Survey Methods: Types and Uses in Social Sector
Online surveys had become a crucial research tool during the COVID and post-COVID eras when conventional survey methodologies posed substantial difficulties.
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Structured and Unstructured Data: The Concept and Analytics
Data of distinct types and natures surround us, and this variety in structure gives data its richness.
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Data Mining: The Concept, Steps, and Application
Data mining is the finding, sorting, and analyzing large datasets to find valuable information.
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Generalized Estimating Equations: Concept and Application
The GEE can be used to analyze longitudinal data, repeat measurements, or clustered observations.
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Types of Analytics: Descriptive, Diagnostic, Prescriptive, and Predictive Analytics
In the data science world, you hear the terms descriptive analytics, predictive analytics, prescriptive analytics, or diagnostic analytics.
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Predictive Analytics: The Concept, Process, and Application
By analyzing historical and current data, predictive analytics anticipates events in the future.
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Multilevel Models: Concept and Application
Models consisting of multiple levels are also referred to as linear mixed, hierarchical, or mixed-effect models.
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Incorporating AI and Machine Learning into the Social Sector
In computer science, artificial intelligence (AI) is the development of intelligent machines that mimic the capabilities of humans.
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Difference in Difference: A Brief Overview
Difference-in-Difference is one of the most popular quasi-experimental techniques, backed by a large body of historical evidence.
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