Which of the following attributes are true about naming conventions for embedded data?

The choice regarding naming conventions for embedded data emphasizes the importance of consistency, especially ensuring that the naming aligns with the naming used in the contact list. This consistency is crucial because it allows for seamless integration and retrieval of the data when working with embedded data fields in Qualtrics. When names are mismatched or inconsistently applied, it can lead to errors in data collection, reporting, and analysis, making it difficult to accurately link data from responses with the corresponding contact lists.

By adhering to the practice of matching naming conventions with the contact list, users can effectively streamline their survey processes, facilitate clearer data interpretation, and enhance the overall accuracy of their data management within Qualtrics. Such alignment not only improves usability but also helps in maintaining the integrity of datasets for survey analysis and reporting.

In contrast, other options highlight misconceptions about case sensitivity and the necessity of exact spelling, which do not apply when aligning embedded data with contact list names.