Bayesian hypothesis testing presents an attractive alternative to p value hypothesis testing. Part I of this series outlined several advantages of Bayesian hypothesis testing, including the ability to quantify evidence and the ability to monitor and update this evidence as data come in, without the need to know the intention with which the data were collected. Despite these and other practical advantages, Bayesian hypothesis tests are still reported relatively rarely. An important impediment to the widespread adoption of Bayesian tests is arguably the lack of user-friendly software for the run-of-the-mill statistical problems that confront psychologists for the analysis of almost every experiment: the t-test, ANOVA, correlation, regression, and contingency tables. In Part II of this series we introduce JASP (http://www.jasp-stats.org), an open-source, cross-platform, user-friendly graphical software package that allows users to carry out Bayesian hypothesis tests for standard statistical problems. JASP is based in part on the Bayesian analyses implemented in Morey and Rouder’s BayesFactor package for R. Armed with JASP, the practical advantages of Bayesian hypothesis testing are only a mouse click away.

Experienced Registered Reports editors and reviewers come together to discuss the format and best practices for handling submissions. The panelists also share insights into what editors are looking for from reviewers as well as practical guidelines for writing a Registered Report. ABOUT THE PANELISTS: Chris Chambers | Chris is a professor of cognitive neuroscience at Cardiff University, Chair of the Registered Reports Committee supported by the Center for Open Science, and one of the founders of Registered Reports. He has helped establish the Registered Reports format for over a dozen journals. Anastasia Kiyonaga | Anastasia is a cognitive neuroscientist who uses converging behavioral, brain stimulation, and neuroimaging methods to probe memory and attention processes. She is currently a postdoctoral researcher with Mark D'Esposito in the Helen Wills Neuroscience Institute at the University of California, Berkeley. Before coming to Berkeley, she received her Ph.D. with Tobias Egner in the Duke Center for Cognitive Neuroscience. She will be an Assistant Professor in the Department of Cognitive Science at UC San Diego starting January, 2020. Jason Scimeca | Jason is a cognitive neuroscientist at UC Berkeley. His research investigates the neural systems that support high-level cognitive processes such as executive function, working memory, and the flexible control of behavior. He completed his Ph.D. at Brown University with David Badre and is currently a postdoctoral researcher in Mark D'Esposito's Cognitive Neuroscience Lab. Moderated by David Mellor, Director of Policy Initiatives for the Center for Open Science.

Different types of new data may be created in the course of a project, for instance visualizations, plots, statistical outputs, a new dataset created by integrating multiple datasets, etc. Whenever possible, document your workflow (the process used to clean, analyze and visualize data) noting what data products are created at each step. Depending on the nature of the project, this might be as a computer script, or it may be notes in a text file documenting the process you used (i.e. process metadata). If workflows are preserved along with data products, they can be executed and enable the data product to be reproduced.

When describing the process for creating derived data products, the following information should be included in the data documentation or the companion metadata file.

When searching for data, whether locally on one’s machine or in external repositories, one may use a variety of search terms. In addition, data are often housed in databases or clearinghouses where a query is required in order access data. In order to reproduce the search results and obtain similar, if not the same results, it is necessary to document which terms and queries were used.

Follow the steps below to choose the most appropriate software to meet your needs:
Identify what you want to achieve (discover data, analyze data, write a paper, etc.)
Identify the necessary software features for your project (i.e. functional requirements)
Identify logistics features of the software that are required, such as licensing, cost, time constraints, user expertise, etc. (i.e. non-functional requirements)
Determine what software has been used by others with similar requirements
Ask around (yes, really); find out what people like
Find out what software your institution has licensed
Search the web (e.g. directory services, open source sites, forums)
Follow-up with independent assessment
Generate a list of software candidates
Evaluate the list; iterate back to Step 1 as needed
As feasible, try a few software candidates that seem promising

Data tables should ideally include values that were acquired in a consistent fashion. However, sometimes instruments fail and gaps appear in the records.

Data should not be entered with higher precision than they were collected in.

Understand the input geospatial data parameters, including scale, map projection, geographic datum, and resolution, when integrating data from multiple sources. Care should be taken to ensure that the geospatial parameters of the source datasets can be legitimately combined.

This article provides a brief discussion of the importance of teaching students to analyze data and representations of data as well as two resources that can help teachers implement these strategies into their instruction.

This course focuses on feedback control mechanisms that living organisms implement at the molecular level to execute their functions, with emphasis on techniques to design novel systems with prescribed behaviors. Students will learn how biological functions can be understood and designed using notions from feedback control.

This collection uses primary sources to explore the Black Power Movement. Digital Public Library of America Primary Source Sets are designed to help students develop their critical thinking skills and draw diverse material from libraries, archives, and museums across the United States. Each set includes an overview, ten to fifteen primary sources, links to related resources, and a teaching guide. These sets were created and reviewed by the teachers on the DPLA's Education Advisory Committee.

Student teams design their own booms (bridges) and engage in a friendly competition with other teams to test their designs. Each team strives to design a boom that is light, can hold a certain amount of weight, and is affordable to build. Teams are also assessed on how close their design estimations are to the final weight and cost of their boom "construction." This activity teaches students how to simplify the math behind the risk and estimation process that takes place at every engineering firm prior to the bidding phase when an engineering firm calculates how much money it will take to build the project and then "bids" against other competitors.

This collection uses primary sources to explore twentieth-century mining in the Mojave Desert. Digital Public Library of America Primary Source Sets are designed to help students develop their critical thinking skills and draw diverse material from libraries, archives, and museums across the United States. Each set includes an overview, ten to fifteen primary sources, links to related resources, and a teaching guide. These sets were created and reviewed by the teachers on the DPLA's Education Advisory Committee.

This collection uses primary sources to explore the Boston Tea Party. Digital Public Library of America Primary Source Sets are designed to help students develop their critical thinking skills and draw diverse material from libraries, archives, and museums across the United States. Each set includes an overview, ten to fifteen primary sources, links to related resources, and a teaching guide. These sets were created and reviewed by the teachers on the DPLA's Education Advisory Committee.

This collection uses primary sources to explore school desegregation in Boston. Digital Public Library of America Primary Source Sets are designed to help students develop their critical thinking skills and draw diverse material from libraries, archives, and museums across the United States. Each set includes an overview, ten to fifteen primary sources, links to related resources, and a teaching guide. These sets were created and reviewed by the teachers on the DPLA's Education Advisory Committee.

This resource is a video abstract of a research paper created by Research Square on behalf of its authors. It provides a synopsis that's easy to understand, and can be used to introduce the topics it covers to students, researchers, and the general public. The video's transcript is also provided in full, with a portion provided below for preview:

"Microbiomes are more than just prokaryotes and viruses; they also contain important eukaryotes, including fungi and protists. However, eukaryotes are difficult to study using ‘shotgun’ metagenomics, as their signal is often overwhelmed by the prokaryotes. Some methods use eukaryote-specific marker genes, but they can’t detect eukaryotes that aren’t in the reference marker gene set, and such methods are not compatible with web-based tools for downstream analysis. But CORRAL (Clustering Of Related Reference ALignments) is designed to close those gaps. CORRAL identifies eukaryotes in metagenomic data based on alignments to eukaryote-specific marker genes and Markov clustering. It can detect microbial eukaryotes that are not included in the marker gene reference set. The process is even automated and can be carried out at scale. A recent paper demonstrates CORRAL’s sensitivity and accuracy with simulated datasets, mock community standards, and human microbiome datasets..."

The rest of the transcript, along with a link to the research itself, is available on the resource itself.

CVPR 2012 tutorial
Graph Cut based Optimisation for Computer Vision

A two-day introduction to modern evidence-based teaching practices, built and maintained by the Carpentry community.

Students will analyze multiple sources to determine which of the causes of the Civil War each source best supports. Students will support their choices with evidence from the source and their own understanding of the causes of the Civil War.