The PIEL Data App merges survey data files received from participants in a PIEL Survey research project.
Key features are as follows.
The app only merges original PIEL Survey data files. If you import the data files into spreadsheet software and export them into a csv file, the format of the file may change and the PIEL Data app will detect that change and show an error.
The PIEL Data app does not collect any data other than the data imported by the user and no data is transmitted unless the user chooses to share the merged data file. Please see the privacy and confidentiality features.
By downloading the PIEL Data app, users agree to be bound by the PIEL Survey Terms of Service.
If you have any questions concerning the PIEL Data app please contact us.
Simply swipe left the project in the "Projects" tab. This will delet ethe project and all imported data. The exported merged data files will not be deleted.
Long press on the data file in the "Files" tab. This will show a context menu for sharing or deleting the file.
You must first import the PIEL Survey file that was used to run the surveys. This file is used by the app to validate the imported data files.
The PIEL Data app checks all imported survey runs for duplicates. A survey run is considered a duplicate if the install id and the start time for a survey run are identical. If this occurs, the existing record is overwritten.
The install id is a unique identifier created when the app is installed. This provides a double check on uniqueness of the participant. If the Researcher accidentally issues a duplicate participant ID to a second participant, the "install ID" will make this obvious. The "install ID" can be seen on the data tab, just under the participant ID.
The PIEL Data app does not allow editing of data. It is purely a tool to merge multiple data files. Any editing should be done on the exported file by spreadsheet or statistical software.
The PIEL Data app does not allow full viewing of the data. The app shows the following information.
Yes, the app can handle dummy variables for list questions and checkbox questions. Dummy variables are also called categorical or indicator variables. This can be used for regression analysis. The process is as follows.