding the different types of research designs and their strengths and weaknesses, researchers can choose the best design for their study and collect data that will answer their research question.