Extra Flashcards
Standard error
the standard deviation of sample means. As such it is a measure of how representative a sample is likely to be of a population.
A large standard error (relative to the sample mean) means
that there is a lot of variability between the means of different samples and so the sample we have might not be representative of the population.
A small standard error means
that most sample means are similar to the population mean and so our sample is likely to be an accurate reflection of the population.
One-tailed
Has a direction (A is larger than B)
Two-tailed
Has no direction (A is different to B)
The higher the F (at least 1)
the better the model
Interpretation of βi-coefficients is
ceteris paribus (other things equal)
How to do randomization check?
You do this by testing if your control variables are significantly different between your treatment and control groups with a t-test, for instance
How to do manipulation check?
Very important: You want to test whether your treatment actually had the desired effect.
In the example, you want to see if chatbots actually had higher interactivity and social presence than conventional review forms.
T-test for outcome variable between treatment and control group
