A balance is basically a combination of sought percentages of the values in member profile fields of the total available response count. For example, you might want 20% male, 50% US/Canada residents, 40% College Graduates in your total response count.
Data analysts typically build a response model with a convenience sample, in which the distribution of responders and nonresponders does not reflect the population response rate. The procedure for adjusting the sample to match the population response rate is called sample balancing. Sample balancing is easy to understand; We have kept it equally simple to compute the feasibilty and other details.
You can add a sample balancer under the panel tab after selecting the correct panel on the My Panels screen.
Go to: Communities >> Analytics >> Balancing >> Add Sample Balancer
This is done automatically. After following the above steps, the following screen will display the computation of feasibility.
Diese Funktion ist mit der folgenden Lizenz verfügbar: