Survey Support Desk/Glossary
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Total participants includes everyone who SAW the question, whether they responded or not.
Answered questions includes everyone who selected any option.
Participants in graphEdit
Everyone who is represented in the graph. For scale questions or single-choice questions (e.g. Strongly agree/strongly disagree scales), the count only includes the number of people who responded in the scale. If someone chose "No opinion" or "I don't know" they are excluded. The reason for this is
There are generally two types of missing data with surveys. People who skipped the question and people who's response is out of scope of the question. An example of this is "no opinion" on strongly agree/disagree scales. This response is important to the question, but it tells you who doesn't really care much about the issue or perhaps doesn't feel knowledgeable to answer the question.
The count in here are those who saw the question but chose not to respond. The only way we know this number is because Qualtrics records it for us.
This number is not yet available and likely won't be this year. Since surveys are often multiple questions, it is good to know how many people did not finish to get a sense of the completion rate.
A distribution is normal if the data look like a standard bell curve. If the data in a question is normal, this tells us that we are able to conduct additional analyses of the data.
The mean is only displayed if the data is normal. Otherwise the median is shown.
When the data is not normal, or if there is a low response rate, the median is a more meaningful representation of the central tendency of the results. Comparing the Median and Mean can you information about the skew of the results.
The mode tells us which option was chose the most.
Margin of errorEdit
The margin of error only applies to questions that were found to have a normal distribution. Margin of error tells you how much error the question may have in reporting a number. For example if a mean is 3.5 and the margin of error is 10%, this means that the true value may vary from 3.0 to 4.0.
The standard deviation, like the mean, median and mode, tell us more information about the distribution of the data and its variance (e.g. how spread out the data is).