Advanced statistical modelling ideas, a challenge for research in culture and education

Amir Hefetz, Gabriel Liberman, Naymé Daniela Salas

Research output: Contribution to journalArticleResearchpeer-review

Abstract

© 2017 Fundacion Infancia y Aprendizaje. The availability of computerized statistical packages allows us to plug in our data and to expect a set of estimates, which we can communicate in our final research report. However, statistical software is not an end; it is only the means. Our responsibility as researchers is to develop a set of arguments that explain why our final methodological choice is the better one, which will yield reliable answers for the study questions within the theoretical setting. Journals of all types require authors to deploy innovative statistical models when analysing collected data. Yet, the problem of advanced modelling strategies still remains — authors disregard key assumptions, choose the wrong analytical strategies and are not aware of alternative strategies to support or reject their hypotheses. This special issue provides readers with a reference framework for some of the most common methodological concerns. The articles included in this monographic issue deal with relatable scenarios and offer state-of-the-art statistical approaches to data treatment. We are confident that this special issue will be extremely useful to past and future authors of Cultura y Educación, and we hope it will increase the quality of the papers published by the journal.
Original languageEnglish
Pages (from-to)395-408
JournalCultura y Educacion
Volume29
Issue number3
DOIs
Publication statusPublished - 1 Jan 2017

Keywords

  • Bayesian statistics
  • Mixed methods
  • Plausible values
  • Sample size
  • Statistical modelling

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