Difference between revisions of "Questionnaire Programming"
(Created page with "The first rule of Questionnaire Programming is to not start programming your survey before you have questionniare already. If you do not have a questionnaire, go to [[Question...") |
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= | = Read First = | ||
First you need a population frame to sample from. | First you need a population frame to sample from. | ||
= | = Choiosing Software = | ||
To ensure a representative sample you can use stratification. An typical variable to stratify on is gender. When you stratify on gender you guarantee that your sample has the same ratio of women as the population frame you are sampling from. | To ensure a representative sample you can use stratification. An typical variable to stratify on is gender. When you stratify on gender you guarantee that your sample has the same ratio of women as the population frame you are sampling from. | ||
= | = Setting up your server = | ||
All code work you produce should be reproducible. Any code that includes randomization needs version, seed and sort to be reproducible. See [[reproducible randomization in Stata]] for details. | All code work you produce should be reproducible. Any code that includes randomization needs version, seed and sort to be reproducible. See [[reproducible randomization in Stata]] for details. | ||
= | = Create a questionniare = | ||
= How to start coding your = | |||
Revision as of 16:31, 4 January 2017
The first rule of Questionnaire Programming is to not start programming your survey before you have questionniare already. If you do not have a questionnaire, go to Questionnaire_Design
Read First
First you need a population frame to sample from.
Choiosing Software
To ensure a representative sample you can use stratification. An typical variable to stratify on is gender. When you stratify on gender you guarantee that your sample has the same ratio of women as the population frame you are sampling from.
Setting up your server
All code work you produce should be reproducible. Any code that includes randomization needs version, seed and sort to be reproducible. See reproducible randomization in Stata for details.