What do the codes 0, -66, -77, and -99 mean in my data set?

Overview

This article explains the meaning of specific codes (0, -66, -77, and -99) that may appear in your data set. Understanding these codes is crucial for correctly interpreting survey responses and managing data in Questback projects.

Information

The codes 0, -66, -77, and -99 are used to represent different scenarios in survey responses, particularly for project variables of type v_000. Each code has a specific meaning depending on the context and type of question.

• Understanding the Codes
• Special Considerations for Text Boxes
• Customizing Missing Response Values

Understanding the Codes

The codes in your data set have the following meanings:

Code 0

For project variables of type v_000 (except text boxes): The respondent has seen the question but has not edited it.

For respondent management variables of the "text box" type: This indicates a pre-filled entry where the variable has not been filled.

Code -66

For project variables of type v_000 that refer to text boxes: The respondent has not seen the question concerned because it was hidden.

Code -77

For project variables of type v_000 (except text boxes): The respondent has not seen the question concerned. This could be because they aborted the survey or because they were not shown the question/page due to filter settings.

Code -99

For project variables of type v_000 that refer to text boxes: The respondent has seen the question but has not edited it.

Special Considerations for Text Boxes

For text boxes, the code -99 indicates that a respondent has seen a question but has not answered it. This is different from the meaning of -99 for other types of questions.

Customizing Missing Response Values

It's important to note that you have the ability to set the "missing response" values within the exported data sets yourself. This allows for customization based on your specific project needs.

FAQ

What does it mean if I see a 0 in my data set?

For most variables, it means the respondent saw the question but didn't edit it. For text box variables in respondent management, it indicates a pre-filled entry that wasn't changed.

How do I interpret -66 in my results?

The code -66 is specific to text box questions and means the respondent didn't see the question because it was hidden.

What's the difference between -77 and -99 for text boxes?

-77 means the respondent didn't see the question at all (e.g., due to survey abortion or filtering), while -99 means they saw the question but didn't answer it.

Can I change these codes in my exported data?

Yes, you can set custom "missing response" values in your exported data sets to suit your analysis needs.