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z-test: Definition, Assumptions, Advantages, Disadvantages, and Real-Life Example

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Definition: The z-test is a statistical hypothesis test used to assess whether the means of two populations are significantly different when the population standard deviation is known. It’s particularly suitable for large sample sizes. The test statistic follows a standard normal distribution (z-distribution), and it’s calculated by comparing the difference between sample means to the […]

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t-test – Definition, Assumptions, Advantages, Disadvantages, Application, and Real-life Example

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Definition The t-test is a statistical method used to compare the means of two groups and determine if the observed differences between them are statistically significant. It assesses whether the means of the two groups are different enough to conclude that the observed difference is not due to random chance. The t-test is calculated as:

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F-test: Definition, Assumptions, Advantages, Disadvantages, Application, and Real-Life Example

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Definition The F-test is a statistical test used to compare the variances of two or more samples. It is based on the F-distribution, which arises when the ratio of two independent chi-squared distributions (each divided by its degrees of freedom) follows an F-distribution. The F-test is often used to determine if the variability within groups

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Monitoring Information System

Leave a Comment / Monitoring Evaluation & Learning (MEL) /

Definition: A Monitoring Information System (MIS) is a structured framework that enables organizations to collect, process, store, and analyze data related to their operations, performance, and other relevant factors. It provides a comprehensive view of an organization’s activities, helping decision-makers monitor key metrics and trends in real-time or near-real-time, facilitating informed decision-making and strategic planning.

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Statistical Approaches for Evaluating Intervention Programs: Methods and Applications

Leave a Comment / Monitoring Evaluation & Learning (MEL) /

Introduction: Intervention programs are designed to bring about positive changes in specific target populations, whether they aim to improve health outcomes, enhance educational attainment, or address socioeconomic disparities. Evaluating the effectiveness of these intervention programs is crucial to determine their impact and guide future policy decisions. In this article, we delve into various statistical approaches

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Evaluation at Different Points in a Study: Baseline, Mid-Point, Concurrent, and End-Line Evaluation

Leave a Comment / Monitoring Evaluation & Learning (MEL) /

Evaluation plays a crucial role in assessing the effectiveness and progress of interventions, programs, or studies. Various evaluation points, such as baseline, mid-point, concurrent, and end-line evaluations, provide valuable insights into changes over time. Let’s delve into each of these evaluation points, along with real-life examples and mathematical definitions. Baseline Evaluation: Baseline evaluation is conducted

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Understanding the Difference Between Difference-in-Differences and Propensity Score Matching: A Comparative Overview

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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

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M&E Interview QnA (Interview Preparation)

Leave a Comment / Monitoring Evaluation & Learning (MEL) /

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

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M&E Interview Preparation Questions and Answers (Part-3)

Leave a Comment / Monitoring Evaluation & Learning (MEL) /

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

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M&E Interview Questions and Answers (Interview Preparation) Part -2

Leave a Comment / Monitoring Evaluation & Learning (MEL) /

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

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