Chapter 1 -
USING NUTRITIONAL DATA
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Page 1: What the Data Can Say
Page 2: Types of Variables
Page 3: Using the Variables
Page 4: Transformations (e.g. anthropometric z-scores, age, etc.)
Page 5: File Structure
Page 6: Test Yourself
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Chapter 2 - DATA CLEANING
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Page 1: Detection of
Errors
Correction of
Errors
Page 2: Test Yourself |
Chapter 3 - ONE-WAY ANALYSIS
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Page 1: Descriptive Analysis
Page 2: Targeting
a) Ranking
Analysis
b)
Targeting Priorities
Page 3: Exploring Associations
Page 4: Test Yourself |
Chapter 4 - TWO-WAY ANALYSIS
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Page 1: General Approach for Program Content
Page 2: Interactions
Page 3: Regression Analysis
a)
Developing an Equation
b)
Interactions in Regression
c)
Investigating Causal Relationships
Page 4: Confounding
Page 5: Test Yourself |
Chapter 5 - MULTI-WAY ANALYSIS
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Page 1: When and Why
Page 2: Causal Models to Address Confounding
Page 3: Causal Models to Study Interactions
Page 4: Test Yourself |
Chapter 6 - SUBMODULES
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Page 1: Z-scores Hand Calculations
Page 2: Z-scores EPI-CALC
Page 3: Aggregation of Data
Page 4: Creating a Code Book
Page 5: Analysis of Child Feeding Patterns |
Chapter 7 - ASSESS
YOUR UNDERSTANDING
Chapter 8 - KENYA REAL WORLD ANALYSIS
Building and presenting a situation
analysis
Child Feeding Practices
If you have any questions or comments, please email (please cite PANDA in subject line)
or contact us. |