Damien Rolon-Mérette, Kinsey Church, Matt Ross, Thadde Rolon-Merette
{"title":"Introduction and purpose of the tutorial series Python for Research in Psychology","authors":"Damien Rolon-Mérette, Kinsey Church, Matt Ross, Thadde Rolon-Merette","doi":"10.20982/tqmp.16.5.s001","DOIUrl":null,"url":null,"abstract":"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 au-tomating tasks, analysing results through complex statistical analysis, and the development of more advanced artificial intelligence possible. However, in psychology, computer programming is still be-ing 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 compre-hensive guide to programming for psychological research in one of the most versatile languages: Python! For submission details, please see the guidelines below.","PeriodicalId":93055,"journal":{"name":"The quantitative methods for psychology","volume":" ","pages":""},"PeriodicalIF":1.3000,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The quantitative methods for psychology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20982/tqmp.16.5.s001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
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 au-tomating tasks, analysing results through complex statistical analysis, and the development of more advanced artificial intelligence possible. However, in psychology, computer programming is still be-ing 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 compre-hensive guide to programming for psychological research in one of the most versatile languages: Python! For submission details, please see the guidelines below.