inferential statistics

In the realm of causal inference and program evaluation, two widely employed methodologies stand out: Difference-in-Differences (DID) and Propensity Score Matching (PSM). These techniques aim to uncover causal relationships from observational data, but they operate on different principles and assumptions. Let’s delve into the key aspects that differentiate DID and PSM, and explore when each

Determination of Sample Size Factors to consider when determining the sample size for a randomized control trial: Several factors play a crucial role in determining the appropriate sample size for a randomized control trial (RCT): 1. Effect size: The magnitude of the effect or difference between treatment groups that the study aims to detect. A

Determination of Sample Size a) What factors should be considered when determining the sample size for a randomized control trial? b) How does the type of research question influence the sample size determination? c) Discuss the differences in sample size calculation for cross-sectional and longitudinal studies. d) What is the importance of power analysis in

Are you preparing for an interview in Monitoring and Evaluation (M&E)? We are excited to share some commonly asked M&E interview questions along with their answers to help you prepare and excel in your interview. Here are a few questions to get you started: Q: What is the difference between monitoring and evaluation? A: Monitoring and