Open Science.

Making our science transparent, replicable, and reproducible is important. It improves our scholarship, while also increasing both the legitimacy and potential impact of our work. Stemming from our vision to encourage and support open science, this page contains resources to learn more about what open science is and how you can contribute to it.

Transparency and Openness Promotion (TOP) Guidelines at the Journal of Applied Psychology

​Effective November 1, 2021, empirical research, including meta-analyses, submitted to the Journal of Applied Psychology must, at a minimum, adhere to the TOP Levels as noted in the table below. The table presents the domains of research planning and reporting, the TOP Level required by the Journal of Applied Psychology, and a brief description of the journal’s policy.

Domain	TOP Level at JAP	Policy
Citation	2 Requirement	​All data, program code and other methods not original to the submitted work (developed by others) must be appropriately cited in the text and listed in the References section.
Data Transparency	1 Disclosure	​Article states whether or not the raw and/or processed data on which study conclusions are based are available and if so, where to access data.
Analytic Methods (Code) Transparency	1 Disclosure	​Article states whether or not the computer code or syntax needed to reproduce analyses in an article is available and if so where to access it.
Research Materials Transparency	1 Disclosure	​Article states whether materials described in the Method section are available. If available, then state where to access them.
Design and Analysis Transparency (Reporting Standards)	2 Requirement	​Article must follow the JAP methods checklist and all relevant aspects of the APA Style Journal Reporting Standards (JARS).
Study Preregistration	2 Requirement	Article states whether the study design and (if applicable) hypotheses of any of the work reported were preregistered and, if so, where to access it. Access to a masked version of the preregistered materials should be available at submission via stable link or supplemental material.
Analysis Plan Preregistration	2 Requirement	​Article states whether any of the work reported was preregistered with an analysis plan and, if so, where to access it. Access to a masked version of the preregistered analysis plan should be available at submission via stable link or supplemental material.

General Information

• The Open-Access Model of Journal Publishing (Association for Psychological Science): www.psychologicalscience.org/observer/open-access-journal-publishing
• Preregistration: 
  • https://www.cos.io/blog/preregistration-plan-not-prison
  • https://www.psychologicalscience.org/observer/research-preregistration-101
• Transparency and Openness Promotion Guidelines: https://www.cos.io/initiatives/top-guidelines
• Talking About Reproducibility in ReproducibiliTea (Cobb & Thomas, 2022): https://www.siop.org/Research-Publications/Items-of-Interest/ArtMID/19366/ArticleID/5701

Open Science at APA

• Overview on Open Science at APA: ​www.apa.org/pubs/journals/resources/open-science
• Journal Article Reporting Standards (JARS): apastyle.apa.org/jars​​

Open Science in Our Journals

Journal of Applied Psychology

• Editorial: Supporting and Enhancing Scientific Rigor (Chen, 2018): http://dx.doi.org/10.1037/apl0000313

Academy of Management

• Green Open Access: https://aom.org/research/publishing-with-aom/author-resources/open-access

Journal of Business and Psychology

• JBP Special Initiative Results-Blind Review: https://jbp.uncc.edu/

Administrative Science Quarterly

• ​Editorial Essay: The Tumult over Transparency: Decoupling Transparency from Replication in Establishing Trustworthy Qualitative Research (Pratt et al., 2019): https://doi.org/10.1177/0001839219887663

Organizational Behavior and Human Decision Processes

• Actionable Recommendations for Narrowing the Science-Practice Gap in Open Science (Aguinis et al., 2020): https://doi.org/10.1016/j.obhdp.2020.02.007

Journal of Management

• Editorial Commentary: Harking, Sharking, and Tharking: Making the Case for Post Hoc Analysis of Scientific Data (Hollenbeck & Wright, 2017): https://doi.org/10.1177/0149206316679487

The Industrial-Organizational Psychologist (TIP)

• "Opening Up" Column : ​https://www.siop.org/Research-Publications/Items-of-Interest/ArtMID/19366/ArticleID/3166