



What are potential biases to be aware of during data analysis?
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what is research design
- How do you discuss the implications of your findings based on your research design? How do you plan for potential challenges and limitations in your research design?
- What are some examples of research designs that address complex, real-world problems in creative ways? How does the level of control in a research design influence the types of conclusions that can be drawn?
- How does a strong research design enhance the likelihood of securing funding? How can understanding different research designs help you critically evaluate published research?
- What are the limitations of correlational studies? What is cross-sectional research design?
- What are the components of a typical logic model (e.g., inputs, activities, outputs, outcomes, impact)?
- What are the strengths and weaknesses of this design? What is an embedded mixed methods design?
- What is the purpose of a research design?
- How does the research design contribute to the overall trustworthiness of research findings? What are the considerations for choosing between quantitative and qualitative research designs?
- Why is internal validity important for causal inferences?
- What are the different types of variables (e.g., independent, dependent, mediating, moderating)?
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