Exercises and Appendices from Data Analysis: A Workshop for Title II Development Program Managers, November 2000, Nairobi, Kenya

Presentations

Exercises

Exploring a Data Set: SPSS

• Frequency
  
• Cross tabulation
  
• Histograms and graphs

Cleaning Data, Missing Values: SPSS

• Missing value codes
  
• Missing values in calculations

Exploring a Data Set: Epi Info

• Frequency
  
• Cross tabulation
  
• Histograms and graphs

Cleaning Data, Missing Values: Epi Info

• Missing value codes
  
• Missing values in calculations
  

Defining New Variables, Sub-Group Analysis: SPSS

• Selecting sub-groups of records for further analysis
  
• Defining new variables in several different ways
  
• Writing and saving simple programs to define new variables
  
• Interpreting results of sub-group analysis using new variables

File Management: SPSS

• Sorting data
  
• Merging files

Defining New Variables: Epi Info

• Selecting sub-groups of records for further analysis
  
• Defining new variables in several different ways
  
• Writing and saving simple programs to define new variables
  
• Interpreting results of sub-group analysis using new variables

File Management: Epi Info

• Sorting data
  
• Relating, merging and exporting files

Calculating a Weighted Average Percent Yield Gap: SPSS

• Standardizing values
  
• Summing data
  
• Computing weighted average percent yield gap

Calculating a Weighted Average Percent Yield Gap: Epi Info

• Missing values and standardizing values
  
• Summing data
  
• Computing weighted average percent yield gap

Analysis of Nutrition Indicators: SPSS

• Calculating standard nutrition indicators from a data set
  
• Defining new variables for calculation
  
• Interpreting results

Analysis of Nutrition Indicators: Epi Info

• Calculating standard nutrition indicators from a data set
  
• Defining new variables for calculation
  
• Interpreting results

Running Bivariate Tests, Analyzing Results: SPSS

• Null and alternative hypotheses
  
• Choosing appropriate variables and tests
  
• Performing chi-square and t-tests
  
• Interpreting results
  
• Confidence intervals

Running Bivariate Tests, Analyzing Results: Epi Info

• Null and alternative hypotheses
  
• Choosing appropriate variables and tests
  
• Performing chi-square and t-tests
  
• Interpreting results
  
• Confidence interval

Appendices

A: Data Sets
B: Additional Notes and Useful Commands (SPSS)
C: Additional Notes and Useful Commands (Epi Info)
D: Glossary of Statistical Terms
E: Common Formulas Used in Basic Statistics
F: List of Generic Indicators