Guidelines for Advances in Statistical Computing and Graphical Techniques

Analytics accepts manuscripts highlighting advances in statistical computing and graphic techniques that hold the potential to strengthen research in writing analytics. Of special interest are innovations associated with educational measurement, massive data analysis, digital learning ecologies, and ethical interpretation and use of information.

Manuscripts calling attention to innovations in computing and graphic techniques will identify new techniques, provide exposition of their potential to advance writing analytics, illustrate that potential with an application, and propose further investigation through principled analysis. Key to a successful manuscript is presentation of valuable information to other researchers in terms of the identification of new methods, their exposition, their application, and directions for further research.

Analytics publishes detailed advances in statistical computing and graphical techniques of up to 10,000 words (approximately 40 double spaced manuscript pages, including references).

In submitting manuscripts, it is important for authors to realize that the journal aim—to advance multidisciplinary research at the intersection of educational measurement, massive data analysis, digital learning ecologies, and ethical philosophy—is best achieved when manuscripts reporting advances in statistical computing and graphical t5echniques are attentive to these areas.

Formatting References

References should be formatted using APA style. For instructions on formatting references, see the Publication Manual of the American Psychological Association, 6th edition.

Formatting Text

Please adhere to the following guidelines for formatting article text.

  • Upload article submissions in the Microsoft Word document file format.
  • Provide URLs for the references where available.
  • Double space text and use a 12-point Times New Roman font.
  • Use italics instead of underlining (except for URL addresses).
  • Place figures and tables at the end of the document. Use the phrase "Insert Table (or Figure) X here." to indicate their placement in the document.
  • Follow the instructions in Ensuring Anonymous Review for submissions to a peer-reviewed section of the journal.

The following titles should be used for the main section headings, and the issues below should be addressed for the corresponding sections.

Structured Abstract

The structured abstract (between 500 and 750 words) is categorized by subheadings. The structured abstract should present a comprehensive overview of the advances in statistical computing and graphical techniques being presented in terms of identification of new methods, their exposition, their application, and directions for further research.

Identification of Innovation

The section positions the innovation under examination and explains its significance.

This section includes information on

  • The origin and development of the computing and graphic techniques under examination
  • The research capability of the innovation to advance writing analytics

Exposition of Innovation

The exposition identifies the research gap that the new technique will bridge. Special attention should be paid to the exposition of the identified gap and the ways the innovation will solve existing computational and graphic challenges. Of particular importance here are specifics on techniques and their capabilities.

Application of Innovation

The application section describes the usefulness of the innovation. Ideally, examples will be used with existing data sets so that readers will be able to quickly realize the force of the innovation. Methodology here is important so that other researchers may use the innovation on their own data.

Directions for Further Research

Authors should conclude the manuscript with directions for further research that the innovation yields. Special attention should be paid to the principles that will guide future research.

Reviewers' Expectations

See the Reviewer Guidelines for the review criteria used by reviewers of manuscript that address advances in statistical computing and graphical techniques.