| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Psychology | 545 | 34 | 56 | 13 |
The aim of Psychometrika is to expand the discussion of research in Statistics, Psychometrics, Econometrics, Applied mathematics and Test (assessment). The work tackled in it goes beyond the discipline of Statistics as it also encompasses Correlation. It holds forums on Econometrics that merges themes from other disciplines such as Latent variable model, Latent class model, Latent variable and Statistical model.
Studies on Applied mathematics discussed in the journal link to the field of Mathematical optimization. The study on Item response theory presented is investigated in conjunction with research in Rasch model.
The published articles primarily focus on research topics in Statistics, Econometrics, Psychometrics, Applied mathematics and Item response theory. In addition to Psychometrics research, the most cited publications aim to explore topics under Test (assessment) and Correlation. The journal articles investigate Applied mathematics in the context of the closely related subject of areas like
The journal generally zeroes in on subjects such as Psychometrics, Item response theory, Statistics, Artificial intelligence and Latent variable. The studies in Psychometrics featured incorporate elements of Test (assessment), Equating, Cognitive psychology and Information system. In the journal, Sample size determination, Estimator, Standard error, Clinical psychology and Algorithm are investigated in conjunction with one another to address concerns in Item response theory research.
The studies on Statistics discussed can also contribute to research in the domains of Simple (abstract algebra) and Random effects model. The presented research on Artificial intelligence deals specifically with Machine learning but it also addresses topics in Expectation–maximization algorithm, Centrality and Direct effects. While work presented in it provided substantial information on Latent variable, it also covered topics in Brain activation, Expected value, Residual and Applied mathematics.
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 Psychometrika (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 Psychometrika (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, 2.90% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 28.36% were posted by at least one author from the top 10 institutions publishing in the journal. Another 14.93% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 20.90% of all publications and 35.82% 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.
The research topics addressed at Psychometrika have significant implications and applications outside of academia. From applied mathematics to artificial intelligence, these research outputs are not confined to theoretical exploration or academic debates. They find their expressions and usefulness in practical domains, including forensic science. For instance, one of the offshoots of Psychometrics, especially the concept of Item Response Theory, has seen extensive use in forensic science. The quantitative measurements derived from psychometrics can aid in data interpretation in forensic science. Forensic science, a scientific method applied to solving crimes, relies heavily on statistical analysis, among which psychometrics finds a special place. Kentucky is notable for employing such methods to solve criminal cases. If you are interested in this intersection between psychometrics and forensic science, you might consider pursuing a forensic science degree in Kentucky. On the same premise, Artificial intelligence, another key focus area in Psychometrika, provides new ways to understand and interpret data. It advances the work of sectors from healthcare to security to space exploration. By plugging into these practical fields, the contributions of Psychometrika continue to push the envelope, marking the frontier where theoretical understanding meets practical application. The investigational studies published in Psychometrika also help in shaping public policies, especially those related to education and healthcare. Econometrics research purposed in rendering strategic decisions in economics assist public institutions to outline and execute development policies. Indeed, the robust academic insights gained from Psychometrika, find numerous outlets beyond research journals, in various practical fields, from forensic science to public policy.
Klaas Sijtsma;Julius M. Pfadt
(2021)Teague R. Henry;Teague R. Henry;Donald J. Robinaugh;Eiko I. Fried
(2021)Sacha Epskamp;Adela-Maria Isvoranu;Mike W.-L. Cheung
(2021)Rosember Guerra-Urzola;Katrijn Van Deun;Juan C. Vera;Klaas Sijtsma
(2021)Ting Wang;Benjamin Graves;Yves Rosseel;Edgar C. Merkle
(2020)Steven P. Reise;Han Du;Emily F. Wong;Anne S. Hubbard
(2021)Steffen Nestler;Oliver Lüdtke;Alexander Robitzsch
(2020)Ron D Hays;Karen L Spritzer;Steven P Reise
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