Selecting Statistical Methods for the Learning Sciences and Reporting Their Results

Authored by: Bram De Wever , Hilde Van Keer

International Handbook of the Learning Sciences

Print publication date:  April  2018
Online publication date:  April  2018

Print ISBN: 9781138670594
eBook ISBN: 9781315617572
Adobe ISBN:

10.4324/9781315617572-51

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Abstract

This chapter presents four recommendations to consider when selecting, conducting, and reporting on statistical analyses in the field of the learning sciences. The aim of the chapter is realistic and consequently not to provide you with an exhaustive list of statistical methods that can be used in learning sciences research and all ways of reporting them. Since there are many methods and different ways of handling a variety of data within this broad research field, needless to say it is impossible to provide a full overview of all statistical methods used and thought relevant in the learning sciences or to provide a complete overview of recommendations for future work. Rather, we would like to put forward some elements that should be taken into consideration when selecting appropriate data analysis techniques and when reporting the results of studies conducted within this field. These elements—we call them recommendations, but they can also be read as matters to reflect on—will be illustrated with a selection of studies that we consider “good practices”. In the following, we briefly elaborate on typical characteristics of learning sciences research, before presenting four recommendations related to these features. Then, we illustrate our recommendations by means of some selected exemplifying articles, and conclude with a short discussion section and five commented further references.

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