Introduction and purpose of the tutorial series Python for Research in Psychology

In the era of advanced computers and state-of-the-art software, there have been great strides in the domains of research and engineering. These advancements have been made possible through the popularity, accessibility, and integration of computer programming. This has made automating tasks, analysi...

Full description

Bibliographic Details
Main Authors: Rolon-Mérette, Damien, Church, Kinsey, Ross, Matt, Rolon-Mérette, Thaddé
Format: Article
Language:English
Published: Université d'Ottawa 2020-12-01
Series:Tutorials in Quantitative Methods for Psychology
Subjects:
Online Access:https://www.tqmp.org/SpecialIssues/vol16-5/S001/S001.pdf
Description
Summary:In the era of advanced computers and state-of-the-art software, there have been great strides in the domains of research and engineering. These advancements have been made possible through the popularity, accessibility, and integration of computer programming. This has made automating tasks, analysing results through complex statistical analysis, and the development of more advanced artificial intelligence possible. However, in psychology, computer programming is still being underutilized. A major factor contributing to this is the steep learning curve for programming that is compounded by a lack of tutorials and knowledge specifically geared towards psychology. Thus, the purpose of this series is to bridge this gap and lower the learning barrier for researchers. This series invites anyone to send their own tutorials and contribute towards building a comprehensive guide to programming for psychological research in one of the most versatile languages: Python! For submission details, please see the guidelines below.
ISSN:1913-4126