Data analysis in causal surveys involves several steps:
Descriptive Statistics: Begin with basic statistics to summarize the data. This includes measures like mean, median, and standard deviation. Inferential Statistics: Use statistical tests like regression analysis to examine relationships between variables. Tools such as SPSS or R can be very helpful. Validation: Validate your results through methods such as cross-validation or using a different dataset to confirm findings.