ASQ Improving Evidence Presentation: Resources and Tools

[The following post is re-blogged from the ASQ Blog. Click here to view the original article.]

This is a post that contains resources and tools to improve evidence presentation, echoing one of ASQ’s most important initiatives. The ASQ blog will keep updating the post and we welcome crowdsourcing and sharing of ideas from management scholars all around the world. Get in touch with asqblog@gmail.com to share your thoughts!

What is ASQ Improving Evidence Presentation initiative?(#ASQEvidencePresentation)

As you have seen in the “From the Editor” that Administrative Science Quarterly (ASQ) published in June 2017, the editors of ASQ strongly encourage that authors show the data in their manuscripts, by using graphical approaches to give an indication of the most important features of the data and their theoretical explanation before estimating models. Preferably this should be done as early as the introduction in order to spur the reader’s interest and give an indication of why the paper is valuable. Such use of graphical methods is rare in organizational theory and management research more generally, so we will gradually introduce methods of graphical analysis that can be used by researchers.

Graphical methods for showing the data are integrated into Stata, the most common software used by management researchers, and the Stata commands offer a good blend of simplicity and flexibility. Nevertheless, they need some training, especially because statistical training is model-focused in many schools, and highly variable in how well graphical methods are taught. New analytical tools like R and Python are also on the rise and increasingly used to visualize data, which requires, even more, training and knowledge sharing. Here we collaborate with the ASQ blog to home a resource center where tools and techniques to improve evidence presentation are crowdsourced and curated. The resource center will be updated, and editors of ASQ will contribute examples with data and do-files to demonstrate evidence presentation. We hope that the resource center will help improve the way you present evidence in your research.

—-Henrich Greve, the Editor of Administrative Science Quarterly

ASQ paper development workshop materials

2017 ASQ paper development workshop, AOM in Atlanta

Materials on importance of evidence presentation

An Economist’s Guide of Visualising Data, written by Jonathan A. Schwabish (2014) in Journal of Economic Perspectives, 28(1): 209–234

Editor’s examples

why indie books sell well, an evidence presentation example based on Greve & Song (2017), “Amazon Warrior: How a Platform Can Restructure Industry Power and Ecology.” Data and do-file are available.

Tools using Stata

  1. introduction to some important methods including scatterplots, lineplots, bar graphs, box plots, and kernel (full distribution) plots.
  2. example of more advanced programming, which is needed because stata does not (yet) have a simple way of showing a grouped bar graph with error bars, which is an important graph for taking a first look at group differences.
  3. introduction to spmap, an add-on procedure for producing mapped data displays. Displaying statistics on a map can be very helpful for any kind of research involving spatial relations, before the add-on such mapping required changing to different software and exporting data, which is both time consuming and a potential source of errors.
  4. introduction to the coefplot function, a graphical display of coefficient magnitudes. This is a very informative way of giving a comparative view of a full regression model, or parts of it, in a compact graph. This routine has a very flexible and intriguing set of plots as displayed on this link.
This entry was posted in Management, Research and Publishing, Research Design, Research Methods and tagged , , by Cynthia Nalevanko, Senior Editor, SAGE Publishing. Bookmark the permalink.

About Cynthia Nalevanko, Senior Editor, SAGE Publishing

Founded in 1965, SAGE is the world’s leading independent academic and professional publisher. Known for our commitment to quality and innovation, SAGE has helped inform and educate a global community of scholars, practitioners, researchers, and students across a broad range of subject areas. With over 1500 employees globally from principal offices in Los Angeles, London, New Delhi, Singapore, Washington DC, and Melburne, our publishing program includes more than 1000 journals and over 900 books, reference works and databases a year in business, humanities, social sciences, science, technology and medicine. Believing passionately that engaged scholarship lies at the heart of any healthy society and that education is intrinsically valuable, SAGE aims to be the world’s leading independent academic and professional publisher. This means playing a creative role in society by disseminating teaching and research on a global scale, the cornerstones of which are good, long-term relationships, a focus on our markets, and an ability to combine quality and innovation. Leading authors, editors and societies should feel that SAGE is their natural home: we believe in meeting the range of their needs, and in publishing the best of their work. We are a growing company, and our financial success comes from thinking creatively about our markets and actively responding to the needs of our customers.

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