Appreciative Inquiry: The Approach and Application
It is essential to invest in assessment to provide robust evidence that can inform policy and programming decisions.
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Weighting in Survey: The Idea and Application
Data sets are weighted to increase their representation of the population they are intended to measure.
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P Value: Meaning, Interpretation, and Significance
The meaning of the probability value (P-value) is a critical topic in statistics.
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Effect size: The Concept and Application
Effect size is an important statistical concept used extensively in assessing the size of an intervention.
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Database, Data warehouse, and Data Lake
Today, we are surrounded by data which has become a driving force for decision-making.
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General Linear Models: Definition and Application
General linear models (GLM) go back to the late 18th century, but they were largely brought to life by Carl Friedrich Gauss.
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Monitoring and Evaluation: Qualification, Skill required, and Course Option
Monitoring and evaluation are crucial and essential components for tracking a project's progress.
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Quantile Regression
Quantile regression is a popular regression model used extensively to assess treatment heterogeneity.
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Machine Learning: Classification and Application
Today, not just humans but also computers, mobile phones, and other technologies generate abundant data.
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