| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Psychology | 572 | 38 | 36 | 12 |
The aim of Educational and Psychological Measurement is to expand the discussion of research in Statistics, Test validity, Psychometrics, Social psychology and Developmental psychology. Statistics research presented in the journal encompasses a variety of subjects, including Correlation and Econometrics. It holds forums on Econometrics that merges themes from other disciplines such as Regression analysis and Sample size determination.
Test validity research featured in it incorporates concerns from various other topics such as Construct validity, Scale (social sciences), Predictive validity and Mathematics education. Specifically, studies on Academic achievement are prevalent in the Mathematics education works discussed. Educational and Psychological Measurement focuses on Psychometrics but the discussions also offer insight into other areas such as Confirmatory factor analysis, Personality test, Aptitude and Sample (statistics).
The Social psychology works featured in it incorporate elements from Cognitive psychology, Applied psychology and Rating scale. Educational and Psychological Measurement connects research in Developmental psychology with the related topic of Intelligence quotient. The Test (assessment) research dealing mostly with Achievement test is the focus of the journal.
The published papers are mainly concerned with subjects like Psychometrics, Statistics, Test validity, Social psychology and Developmental psychology. The published papers address concerns in Psychometrics which are intertwined with other disciplines, such as Test (assessment), Confirmatory factor analysis, Personality test, Reliability (statistics) and Sample (statistics). Most of the works presented in the most cited articles deal with Statistics but they intersect with the subject of Econometrics.
Educational and Psychological Measurement primarily focuses on research topics in Statistics, Item response theory, Artificial intelligence, Machine learning and Reliability (statistics). It connects the study in Statistics with the closely related area of Index (economics). The subject of Cognitive psychology, which is connected to the field of Dual (category theory), serves as the foundation of the Item response theory research featured in Educational and Psychological Measurement.
The studies on Artificial intelligence discussed can also contribute to research in the domains of Differential item functioning, Polytomous Rasch model and Natural language processing. The concepts on Reliability (statistics) presented in the journal can also apply to other research fields, including Reliability engineering and Estimator. Some problems in Sample size determination that were presented in the journal overlapped with concepts under Goodness of fit, Skewness and Kurtosis.
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 Educational and Psychological Measurement (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 Educational and Psychological Measurement (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, 6.98% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 20.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 7.50% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 23.75% of all publications and 48.75% 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.
While the information presented in this text may seem heavily academic, it's important to remember that the discussed theories, research studies, findings, and methodologies often have practical applications too. Many professionals, such as educators, psychologists, and policy makers, use the content of this journal to inform their practice and make evidence-based decisions.
Furthermore, the research areas covered in the Educational and Psychological Measurement journal point to a variety of career paths a graduate could potentially take. Fields like Statistics, Psychometrics, Test Validity, Social Psychology, and Developmental Psychology offer diverse job opportunities, including roles like statistical consultant, educational or developmental psychologist, psychometrician, test development specialist, or research analyst.
One particularly interesting profession that converges many of these research areas is that of a forensic scientist. This role involves the application of science and technology to the detection and investigation of crime. Forensic scientists examine physical materials, such as hair, blood, and other bodily fluids to determine a factual basis for criminal proceedings. Many forensic scientists specialize in specific areas like DNA typing, ballistics, fingerprinting, or handwriting. For those interested, you can learn how to be a forensic scientist in Colorado on our website.
In conclusion, the knowledge generated and disseminated by the scholars contributing to the Educational and Psychological Measurement journal not only enriches our theoretical understanding but also has important real-world applications and implications for those aspiring to build a career in the allied fields.
Ulrich Schroeders;Christoph Schmidt;Timo Gnambs
(2021)Ashley A. Edwards;Keanan J. Joyner;Christopher Schatschneider
(2021)Nana Kim;Daniel M. Bolt
(2021)Noelle LaVoie;James Parker;Peter J Legree;Sharon Ardison
(2020)David Goretzko;Christian Heumann;Markus Bühner
(2020)Jinho Kim;Jinho Kim;Mark Wilson
(2020)Maxwell Mansolf;Annabel Vreeker;Steven P. Reise;Nelson B. Freimer
(2020)David Trafimow;Cong Wang;Tonghui Wang
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