OVERVIEW
Data screening is fundamental before any analysis. The basics of data screening are outlined in
your Warner text. Data screening is used for two major purposes: removing bad cases (missing
responses or nonresponse patterns) and testing the assumptions (distribution of quantitative
variables, sample size requirements for analysis, removal of small groups) of the intended
analysis. This is one of three data screening assignments you will have in this class. This
assignment is a general data screening exercise intended to prepare you for the remaining of the
rest of the term.
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