Quotas

You use quotas to define the requirements for the sample in terms of the numbers of respondents who have certain characteristics or combinations of characteristics, such as, age, gender, socioeconomic class, type of car owned, and so on.

Sample management quota requirements can be represented as a series of expressions, each of which defines a particular characteristic or set of characteristics and the number of interviews required with respondents having those characteristics. For example, if you want to interview 875 men and 875 women, you need two quota expressions, as follows:

Similarly, quotas based on age and gender could be defined as:

You define the quota requirements for projects using the Quota Setup program.

Expression	Value
gender={male}	875
gender={female}	875

Expression	Value
gender={male} And age<=30	350
gender={female} And age<=30	350
gender={male} And age>30	350
gender={female} And age>30	350

Note The characteristics on which you base sample management quotas must come either from the sample records or from information that the respondent enters on a pre-authentication page.

For each quota expression, UNICOM Intelligence Interviewer - Server keeps track of the following:

▪Rollback count. The number of respondents who met the requirements for the expression but whose interviews were terminated because the respondent also belonged to another quota whose target had already been met.

The sample management script can check these counts to determine whether an interview should go ahead.

You can specify in the sample management script when respondents are added to the Pending, Completed, and Rollback counts. Generally, respondents are added to the Completed count when they complete a questionnaire. However, you may sometimes want to add respondents when they are only part-way through the questionnaire.

Quota control in sample management is just one aspect of the whole UNICOM Intelligence Interviewer - Server quota control system. The rest of the system covers quota control in the questionnaire script, where quotas may be based on answers to questions in the script, or on a combination of script and sample management data. For example, suppose that you have a panel of respondents who regularly connect to your website to participate in various surveys. Each person's sample record contains personal data such as age, gender, and the region in which the respondent lives. For one particular survey you want to interview only 875 men and 875 women. This information is available to sample management, so the quota checks can be made in the sample management script.

Another survey requires interviews with 500 male car owners and 500 female car owners. Car ownership information comes from a question in the interview so the quota control must be applied within the interview, even though gender is available at the sample management stage.