How to use Remark Labeling

How to use Remark Labeling

Introduction
Labels are available to sort out free comments from the panellists. The objective is to make it easier to do counts and further analyse the data.
The user, by applying labels to the comments, convert the data from textual type into binary type.
The data can then be analyzed the same way in EyeOpenR a CATA question would be analyzed.

Remark Labelling is only available from V5.0.8.0 of EQ.
If you have anterior projects with data already collected it won’t work for now.

Setup when creating questionnaire

The  questionnaire must contain at least one question of the type GeneralQuestion-> G-Text or H- Remark/Comment.



Setup after panelists have answered the questionnaire

When answers have been collected, go to the export tab, Project Data -> Remark labeling


Create as many labels as you want, there is no limitation.



Select the question you want to add the labels to


Select the label you want to allocate, it should be blue


Then allocate them to the answers from the panelists. Several labels can be added to one answer.


It is up to the user to evaluate the label that best fit the text answer.


Click confirm
Confirm button will disapear in new versions

Removing or modifying a label currently
(to be improved)

Current procedure to erase a label
If one label is to be erased just make sure itis not used for any sentence by inputing the label name in the filter, exitfrom the current screen and come back on this screen

Current procedure to modify a label
After you allocated your Label_to_be_modifiedto the different remarks. Create the new_correct_label,apply filter on Label_to_be_modified, add New_correct_label to correspondingremarks and then line by line delete Label_to_be_modified. Exit of this screenand come back.

Analysis through EyeOpenR


Once theremarks sorting with the labels is done, the data can be extracted in EyeOpenR.


Once EyeOpenR is opened follow the path below:

Next using the red arrow, until Visualization and selection, choose : Cochran and McNemartest




In Counts (pairwise) : The table and graph display the number of times a label appears per product





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