Quantitative Analysis (QTA)-II
- Description
- Curriculum
- Reviews
This will allow the M&E professional to determine the impact of programs, and how programs are doing against desired goals. S/he should look to develop statistical analysis skills, and the ability to use at least one statistical software such as STATA, Excel and R. It will cover the following:
| Stata | Get started with Stata | ||
| Statistical Distributions |
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| Linear Regression Models |
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| Models for Binary and Categorical Outcomes |
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| Count Models | a.  Poisson Regression
b. Negative Binomial Regression c.  Zero inflated Poisson regression d. Zero-inflated Negative Binomial Regression e. Zero-truncated Poisson f. Zero-truncated Negative Binomial |
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| Censored and Truncated Regression
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a.       Tobit Regression
b.      Truncated Regression c.      Interval Regression |
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| Longitudinal and time series data Analysis | a.   Longitudinal data analysis
b.   Time series data analysis |
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1
Get Started with STATALearning outcomes
1. Stata set up
2. Data Management using STATA
3. Univariate analysis
4. Bivariate analysis
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2
Introduction to regression analysis
Learning outcomes
1. Standard statistical distributions
2. Linear regression analysis
3. OLS estimations
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3
Linear regression modelling
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4
Models for Binary and Categorical Outcomes
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5
Count Models
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6
Censored and Truncated Regression
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7
Longitudinal & Time Series Data Analysis
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8
Survival Analysis
