Qualify

Qualifying the data allows to identify/delete the awful values. To get access to this assistant, Proceed as follows:

• In the tab Data, click Qualify

You reach the dialog box below which allows you to set the global quality of your set of data through a four-option choice.

• Identify singular or poorly documented observations : Allows, according to the variables selected, to identify the poorly documented observations , the observations with the rare or distinct values of the average, or the scales of which are documented systematically.
• Replace non-responses : To replace the non-responses (empty cells) either by the average of observations, or by the value of the previous observation.
• Identify irrelevant variables : Allows to identify the poorly documented variables  or having too little variance.
• Extract a qualified sample : To create a sub-set of relevant variables  (this sub-set ignores the poorly documented variables ) and a sample taking into account only the observations sufficiently documented.