This set of suggestions aim to provide examples of a series of elements that may significantly contribute towards demonstrating the robustness of quantitative results. It is therefore not a methodological guide but instead a guide that acts as a reminder of some basic principles when reporting this type of study. The research in Computers & Education has moved beyond simple survey data and any research paper sent for review must triangulate the results from a variety of sources. We believe it is essential to highlight that a high quality paper with a quantitative approach must provide evidence not only of the robustness of its theoretical framework, but also of its design and the statistical procedures chosen in order to answer the research question. In this sense, the statistical report must satisfy the following general principle: demonstrate the solidity of the treatment of the data so as to allow the robustness of the results and generalisability of conclusions to be evaluated.
ASJC Scopus subject areas
- Computer Science(all)