| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Psychology | 357 | 93 | 103 | 18 |
The journal is organized to address concerns in the fields of Statistics, Econometrics, Social psychology, Structural equation modeling and Multivariate statistics. The journal focuses on Statistics as well as the interrelated topic of Correlation. It addresses concerns in Econometrics which are intertwined with other disciplines, such as Latent variable, Variance (accounting), Item response theory, Goodness of fit and Multilevel model.
The majority of Latent variable studies presented zero in on Latent variable model. The Latent variable model study which was featured in the journal aims to expound on the research in Latent class model. Personality is a major topic of Social psychology research.
The journal connects research in Personality with the related topic of Developmental psychology. The study on Structural equation modeling presented in Multivariate Behavioral Research intersects with the topics under Applied mathematics. The work on Multivariate statistics addressed in the journal expands to the thematically related Multivariate analysis.
The most cited articles focus largely on the fields of Statistics, Econometrics, Structural equation modeling, Sample size determination and Goodness of fit. The study on Statistics presented in the published papers is investigated in conjunction with research in Correlation. The works on Econometrics tackled in the journal publications bring together disciplines like Item response theory, Mathematical model, Multilevel model and Sample (statistics).
The foci of the journal are Statistics, Artificial intelligence, Bayesian probability, Machine learning and Econometrics. Statistics study tackled is connected to the field of Change score. The research on Artificial intelligence featured in it combines topics in other fields like Series (mathematics) and Pattern recognition.
It focuses on Machine learning but the discussions also offer insight into other areas such as Factor (programming language), Inference and Markov chain Monte Carlo. The study of Latent variable and how it intertwines with concepts under Mechanism (biology) were explored in the presented Econometrics research. The studies on Multivariate statistics discussed can also contribute to research in the domains of Statistical hypothesis testing and Time series.
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 Multivariate Behavioral Research (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 Multivariate Behavioral Research (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, 1.04% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 41.05% were posted by at least one author from the top 10 institutions publishing in the journal. Another 13.68% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 23.16% of all publications and 22.11% 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.
Along with the analytical depth of this discipline, Multivariate Behavioral Research unfolds a plethora of career opportunities to explore. One potential career option for individuals immersed in the depths of Multivariate Behavioral Research is Forensic Investigation. Professionals in this domain employ their statistical knowledge to decipher patterns and interpret data, which can prove instrumental in solving legal matters.
Specifically, becoming a forensic investigator involves a multifaceted training process that includes intricate understanding of behavioral patterns. These professionals must know how to effectively apply statistical principles, from latent variable model to item response theory, thus making a strong background in multivariate statistics a significant asset.
Detailed information about pursuing a career in Forensic Investigation can be accessed from numerous educational and career-centered platforms. If you are intrigued about steering your career in this direction within the state of Michigan, find out in detail how to become a forensic investigator in Michigan.
This is merely one of the many career pathways that can stem from a foundation in Multivariate Behavioral Research. The field uniquely integrates the realms of statistics, social psychology, and more, transpiring a diverse range of possibilities for future exploration and career growth.
Payton J. Jones;Ruofan Ma;Richard J. McNally
(2021)Herbert W. Marsh;Jiesi Guo;Theresa Dicke;Philip D. Parker
(2020)Michael N. Hallquist;Aidan G. C. Wright;Peter C. M. Molenaar
(2021)Riet van Bork;Mijke Rhemtulla;Lourens J. Waldorp;Joost Kruis
(2021)Jonas M B Haslbeck;Denny Borsboom;Lourens J Waldorp
(2021)Oscar Gonzalez;David P. MacKinnon;Felix B. Muniz
(2021)Hudson Golino;Robert Moulder;Dingjing Shi;Alexander P. Christensen
(2020)Miriam K Forbes;Aidan G C Wright;Kristian E Markon;Robert F Krueger
(2021)Marco Del Giudice
(2021)Connor J McCabe;Max A Halvorson;Kevin M King;Xiaolin Cao
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