Journal of Educational and Behavioral Statistics
Published by SAGE
ISSN : 1076-9986 eISSN : 1935-1054
Abbreviation : J. Educ. Behav. Stat.
Aims & Scope
Journal of Educational and Behavioral Statistics, sponsored jointly by the American Educational Research Association and the American Statistical Association, publishes articles that are original and provide methods that are 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.
Papers discussing statistical techniques without specific educational or behavioral interest or focusing on substantive results without developing new statistical methods or models or making novel use of existing methods have lower priority.
Simulation studies, either to demonstrate properties of an existing method or to compare several existing methods (without providing a new method), also have low priority.
The Journal of Educational and Behavioral Statistics provides an outlet for papers that are original and provide methods that are useful to those studying problems and issues in educational or behavioral research.
Typical papers introduce new methods of analysis, provide properties of these methods, and an example of use in education or behavioral research.
Critical reviews of current practice, tutorial presentations of less well known methods, and novel applications of already-known methods are also sometimes accepted.
Papers discussing statistical techniques without specific educational or behavioral interest or focusing on substantive results without developing new statistical methods or models or making novel use of existing methods have lower priority.
Simulation studies, either to demonstrate properties of an existing method or to compare several existing methods (without providing a new method), also have low priority.
View Aims & ScopeMetrics & Ranking
Impact Factor
| Year | Value |
|---|---|
| 2025 | 1.7 |
| 2024 | 1.90 |
Journal Rank
| Year | Value |
|---|---|
| 2024 | 3288 |
Journal Citation Indicator
| Year | Value |
|---|---|
| 2024 | 221 |
SJR (SCImago Journal Rank)
| Year | Value |
|---|---|
| 2024 | 1.253 |
Quartile
| Year | Value |
|---|---|
| 2024 | Q1 |
h-index
| Year | Value |
|---|---|
| 2024 | 76 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Social Sciences, designed to support cutting-edge academic discovery.
Most Cited Articles
The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.
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Computational Tools for Probing Interactions in Multiple Linear Regression, Multilevel Modeling, and Latent Curve Analysis
Citation: 3884
Authors: Kristopher J., Patrick J., Daniel J.
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On the Adaptive Control of the False Discovery Rate in Multiple Testing With Independent Statistics
Citation: 1214
Authors: Yoav, Yosef
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Bias and Efficiency of Meta-Analytic Variance Estimators in the Random-Effects Model
Citation: 1212
Authors: Wolfgang
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Using SAS PROC MIXED to Fit Multilevel Models, Hierarchical Models, and Individual Growth Models
Citation: 1130
Authors: Judith D.
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Using SAS PROC MIXED to Fit Multilevel Models, Hierarchical Models, and Individual Growth Models
Citation: 870
Authors: Judith D.
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Quick and Easy Implementation of the Benjamini-Hochberg Procedure for Controlling the False Positive Rate in Multiple Comparisons
Citation: 749
Authors: David, Lynne, Daniel
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On the Adaptive Control of the False Discovery Rate in Multiple Testing with Independent Statistics
Citation: 422
Authors: Yoav, Yosef