Maximizing the Reproducibility of Your Research

Publication: Chapter in book/Conference proceedingChapter in edited volume


This chapter provides concrete suggestions for increasing the reproducibility of one's own research. It addresses reproducibility across the research lifecycle: project planning, project implementation, data analysis, reporting, and programmatic research strategies. The chapter attends to practical considerations for surviving and thriving in the present scientific culture, while simultaneously promoting a cultural shift toward transparency and reproducibility through the collective effort of independent scientists and teams. Journals, granting agencies, and professional organizations are adding recognition and incentives for reproducible science such as badges for open practices and the TOP Guidelines for journal and funder transparency policies. Within the nearly universal null hypothesis significance testing (NHST) framework, there are two inferential errors that can be made: falsely rejecting the null hypothesis, and falsely failing to reject it when it is false. In the ideal confirmatory analysis, the analysis script is created in advance and executed upon completion of data collection.
Original languageEnglish
Title of host publicationPsychological science under scrutiny: Recent challenges and proposed solutions
Editors Lilienfeld, S.; Waldman, I.
Place of PublicationHoboken
PublisherJohn Wiley & Sons
Pages1 - 21
ISBN (Print)9781118661079
Publication statusPublished - 2017

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