A larger or smaller population is asked to answer certain questions in order to analyze them. This analysis is really important for several reasons :
But often this work is very hard. It takes a lot of time and money. Brew Survey is there to make your life easier, especially in its segmentation tools, during or after the questionnaire. In this topic we will show why and how
You have to consider the weight of every question. Some are more important than others and as a consequence you should give them more importance in your analysis. For example, demographic questions are not very important in the analysis. They are like tool to help you with the survey but are not the main part that you want to analyse.
You can analyse your responses according to the segmentation you did of your audience. For example, if you segmented your audience according to age, you will focus on one hand on the responses of the 25-35 years old, and on the other hand, focus on the 35-45 years old. You will understand what decision you have to make regarding this particular group, and what decision you need to make regarding this other one.
Segmentation is one of the most important methodologies, for analyzing results because it lets you see the data in context to a specific sample size. Sampling ensures convenience, collection of intensive and exhaustive data, suitability in limited resources and better rapport. In addition to this, sampling has the following advantages also, even you do it before or after have done the survey.
As the size of the sample is small compared to the population, the time and cost involved in sample study are much less than complete counts. For complete counts, huge funds are required, and there is always the problem of finances. A small sample can be studied in a limited amount of time and the total cost of a sample study is very small. For a complete count, we need a big team of supervisors and enumerators who must be trained and paid properly for the work they do. Thus, a sample study requires less time and less cost.
Use of sampling takes less time also. It consumes less time than census technique. Tabulation, analysis etc., take much less time in the case of a sample than in the case of a population.
The investigator is concerned with the generalization of data. To study a whole population in order to arrive at generalizations would be impractical.
Some populations are so large that their characteristics could not be measured. But the process of sampling makes it possible to arrive at generalizations by studying the variables within a relatively small proportion of the population.
If the users collect information about all the units of a population, the collected information may be true, however we are never sure about it. We do not know whether the information is true or is completely false. Thus we cannot say anything with confidence about the quality of the information, so we say that reliability is not possible. This is a very important advantage of sampling. The inference about the population parameters is possible only when the sample data is collected from the selected sample.
But the reliability of the sample depends upon the appropriateness of the sampling method used. The purpose of sampling theory is to make sampling more efficient. But the real difficulties lie in selection, estimation and administration of samples. It’s why you can better ask a bigger population, and then segment it to isolated a chosen sample. Brew Survey becomes the perfect tool to do that!