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Understanding Your Response Dataset (360)


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Attention: Many links on this page link back to pages regarding standard Qualtrics surveys, not just 360 surveys. Detailed below are the differences you will need to be aware of on each page. While some content may look slightly different when creating your 360 survey, feature functionality remains the same.

About “Understanding Your Response Dataset”

For additional analysis outside of Qualtrics, you can download a dataset file for any 360 project. This dataset includes all your survey’s raw response data, including question responses, metadata, and more.

Attention: The file referenced in this page was downloaded in the CSV format and is opened in Excel. It has also been formatted using the Excel Wrap Text feature for easier reading. Other file formats include the same data points, but may display the contents with a slightly different layout.

Rows

Every row in your 360 dataset is an evaluation. You will have a row for each evaluation completed for a subject, meaning you will see subjects and evaluators recur, so long as subjects have more than one evaluator, or evaluators have more than one subject.

Participant Information

StartDate and EndDate

The StartDate column indicates when the participants first clicked the survey link. The EndDate column indicates when the participants submitted their survey. If the entry is an incomplete response, this date will indicate the last time the participant interacted with the survey.

Qtip: If your Start Date and End Date columns in Excel contain ######, try making the columns wider. Excel uses # symbols when a date won’t fit.

Status

The value in the Status column indicates the type of response collected. There are three main possible statuses:

  • 32 / EX: A normal response
  • 36 / Imported: An imported response
  • 40 / Spam: A possible spam response

Responses are flagged as spam if multiple identical responses are received from the same IP address within a 12-hour period. The similarity of the responses is key so that respondents who are filling out the same survey on the same computer in a short period of time (such as in a lab) are less likely to be flagged. The 12-hour period ensures that for shorter surveys with only so many combinations of response, valid responses aren’t as likely to be flagged as spam if they occurred some time apart from each other.

IPAddress

This column includes the subject’s IP address.

Finished and Progress

This Finished column details whether the response was submitted or closed. A “1” or “TRUE” indicates the participant reached an end point in their survey (e.g., hitting the last Next/Submit button, being screened-out with Skip or Branch Logic, etc.). A “0” or “FALSE” indicates the participant left their survey before reaching an end point and the response was instead closed manually or due to session expiration.

The Progress column shows the progress a participant made in the survey before finishing. For those marked as “1” or “TRUE” in the Finished column, the Progress is marked 100, regardless of whether they were screened out. For those whose responses are marked “0” or “FALSE,” you will get an exact percentage of how far they got in the survey based on what question they left off on.

Duration

The number of seconds it took the respondent to complete the survey. This is the entire duration of the response; if a respondent stops in the middle of the survey, closes the browser, and comes back another day, that time is counted.

Qtip: While the export measures duration in seconds, in the Data tab this field is displayed in hours:minutes:seconds.

Recorded Date

This column indicates when a survey was recorded in Qualtrics. For users taking surveys online, this date and time will be very similar to End Date. However, for responses that are imported, Recorded Date will often differ from End Date, instead reflecting when you manually uploaded the results, not when the survey taker finished.

Qtip: Noticing a difference of several minutes between End Date and Recorded Date? A slow internet connection can delay the time between when the participant submits their survey data and when Qualtrics officially saves it to the website.

ResponseID

The ResponseID is the ID Qualtrics uses to identify each response in the database. This identifier is provided as a reference and generally does not have a use in data analysis.

LocationLatitude and LocationLongitude

The location is an approximation determined by comparing the evaluator’s IP address to a location database. Inside the United States, this data is typically accurate to the city level. Outside the United States, this data is typically only accurate to the country level.

Qtip: A response must be complete in order to record GeoIP data and thus calculate a latitude and longitude. Incomplete responses will not contain a latitude or longitude.
Qtip: Latitude and longitude data values are based on city/zip code and cannot be used to identify a specific location or individual.

Metadata and Embedded Data

Any metadata saved to your participants and embedded data saved to responses will appear as data columns.

Example of exported metadata

Only embedded data fields saved in the survey flow are included in the downloaded dataset.

Qtip: Curious about the Q_DataPolicyViolations column? See Sensitive Data Policy. Not every license has sensitive data policies enabled, so if this column is blank, don’t worry.

ParticipantName, ParticipantEmail, ParticipantUniqueIdentifier

The evaluator’s full name appears in the ParticipantName column in Last name, First name format. The ParticipantEmail is the evaluator’s email address. The ParticipantUniqueIdentifier is the evaluator’s unique ID.
the participant fields in an export

Last Metadata Update Timestamp

The date and time the metadata was last updated. This time is shown in GMT (UTC+0), not your account’s time zone.

This column may also be called “Timestamp Of Last Metadata Update.”

ThreeSixtyID, EvaluatorId, and SubjectId

All 3 of these IDs are internal IDs automatically generated by Qualtrics. The ThreeSixtyID is the 360 project ID, usually in the format TS_XXXX. The EvaluatorId is the person ID of the person who completed the evaluation (evaluator). The SubjectId is the person ID of the person who was subject of the evaluation (subject).

Relationship

Qtip: You can export just your nominations and relationship IDs using the Export Nominations option in Participant Tools.

The Relationship column contains the relationship between the subject and the evaluator. The relationship is shown as an exact relationship name, but you may also see this column being called “Id Of A Relationship Between Subject And Evaluator.”

Example of exported relationship and participant data

You may also see a column called “Q_Relationship” or “Relationship Name In Survey Default Language” that shows the name of the relationship in the survey’s default language.

Unsolicited

There are participant options where any participant in the 360 project can leave an unsolicited evaluation for a subject, without being nominated as an evaluator by the subject, manager, or project admin. The Unsolicited column tells you whether an evaluation was unsolicited. The column will be blank if the response was not unsolicited.

This column may also be called “Flag Indicating If Evaluation Was Unsolicited.”

SubjectName, SubjectEmail, SubjectUniqueIdentifier

The subject’s full name appears in the SubjectName column in Last name, First name format. The SubjectEmail is the subject’s email address. The SubjectUniqueIdentifier is the subject’s unique ID.
the subject fields in an export

Question Responses

Columns are headed with the question labels (Q1, Q2, etc.) and the beginning lines of the question text.

Example question data export

Question data is formatted the same in survey projects. See Question Responses for more detail on how this data is formatted.

Scoring Results

For surveys using Scoring, the score for each category is included in the dataset. Each scoring category gets its own column of data. In the example below, the survey only had 1 scoring category, called “Readability.”

This score is a sum of the points the respondent earned in the category, not an average.

CSV column with SC0 column highlighted

The “SC” in the header stands for “Scoring Category,” and the number represents the number category it is, counting up from zero. Because the example survey above has 1 scoring category, we see SC0, but if there were more, we would see SC1, SC2, and so on.

Randomization Data

If you randomized blocks or questions in your survey, then you’ll have randomization data available in your dataset.

CSV file with block order columns

Data from randomized 360 projects is formatted the same as it is in survey projects. See Randomization Data for more detail on how to understand this data.

File Format Differences

Though all file types download the same data fields described above, each features a layout that may be slightly different. These are much the same as the the file formats available for the Survey Platform, so read the support page on different file types for Survey Platform exports for more detailed information.