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What does a correlation mean in a survey?
Strictly speaking, correlation can only indicate the strength of the statistical relationship between two survey questions. It cannot indicate which of those items is influencing the other item. (And in some cases, there could even be a third, unmeasured factor that is the real cause of the observed correlation…
How to talk about correlation and causation in survey results?
How to talk about correlation and causation in survey results ResourcesSurveyMonkey.com Log inSign up Blog results Showing 0of 0results No stories found Stay curious! You’ll find something. Resources SurveyMonkey.com Sign upLog in Survey Science How to talk about correlation and causation in your survey data Jillesa Gebhardt5 min read
When to use a multilevel model for correlation?
Instead, you want to use models that can account for the correlation that is present in your data. If the correlation is due to some grouping variable (e.g. school) or repeated measures over time, then you can choose between Generalized Estimating Equations or Multilevel Models.
Ignoring this correlation means that standard error cannot be accurately computed, and in most cases will be artificially low. The best way to know if your data is correlated is simply through familiarity with your data and the collection process that produced it.
Can you compare two sets of correlations?
If you are looking at two sets of correlations that have very different numbers of respondents, you can NOT compare the correlation coefficients from each list to one another. You need to look at each list independently and draw conclusions only within each list.
How are correlations used in customer satisfaction surveys?
The same technique can also be used for customer satisfaction or other types of surveys as well. Correlation is a statistic that measures the linear relationship between two variables (for our purposes, survey items).
Can a correlation be used to determine cause and effect?
From a statistical perspective, we have to make one disclaimer. Correlation cannot determine cause and effect. Strictly speaking, correlation can only indicate the strength of the statistical relationship between two survey questions. It cannot indicate which of those items is influencing the other item.