How to Perform Causal Analysis?
Depending on the type of causal analysis, the data, and the research topic, there may be differences in the processes involved in doing the analysis. However, a general framework that you can follow is:
- Clearly define the issue or topic you wish to study. What is the primary query or objective you want to accomplish? Which factors are you looking to investigate? How can they be quantified or made operational?
- Examine current theories and literature on the subject. Which earlier research and conclusions apply to your issue or phenomenon? Which shortcomings or restrictions do you wish to address? Which models or theoretical frameworks may you use to direct your analysis?
- Create your theories on the causes. Which potential causes and consequences would you like to investigate or test? What kind of relationship do you think they will have? What presumptions or prerequisites must you take into account?
- Collect and analyze the data that can support or refute your causal hypotheses. What are the methods and tools that you can use to gather and process the data? What are the ethical and practical issues that you need to consider? How do you ensure the validity and reliability of your data and analysis?
- Analyze your data, then present the findings. Which key inferences and discoveries can you make based on your data? In what way do they address your aim or research question? In what ways do they align or diverge from the extant literature and theories? What ramifications do your findings have, and what suggestions can you make?
How to perform Causal Analysis?
Causal analysis is a powerful technique that can help you understand why something happens and how to prevent or improve it, in other words, it helps us understand the relationships between different events or variables. Causal analysis can offer insightful information when doing research, fixing issues, or making judgments.
In this article, we’ll break down the concept of causal analysis, step by step, catering to beginners who are new to this intriguing field.
Table of Content
- What is Causal Analysis?
- How to Perform Causal Analysis?
- Steps to Perform Casual Analysis
- What are the Benefits of Causal Analysis?
- Example Case of Causal Analysis
- Example 1: Causal Analysis with a Synthetic Dataset
- Example 2: Propensity Score Matching
- Example3: using CasualPY(Public)
- Tips for Performing Causal Analysis
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