A peer-reviewed, biannual publication publication sponsored by the American Educational Research Association's Special Interest Group (SIG), Multiple Linear Regression: The General Linear Model
Instructions for Authors
The General Linear Model Journal (GLMJ) (ISSN 2379-0091 print and ISSN 2379-0105 online) is a peer-reviewed, biannual publication (spring online-only version and fall print and online versions) sponsored by the American Educational Research Association’s Special Interest Group on Multiple Linear Regression/General Linear Model through Northern Illinois University. The GLMJ publishes manuscripts that address research in the areas of theory, application, and teaching of general linear models as well as developments, for instance, in predictive analytics, big data, data mining, multi-level modeling, or structural analyses.
Manuscripts submitted to GLMJ should conform to the language, style, and format of the Publication Manual of the American Psychological Association (7th ed., 2020). Further, manuscripts should be prepared in Word, be doubled-spaced, use 12 font, contain a 100-150 word abstract, have author(s) identifying information appear on the title page only, and consist of no more than 30 pages in length (including equations, footnotes, quotes, and references). Mathematical and Greek symbols should be clear and concise. Tables, figures, and diagrams must be photo copy ready for publication. All manuscripts should be submitted electronically to the editor.
Once received by the editor, manuscripts will be anonymously peer-reviewed by two editorial board members. The review process will take approximately 2 to 3 months. A letter acknowledging receipt of the manuscript will be sent to the first author, and upon review completion, a letter indicating the peer-review decision will be sent to the first author. Potential authors are encouraged to contact the editor to discuss ideas for contributions or determine if their manuscript is suitable for publication in GLMJ.
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