I know full well that it is an easy study.
If I get this information from 200 managers, I'll have a pretty good idea.
My intention isn't to find out everything perfectly, but the most accurate way possible.
As you say, there are many influencing factors, but how more data ask fewer teams are going to send me your details and prefer to gather data from many teams that are in short supply, instead of receiving data from a few teams.
To conduct a survey, so there is minimal relative error that meet the most people possible.
It is better to interview 2,000,000 people more or less than 200,000 respondents who interviewed very well.
My intention is to find the% of a public relations from one level to another.
Develop my study as follows:
1. I ask many USER data.
2. Together all data and keep it in my working folder.
3. Do a study on the book and I can publish the study and make a hypothesis about the outcome.
[For example, I get this data:
·100 teams to increase the technical staff have been increased by 2%
·40 teams have been increased by 3%
·20 teams have been increased by 1%
·40 teams have been down by 2%].
4. Find out if this hypothesis is true.
5. I ask again, data teams are interviewed to see if the same profits or losses previously.
6.Finally if my hypothesis is confirmed, the study ended.
7. If my hypothesis isn't confirmed, I will repeat some steps.
In the other study, which is to find the% of more and less to lose / gain in the pavilion as the global rankings'm studying computers that have not changed their public relations.
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