Outstanding Data sets: A new category of articles that promotes modelling published in the Quantitative Methods for Psychology

• Main Authors: Denis Cousineau, Sebastien Helie
• Format: Article
• Language: English
• Published: Université d'Ottawa 2014-04-01
• Series: Tutorials in Quantitative Methods for Psychology
• Subjects: Editorial; category of articles; outstanding data set
• Online Access: http://www.tqmp.org/Content/vol10-1/p001/p001.pdf

Model comparison requires that the data set be fixed. Yet, it is common practice to replicate studies when a researcher wishes to test a new model. Consequences of this practice are (a) reduced comparability between model fits, and (b) unnecessary time and money invested in experimentation. The Quantitative Methods for Psychology journal opens a new category of articles, the Outstanding data sets, whose purpose is to publish research paper as well as research data. With this new category of paper, modeling cycle will take less time because it won't be necessary to rerun an experiment just to have a data set..