AMPPS Project Announcements
Invitation to Participate in a Multi-Lab Registered Report
Are you interested in joining a large collaborative replication effort on Construal Level Theory? We invite researchers to join an international multi-lab study consisting of four replication experiments on the effect of psychological distance on construal level. The study recently received in-principle acceptance at Advances in Methods and Practices in Psychological Science (AMPPS). The pre-data manuscript can be found at https://psyarxiv.com/wqbhd/.
The study is led by Sofia Calderon, Erik Mac Giolla, Timothy Luke, and Karl Ask at the University of Gothenburg, Sweden. Currently, 53 laboratories from 24 countries in Europe, North America, Asia, and Australia have confirmed their participation, and many more have expressed their interest in participating. We welcome labs from all countries, and especially encourage laboratories from South America, Africa, and Asia. As a participating lab, we ask you to collect a minimum of 100 participants by the deadline for data collection (May, 2024).
On the replication project website, https://climr.org/, you can find information about the researchers coordinating the study, an FAQ for contributing labs, and more.
Do you wish to participate?
Please sign up via this form: https://climr.org/register/. The specific requirements for participating are outlined at the top of the sign-up form. Please make sure to read them carefully and consider if you can participate.
If you have any questions, don’t hesitate to reach out to us at email@example.com.
We look forward to collaborating with your lab!
Advances in Methods and Practices in Psychological Science (AMPPS) is encouraging new paper submissions on a range of topics. We are especially interested in papers covering one of the following topic areas:
- Missing data analysis. AMPPS would like to publish a cutting-edge review of best practices and/or new developments in missing data analysis, and the journal is open to considering a range of topics in this important area.
- Qualitative data analysis and mixed methods. AMPPS is committed to promoting methodological pluralism as a means of advancing psychological science; we are interested in publishing papers—including research tutorials—that advance the use of qualitative and mixed methods across the field. We invite broad introductions to mixed methods, as well as application examples, although the latter must be in terms of promoting and illustrating the methods rather than solving substantive questions.
- Metascience. AMPPS is interested in a wide range of metascience papers that help improve the credibility of work in our discipline. Topics include (but are not limited to) papers discussing post-publication peer review (including registered reports of interventions and tools that would increase the practice and visibility of post-publication reviewing); papers that outline ways to change incentive structures in the field and reward best practices; papers that introduce and test tools in the area of computational reproducibility; and, papers that introduce new approaches for research synthesis. We are also interested in papers that offer new perspectives for encouraging the broader application open science practices, including Registered Replication Reports, across the entire field of psychological science.
- Measurement. AMPPS would like to publish papers that help improve measurement practices across the field. Topics of interest include (but are not limited to) methodologies and practices for measure development, analysis planning and transparent practices for measure use and evaluation, further development of or tutorials on psychometric methods and approaches to validation, and developing practices for integrating information from multiple measures and/or data sources. (AMPPS does not publish instrument validation papers. Measurement contributions on these or other topics should be of broad interest.)
- Data harmonization. The integration of data across multiple, large national and international data sets is increasingly common. AMPPS wishes to publish paper(s) on best practices in data harmonization, including tutorials that illustrate and make accessible specific harmonization practices.
- Data management. High-quality data management practices are essential to producing a robust and credible science. AMPPS is interested in publishing content that increases awareness about best practices in data management, including articles that illustrate or discuss tools for enhancing scientific workflow.
- Descriptive data analysis. Psychological science will benefit by expanding its attention and focus to questions of “what is” and “what was” relative to questions of “why,” which rely primarily on predictive modeling. AMPPS is interested in encouraging new papers that expand the scope of descriptive modeling methods in psychological science, including but not limited to the application of Machine Learning (e.g. text to data) and other “Big Data” approaches in the context of descriptive exploratory research.
- Causal inference. AMPPS is interested in a number of topics related to causal inference, especially those that introduce methods and practices more commonly used in econometrics and public health into psychological science. The topics of interest, especially for tutorial-style papers, include (but are not limited to) instrumental variable analyses, difference-in-differences models, Mendelian Randomization, and estimating causal effects of time-varying exposures. Also of interest in this broad area are papers detailing the limits of causal modeling in psychology as well as direct application papers, especially in the area of intervention science, including applications/considerations for evaluating novel interventions (e.g., virtual reality therapy, AI-powered chatbot therapies, etc).
- Analysis planning for advanced models. Preregistration, analysis planning, and registered reports are in use by psychological scientists, but more work is needed to develop practices for advanced modeling methods. AMPPS is encouraging submissions that develop and demonstrate how to preregister or plan an analysis using advanced and/or multistage methodologies– e.g., random effects and multilevel models, structural equation models, psychometric models, Bayesian methods, and other advanced analytic techniques.
The AMPPS submission guidelines provide detailed information on the types of papers we publish. All submissions should be accessible to a broad audience and written for non-specialists. Anyone interested in discussing a paper idea is welcome to contact David Sbarra, Editor of AMPPS, directly: firstname.lastname@example.org
Previous Announcements (now closed):
- Invitation to Participate in a Multilab Registered Replication Report
- Special Collection: Data Visualization
- Replication of Johns, Schmader, & Martens (2005)
- Replication of Study 3 from Trafimow and Hughes (2012)
- Replication of Nozaradan, Peretz, Missal, and Mouraux (2011)
- Special section: Using simulations to develop statistical intuitions
- Special Section: Design and analysis of interventions
Special Collection: Data Visualization
Advances in Methods and Practices in Psychological Science (AMPPS) is pleased to announce a call for manuscripts focused on visual communication of data, models, and results.
Researchers across many disciplines have advanced our understanding of best practices in data visualization, and new presentation formats and styles have proliferated with the advance of open-source analysis software. Simultaneously, empirical and theoretical work on how people perceive and interpret graphs and figures has advanced our understanding of best practices for communicating data.
In keeping with AMPPS‘s mission of helping researchers improve their research and statistical practices, the journal invites manuscripts on data visualization. All types of manuscripts published at AMPPS may be considered as part of this call. We seek tutorials teaching readers how to create and use new data visualization techniques, general articles on best practices for data communication, and new empirical work on practices that lead to correct or incorrect interpretation of data presentations (meta-science empirical work).
All papers published in AMPPS must present work that will be of interest and applicability across multiple subfields of psychology. We do not publish papers that address issues specific to a single literature. For example, a paper on best practices for data visualization in studies of inattentional blindness would not be appropriate, but a paper on how best to visualize differences in proportions might be if the same techniques could be applied in many subfields of psychology. And, papers must adhere to our standards for each article type. Papers should be understandable to a relatively novice reader. Tutorials should teach a skill from start to finish, so that a novice reader can apply the skill to their own work. Ideally, they should walk readers through a worked example. General articles should give empirically/theoretically grounded guidance for the use of a particular practice and should explain why it is an advance over other current practices. Empirical papers should adhere to our standards for openness and transparency, and ideally should take the form of registered reports. For all manuscripts, AMPPS expects code, materials, and data to be made available to reviewers (and publicly upon publication). We strongly encourage the use of open-source software and tools for all tutorials (e.g., R, Python, Shiny) rather than proprietary formats. Please see the submission guidelines for details on the requirements for each article type at AMPPS.
AMPPS is now an open access journal with an Article Processing Charge (APC) of $1000. The APC will be discounted or waived for authors who can demonstrate that they lack funding from their institution, grants, or other sources to pay it (i.e., authors will not be required to pay using personal funds). APC charges and waiver requests are processed by the production staff after acceptance of an article, and the editorial team is not involved in that process; editors and reviewers are blind to all aspects of the processing of article charges.
With open access publication, accepted articles will undergo copy editing and will be published as soon as production is complete, with an indicator that they are part of a collection. AMPPS will maintain a continuously updated list of articles in the collection on the journal website.
Interested authors should use this form to propose a manuscript for the collection. The editors will review these proposals and will encourage submission based on fit to the call for proposals, fit with AMPPS’s overall mission of reaching a broad audience, and on the need to avoid duplication of content in the section or with other AMPPS submissions. In cases where multiple teams simultaneously propose manuscripts on the same topic, we will aim to ensure diversity among the pool of authors in the issue. We do not have a fixed limit on the number of manuscripts for this collection.
We encourage submission of proposals using this form by March 1, 2021, but we will continue to consider proposals for manuscripts after that, and we will continue to add articles to the collection as they are accepted.
For questions about this call, please email Daniel Simons, Editor in Chief: email@example.com.
Replication of Johns, Schmader, & Martens (2005)
Deadline to join project: November 8, 2019
Deadline for data collection: December 31, 2020
We are soliciting participation in a multi-lab direct replication of the 2005 Psychological Science article, “Knowing is half the battle: Teaching stereotype threat as a means of improving women’s math performance,” by Johns, Schmader, and Martens. For more information on this AMPPS preregistered replication, please visit the OSF page at https://osf.io/zwnxy/. Here you will find a link to the detailed project manual and the experiment set-up instructions.
To sign up to participate in the project, please fill out this Contributor Application Form.
If you have any questions about participating, please contact a member of the lead research team:
Andrea Stoevenbelt (A.H.Stoevenbelt@uvt.nl)
Jelte Wicherts (J.M.Wicherts@uvt.nl)
Replication of Study 3 from Trafimow and Hughes (2012)
Deadline to join project: November 8, 2019
Deadline for data collection: December 31, 2020
AMPPS is soliciting participation in a multi-lab replication of Study 3 from Trafimow and Hughes’ article, “Testing the death thought suppression and rebound hypothesis: Death thought accessibility following mortality salience decreases during a delay,” published in Social Psychological and Personality Science in 2012. For more information on this preregistered replication project, please visit the OSF page. Here you will find a link to the detailed project manual and the experiment set-up instructions.
To sign up to participate in the project, please fill out this Contributor Application Form.
If you have any questions about participating, please email Sean Rife at firstname.lastname@example.org.
Replication of Nozaradan, Peretz, Missal, and Mouraux (2011)
We are soliciting participation in a multi-lab conceptual replication and extension of the Journal of Neuroscience 2011 article, “Tagging the neuronal entrainment to beat and meter,” by Nozaradan, Peretz, Missal, and Mouraux. For more information on this AMPPS pre-registered replication, please visit the OSF page at https://osf.io/rpvde/. Here you will find a link to the detailed project manual and the experiment set-up instructions.
To stay informed about the project, please fill out this interest survey. To sign up to participate in the project, please fill out this contributor sign-up form.
Please note: While the data collection period begins on May 1, 2019, labs may register to participate and begin data collection any time before the data collection end date of April 30, 2020.
If you have any questions about participating, please email Karli Nave at email@example.com.
Special section: Using simulations to develop statistical intuitions
Advances in Methods and Practices in Psychological Science (AMPPS) is pleased to announce a call for tutorial manuscripts focused on the use of simulations in developing statistical intuitions.
The use of simulations in psychological science and statistics is not new, but the advent of open-source tools for disseminating simulation code and for producing interactive web applications (e.g., Shiny Apps) has led to a rapid growth in the use of simulations to enhance statistical understanding. For many students and researchers, simulations provide an accessible way to better grasp statistical principles and to understand the consequences of analysis decisions; for example, they might allow users to vary statistical parameters in a given model or data-generating process and see the consequences of making different statistical assumptions or analytic choices.
In keeping with AMPPS‘s mission of helping researchers improve their research and statistical practices, the journal will publish a collection of tutorial papers that will be useful to researchers interested in gaining a better understanding of statistical principles and to students in and instructors of undergraduate and graduate statistics classes.
Each tutorial should help a relatively novice reader gain a better understanding of a statistical principle, practice, or skill through the use of simulations. Manuscripts should focus on core concepts that are relevant to the broad readership of the journal (psychological scientists from all subfields, using many types of data and employing a wide variety of statistical analysis). Each tutorial should include a brief introduction that motivates how and why the simulation approach is useful for understanding that concept and what insights users can gain by following the tutorial. The manuscript should walk readers through the process of using the code/tool in a step-by-step fashion. Ideally, the tutorial will work through multiple examples (ideally using different types of data from different content areas) to illustrate the usefulness and generality of the tutorial. We strongly encourage the use of open-source software and tools for all tutorials (e.g., R, Python, Shiny), and authors should make their well-commented code publicly available either in supplemental materials or at a permanent 3rd-party repository (e.g., osf.io or a shiny server). Please see the submission guidelines for details on the requirements for the Tutorial article type at AMPPS.
Interested authors should use this form to submit a proposal for a tutorial in the special section. The editors will review these proposals and will encourage submission based on fit to the call for proposals, fit with AMPPS’s overall mission of reaching a broad audience, and on the need to avoid duplication of content in the section or with other AMPPS submissions. In cases where multiple teams submit proposals for the same topic, we will aim to ensure diversity among the pool of authors in the issue. We do not have a fixed limit on the number of manuscripts for the special section.
The deadline for the submission of proposals is February 11, 2019 and the deadline for completed manuscripts will be May 31, 2019.
Note that AMPPS encourages submission of unsolicited tutorial manuscripts of many sorts (see the submission guidelines). This call is for Tutorials specifically focused on the use of simulations for enhanced understanding and for pedagogy.
Special Section: Design and analysis of interventions
Advances in Methods and Practices in Psychological Science (AMPPS) is pleased to announce a call for manuscripts focused on the design and analysis of experimental intervention research.
Experimental interventions are important in both basic and applied psychological science, with designs ranging from straightforward experiments comparing differential improvements in an experimental and control group to complex longitudinal designs with many subgroups, covariates, and outcome measures. Despite the prevalence of such designs in psychological science, research practices vary widely, experts debate the allowable inferences from different analyses, and reporting practices are not standardized.
In keeping with AMPPS‘s mission of helping researchers improve their research and statistical practices, the journal will publish a collection of papers addressing the issues involved in designing, analyzing, and interpreting interventions. All papers must be accessible to our broad, non-expert readership and should be of interest to readers from multiple subfields of psychology. Although we encourage authors to use concrete, easily understood examples of interventions to illustrate their points, the focus should be on using examples to illustrate broader principles and not on the substance of the example itself. Appropriate topics include but are not limited to: documentation, preregistration, and reporting of intervention designs and plans; issues in handling attrition; advantages and disadvantages of intent-to-treat analysis strategies; flexibility in implementation and analysis; measurement issues specific to interventions; appropriate handling of covariates; benefits and drawbacks of multiple assessments or timepoints; appropriate and inappropriate causal inference; preregistration, privacy, and documentation in longitudinal interventions; distinguishing confirmatory and exploratory approaches; handling “correction” for multiple outcome measures; best practices for publishing and reporting; addressing placebo effects and choosing appropriate control groups, etc.
Interested authors should use this form to submit a proposal for a manuscript in the special section. The editors will review these proposals while blind to author name(s), and will encourage submission of manuscripts that best fit both this call for proposals and the broader mission of AMPPS.
The deadline for the submission of proposals is May 31, 2019, and the deadline for manuscripts will be August 15, 2019. Authors should consult the submission guidelines prior to submitting the proposal form to ensure that their proposed manuscript would be in keeping with the journal’s requirements.
If you have any questions about this call for proposals, please email Daniel Simons at firstname.lastname@example.org.