دانلود رایگان مقاله برخی از توصیه ها برای گزارش دهی مطالعات کمی

The quality of research design and results reporting are of paramount importance when judging and ultimately accepting academic articles for publication. The pertinence of methodological procedures and the appropriateness of statistical analysis are not only relevant to defend the robustness of the research results being presented; more importantly, they are relevant to understand the contribution of these results to the broader field of study. The academic debate has become increasingly controversial regarding the use of widely accepted statistical procedures, such as null hypothesis significance testing and related techniques (Sharpe, 2013; Trafimow & Marks, 2015). Quantitative experts have criticised the over-reliance on these procedures as they not only provide insufficient quantitative information on the data; more worryingly, they may also mislead the interpretation of results by fellow researchers (Kline, 2013). The debate has also been extended to other procedures, suggesting that misuse of appropriate statistical practices may stem from insufficient knowledge of further statistical concepts (such as statistical power and test assumptions) or from a lack of awareness of more modern and advanced statistical techniques (Sharpe, 2013). In other cases, such misuse may be associated with theoretical and/or operational difficulties when planning or carrying out the study (Cumming, 2014).

5. Summary

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.