Survey Results Analysis
With the result of a web based survey collated and received, the next concern of a survey sponsor would be to analyze the results so as to interpret and benefit from the survey. The concept of e-survey is done to enable researchers gather insightful information in order to make informed better decisions. E-survey has become quite popular pushing traditional methods of survey to the background. With different online survey software now available both for free and at a cost, undertaking online surveys has become easier and more widely accepted and practiced. However, the best conducted survey becomes useless if the survey result analysis is not properly done.
Survey result analysis is usually dived into quantitative and qualitative analysis of collected data. Quantitative analysis refers to the numerical aspects of the collected data. It measures the frequency of variables and the statistical relationship with other variables in the survey. Quantitative analysis use tools of statistics such as frequency, percentage, mean, standard deviation and the like. Quantitative analysis expresses survey data in percentage and tabulated form. It is concerned with how many of the total survey sample are male, female, employed, use the product and further examples such as this. Variables are drawn from responses from survey form and result of each variable is usually tabulated in a simple frequency table.
Qualitative analysis is different from quantitative as it is not overly concerned with just numbers or the frequency of occurrences. Qualitative survey result analysis measures the impact of such occurrences, tries to understand the reason behind them and the proper sways to benefit from such information. So while quantitative analysis of online survey results would be able to tell the number of women with cars in a sample, qualitative tries to analyze reasons and ways to benefit from the information.
Researches and marketers need to be able to properly analyze survey results so as to be able to get insightful views, opinions, and preferences of their consumers and use this to improve on products, packaging and marketing in general. Daily a lot of data are collected from surveys and polls conducted online. From all of these valid data would have to be sorted out. Incomplete surveys, inconsistent surveys and not properly filled survey forms would have to be rejected to be sure that that to be analyzed is valid and a fair representation of the sample.
For survey result analysis to be useful, the survey structure should be ideal for the purpose of the survey. The right questions should be asked and the relevant sample group targeted. Gathering information for example from male respondent would not really help in a survey intended for a manufacturer of products for single mothers. The right group should be identified, targeted and reached as, only then could survey result analysis be considered as useful, relevant and valid. Only when the right group partook of the survey, the proper analysis tools used and the right decisions drawn could it said that the survey was successful and worth the effort.