Data analysis is performed in
stages, moving from simple to more complex. The first two steps are preparatory (data
cleaning and transformation) and to be completed in the first stage of analysis (cleaning
and transforming are ongoing processes during analysis as well). Once the data is
prepared, oneway analysis is used to begin to provide description at the individual or
more aggregate (e.g. district levels) and to show associations between one INDEPENDENT
variable and a DEPENDENT variable (outcome)of interest. For example, looking at the mean
weight for age zscores (malnutrition outcome) by illness categories, education
categories, income groups, sex, ages, etc. Oneway analysis is used any time only one
independent variable is used either for description of the population or for analysis with
any outcome variable. The primary uses of oneway analysis are listed below:
Contents:
Page 1

Descriptive Analysis,
which provides overall averages and other descriptive statistics by groups, such as
geographical area. 
Page 2

Targeting using
ranking by outcome indicators (for example, district by underweight prevalence). 
Page 3

Exploring Associations
between an outcome variable and one independent variable (e.g. nutrition status by
education level). 