Journal of Educational and Behavioral Statistics
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The Journal of Educational and Behavioral Statistics (JEBS) provides an outlet for papers that are original and present methods useful to those studying problems and issues in educational or behavioral research. Typical papers introduce new methods of analysis. Critical reviews of current practice, tutorial presentations of less well-known methods, and novel applications of already-known methods are also of interest.
JEBS also invites book and software reviews that contribute to the advancement of educational and behavioral statistics. Authors are encouraged to propose reviews, and the Editorial Board may also commission reviews on timely or emerging topics. Software reviews may be structured as critical evaluations or as tutorial-style papers that introduce and demonstrate the use of existing or new programs, such as R or Python packages. Tutorials should guide readers through step-by-step procedures, provide code, and include real data examples to enhance usability and comprehension.
Papers that discuss statistical techniques without specific educational or behavioral relevance, or that focus primarily on substantive results without contributing new statistical methods, models, or novel applications of existing methods, will have lower priority. Similarly, simulation studies designed solely to demonstrate properties of existing methods or to compare several established methods, without offering a new methodological contribution, are generally considered low priority.
Description
The Journal of Educational and Behavioral Statistics (JEBS) provides an outlet for papers that are original and present methods useful to those studying problems and issues in educational or behavioral research. Typical papers introduce new methods of analysis. Critical reviews of current practice, tutorial presentations of less well-known methods, and novel applications of already-known methods are also of interest.
JEBS also invites book and software reviews that contribute to the advancement of educational and behavioral statistics. Authors are encouraged to propose reviews, and the Editorial Board may also commission reviews on timely or emerging topics. Software reviews may be structured as critical evaluations or as tutorial-style papers that introduce and demonstrate the use of existing or new programs, such as R or Python packages. Tutorials should guide readers through step-by-step procedures, provide code, and include real data examples to enhance usability and comprehension.
Papers that discuss statistical techniques without specific educational or behavioral relevance, or that focus primarily on substantive results without contributing new statistical methods, models, or novel applications of existing methods, will have lower priority. Similarly, simulation studies designed solely to demonstrate properties of existing methods or to compare several established methods, without offering a new methodological contribution, are generally considered low priority.
Journal of Educational and Behavioral Statistics
Current Volume: 51 | Current Issue: 3 | ISSN: 10769986 | ESSN: 19351054 | Frequency: Bi Monthly | Submission Guidelines | Get Email Alerts
| Subscription Type | Format | Price |
|---|---|---|
| Individual rates | Individual, Single Print Issue | $23.00 |
| Individual rates | Individual Subscription, Combined (Print & E-access) | $107.00 |
The Journal of Educational and Behavioral Statistics (JEBS) provides an outlet for papers that are original and present methods useful to those studying problems and issues in educational or behavioral research. Typical papers introduce new methods of analysis. Critical reviews of current practice, tutorial presentations of less well-known methods, and novel applications of already-known methods are also of interest.
JEBS also invites book and software reviews that contribute to the advancement of educational and behavioral statistics. Authors are encouraged to propose reviews, and the Editorial Board may also commission reviews on timely or emerging topics. Software reviews may be structured as critical evaluations or as tutorial-style papers that introduce and demonstrate the use of existing or new programs, such as R or Python packages. Tutorials should guide readers through step-by-step procedures, provide code, and include real data examples to enhance usability and comprehension.
Papers that discuss statistical techniques without specific educational or behavioral relevance, or that focus primarily on substantive results without contributing new statistical methods, models, or novel applications of existing methods, will have lower priority. Similarly, simulation studies designed solely to demonstrate properties of existing methods or to compare several established methods, without offering a new methodological contribution, are generally considered low priority.