top banner top banner
index
RegularArticles
ReplicationStudies
EditorialBoard
Instructions4Authors
JournalGuidelines
Messages
Submission

Search publications:

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

Full text PDF
Bibliographic information: BibTEX format RIS format XML format APA style
Cited references information: BibTEX format APA style
Doi: 10.20982/tqmp.10.1.p001

Cousineau, Denis , Helie, Sebastien
1-4
Keywords: Editorial , category of articles , outstanding data set
(no sample data)   (no appendix)

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..


Pages © TQMP;
Template last modified: 2017-16-01.
Page consulted on .
Be informed of the upcoming issues with RSS feed: RSS icon RSS