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, one-way 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 z-scores (malnutrition outcome) by illness categories, education categories, income groups, sex, ages, etc. One-way 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 one-way analysis are listed below:


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Descriptive Analysis, which provides overall averages and other descriptive statistics by groups, such as geographical area.
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Targeting using ranking by outcome indicators (for example, district by underweight prevalence).
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Exploring Associations between an outcome variable and one independent variable (e.g. nutrition status by education level).
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