After the outcome of an investigative process, whether the research is determined success or not, that’s summative research, which is also called ex-post research. It based on Quantitative research, certainly, it usually shows its objective. Data comparison and survey analysis are very common ways for summative research. It results by collecting specified data, however, the data must be correct and valid. So, it should be executed ideally and designed carefully.
In addition, there are 5 methods of summative research. Firstly, Outcome evaluations, which is a significant final step in many research and experiment to estimate whether or not the results can be achieved and will be considered successful.Secondly, Impact evaluation, which assesses the changes that both the intended ones, as well as ideally the unintended ones. Thirdly, it is cost-effectiveness and cost-benefit analysis. We need to find out their dollar values and costs, otherwise, we can not identify what results standard are. That’s necessary. Fourthly, we need ensure further whether or not new problems exist and try to solve it as soon as possible. Lastly, Meta-analysis, which combines with multiple research outcomes to estimate and recognize what real problems are there.
Every coins have two sides, likewise, summative research has pros and cons. It can offer data which show many problem are there, and guides how we solve them by those problem solving data. It is not only good for identify effectiveness of the research, but also it can affect next project. On the contrary, in the process of summative research, we need to collect large volumes of data, it could be time consuming and expensive. It might not show initial motives by what pattern we has observed. The analysis might a descriptive way and based on raw data. In short, summative research is still useful and accurate. It measure your project if it is a feasibility project, and remind you to avoid some same problem and guide the direction of the project.
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