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Issue 24 has been merged with Issue 31

Istat suggests to move the following sub-process, including it into former sub-process 5.5 (see above).

6.1. Prepare draft outputs - This sub-process is where the data collected are transformed into statistical outputs. It includes the production of additional measurements such as indices, trends or seasonally adjusted series, as well as the recording of quality characteristics.

 

New text

5.5. Derive new variables, statistical units and indicators - This sub-process derives (values for) variables and statistical units that are not explicitly provided in the collection, but are needed to deliver the required outputs. It derives new variables by applying arithmetic formulae to one or more of the variables that are already present in the dataset. This may need to be iterative, as some derived variables may themselves be based on other derived variables. It is therefore important to ensure that variables are derived in the correct order. New statistical units may be derived by aggregating or splitting data for collection units, or by various other estimation methods. Examples include deriving households where the collection units are persons, or enterprises where the collection units are legal units.

Data collected are also transformed into other statistical outputs, through the production of additional measurements such as indices, trends or seasonally adjusted series, as well as the recording of quality characteristics.

 

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  • 5* (We should do this)
  • 4* (Good idea, but need to discuss)
  • 3* (I am not sure, we need to discuss)
  • 2* (Should not make the change, but need to discuss)
  • 1* (Should not make this change)

 

 

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2 Comments

  1. ABS comment

    We are not sure, but agree there is a grey area between Deriving variables and deriving/generating new outputs.  In our BA, we've tried to limit the Derive activity to the more simple rules involving variables on the dataset, and the 'Generate outputs' activity to transforming statistical inputs into outputs using more complex modelling techniques.

     

  2. I am sorry, I was wrong: Istat suggests to modify the sub-process 5.7 adding it sub-process 6.1 and rename it consequently (see the changes).

    5.7. Calculate aggregates and other outputs - This sub process creates aggregate data and population totals from micro-data. It includes summing data for records sharing certain characteristics, determining measures of average and dispersion, and applying weights from sub-process 5.6 to sample survey data to derive population totals.

    Data collected are also transformed into other statistical outputs, through the production of additional measurements such as indices, trends or seasonally adjusted series, as well as the recording of quality characteristics.