Some recommendations for the reporting of quantitative studies

Ximena López, Jorge Valenzuela, Miguel Nussbaum*, Chin Chungl Tsai

*Corresponding author for this work

Research output: Contribution to journalEditorialpeer-review

64 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)106-110
Number of pages5
JournalComputers and Education
Publication statusPublished - 2015 Dec 15
Externally publishedYes

ASJC Scopus subject areas

  • General Computer Science
  • Education


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