Linear regression is a powerful statistical method used to model the relationship between a dependent variable and one or more independent variables. To derive accurate and meaningful insights from the analysis, it’s important to understand and validate the assumptions that underlie this technique. In this article, we’ll delve into the key assumptions in linear regression […]
Checking assumptions in Linear Regression Read More »
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
M&E Interview QnA (Interview Preparation) Read More »
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
M&E Interview Preparation Questions and Answers (Part-3) Read More »
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
M&E Interview Questions and Answers (Interview Preparation) Part -2 Read More »
Hello Data Analysts! Today, let’s delve into the fascinating world of indexing and explore why it holds tremendous significance in our data-driven era. Join me on this enlightening journey as we unravel what indexes are, why they are essential, and the meticulous process of creating them. Creating Index is the art of condensing complex data
Unlocking the Power of creating Index in Data Analysis Read More »
As professionals involved in Monitoring and Evaluation (M&E), we understand the significance of effectively communicating the findings and outcomes of our work. One powerful way to convey complex data and insights is through charts and visualizations. These visual representations can help stakeholders grasp key information quickly and make informed decisions. So, let’s dive into some
Monitoring and Evaluation (M&E) experts play a pivotal role in assessing the progress, impact, and effectiveness of programs, projects, or interventions. They utilize a range of statistical tools to collect, analyze, and interpret data, helping organizations make data-driven decisions. Here are some commonly used statistical tools in the field of M&E: 🔍 Descriptive Statistics: These
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