Results Import


 

The results data import is meant for importing the entire data of a project, in particular for evaluation purposes. If you wish to prefill individual variables with data from another EFS project, the Variable data import in the Project properties menu might be the better option.

 

 

Functional Scope


The functional scope of the results data import in brief:

  • This tool is available in personalized projects and employee surveys. The results data import is not implemented in anonymous projects, panel surveys and master data surveys.

  • You can import all project variables (v_x), URL parameters (p_x), user-defined variables (c_x), participant variables (u_x), various system data (tester, code, date_of_first_access, date_of_last_access) and the disposition code.

  • Furthermore in project type “employee survey”, the variables u_metaname (required for organizational mapping) and u_offline (used to mark data from paper-pencil questionnaires) can be imported.

  • An import template is available in CSV format, which you merely have to download and fill in. Alternatively, you can import a result data file used in another EFS project: In this case, matching of the variables of source and target project is done via the external variable names.#

  • Read rights for ct42partadm are required to use the results data import.

 

Performing a Data Import


Data import can be found in the Projects → {Selected projects} → Participant administration → Results data import menu.

  • First, download the ready formatted import template.

  • Open the template in an appropriate program (e.g. Excel) and enter the data. Then save the file in Excel or CSV.

  • Afterwards, import the data into EFS. During the import, you can use the preview function to double-check and, if necessary, change the data.

 

Formatting of the Import File in Detail


When filling in the import template or creating your own import file you have to consider various formatting rules.

  • The import file can be created in Excel or CSV.

  • An individual column is created for each variable to be imported. You can import the following variables:

    • all project variables (v_x)

    • all URL parameters (p_x) and user-defined variables (c_x)

    • all participant variables (u_x)

    • only in project type “Employee survey”: u_metaname

    • various system data (tester, code, date_of_first_access, date of last access)

    • only in project type “employee survey”: u_offline.

    • disposition code

  • The first line usually contains the column label, i.e. in this case the names of the respective variables. This has the advantage that the software will automatically identify and assign the columns to the appropriate database fields. If your import data are values exported from another EFS project, you may alternatively use the export file itself without re-formatting the column names: An option titled “Use external variable names for matching” is available for the import.

  • As is the case with the normal participant import, the e-mail addresses must be unambiguous. Otherwise, please remember to activate the relevant option “Allow duplicate e-mail addresses”.

  • If the participants do not have e-mail addresses, you have to create dummy accounts. You can use e-mail addresses on the @3uu.eu domain: these addresses are owned by TIVIAN, mails sent to them are deleted automatically.

  • Blank fields of the import file will be filled with default values:

    • participant variables: “text field” = blank, “selectbox” = 0

    • project variables: Default missing values of EFS depending on data type

    • default disposition code: completed = “31”

 

Further Information


  • The participant accounts for which you want to import data will be created automatically during the import process. They should not be created beforehand, otherwise the import will be impossible as the data records already exist. The results data import is not meant for overwriting existing data.

  • The variables in which the imported data are to be stored have to be created in advance. It is not possible to create new variables via this import.

  • New characteristics can be created via the import if this is permitted for the respective variable.

  • It is not possible to upload externally collected loop data into EFS via results data import.

  • A Microsoft Excel worksheet can have a maximum of 256 columns, i.e. it allows the import of a maximum of 256 variables. If your import exceeds this value, you should use another program instead of Excel for editing your import file, then save this file in CSV format and import it.

  • In some cases, results data import fails due to sheer file size of the Excel file. In this case, please save the file in CSV format and import it.

  • Results data import is limited to 2,400 variables.

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