| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 703 | 5 | 6 | 3 |
Statistics, Econometrics, Item response theory, Bayesian statistics and Sample size determination are the subjects of interest in Journal of Educational and Behavioral Statistics. The Statistics study tackled is a key component of adjacent topics in the area of Correlation. The journal holds forums on Econometrics that merges themes from other disciplines such as Mathematical model and Multilevel model.
Item response theory research presented in it encompasses a variety of subjects, including Goodness of fit, Computerized adaptive testing and Data mining. The journal focuses on Bayesian statistics research as part of the broader topic of Bayesian probability. Most of the works presented in the journal deals with Sample size determination but it intersects with the subject of Statistical power.
The in-depth study on Regression analysis also explores topics in the intersecting field of Linear regression.
The published papers mainly tackle studies in Statistics, Econometrics, Item response theory, Regression analysis and Multilevel model. The journal papers explore issues in Econometrics which can be linked to other research areas like Random effects model, Estimator, Type I and type II errors and Statistical power. The journal papers tackle studies in Gibbs sampling and the interrelated subject of Markov chain Monte Carlo to gain insights into Item response theory.
The journal facilitates discussions on Statistics, Item response theory, Validation methods, Test score and Econometrics. It tackles research in various disciplines, including Statistics and Observational error. Journal of Educational and Behavioral Statistics tackles studies in Bayesian probability and the interrelated subject of Monte Carlo method, Position (vector), Survey data collection and Markov process to gain insights into Item response theory.
Issues in Test score were discussed, taking into consideration concepts from other disciplines like Probability distribution, Group tests, Test bias, Educational inequality and Racial differences. While Econometrics is the key highlight in it, it also covered some subjects on Scale (social sciences) and Scope (project management), Data science and Research methodology. While it focused on Multilevel model, it was also able to explore topics like Covariance, Achievement test, Aggregate (data warehouse) and Nesting (computing).
A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.
The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.
The top authors publishing in Journal of Educational and Behavioral Statistics (based on the number of publications) are:
The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.
Only papers with recognized affiliations are considered
The top affiliations publishing in Journal of Educational and Behavioral Statistics (based on the number of publications) are:
The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.
The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.
The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.
During the most recent 2021 edition, 13.16% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 42.42% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.06% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 33.33% of all publications and 18.18% were from other institutions.
A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.
The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.
The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.
Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).
The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
Raiden B. Hasegawa;Sameer K. Deshpande;Dylan S. Small;Paul R. Rosenbaum
(2020)Roberto Colombi;Sabrina Giordano;Gerhard Tutz
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