Secondary info analysis identifies the application of already available study data to search for a different solution to a different dilemma (problem). Secondary data could possibly be recent data gathered coming from personal declaration or considerable secondary data analysis online surveys. Data analysis may be used to test out theories and create fresh ones. It can also be applied to generate new or interpret previous leads to order to help improve future homework results.
The usual setup of secondary data analysis is much like this. A survey is done by gathering quantitative data set coming from individuals. Some of these data collection may not be that useful to the researchers hence it is thrown away; while some from the set may well provide interesting insights in to the subject. Some of the qualitative questions included may not have been asked in the main research, hence may provide answers to previously unknown problems. Quantitative data places however are useful as they help in examining results and finding out relationships between variables. These kinds of relationships can then be used in the analysis.
The main benefit of secondary info analysis is the fact it provides a ready-made solution to problems raised by quantitative groundwork. All the qualitative information accumulated from the distinct sources (survey, qualitative analyze, etc . ) can be easily assimilated and utilized to answer a research question. While using available means, a researcher can create multiple regression models applying different parameters from the multiple collected data pieces. These versions can then be examined to identify the result of the predictor on the result. Once the effect of the predictor on the result is found, then researcher can easily discard the other predictors and proceed with the supplementary analysis.