| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Psychology | 122 | 107 | 142 | 31 |
The journal investigates studies in Statistics, Econometrics, Structural equation modeling, Sample size determination and Statistical hypothesis testing. Confidence interval, Statistical power, Regression analysis, Psychometrics and Type I and type II errors are some of the facets of Statistics tackled in Psychological Methods. Most of the works presented in Psychological Methods deals with Regression analysis but it intersects with the subject of Linear regression.
Psychometrics study tackled is connected to the field of Social psychology. While work presented in the journal provided substantial information on Econometrics, it also covered topics in Bayesian statistics, Item response theory, Bayesian probability, Latent variable model and Multilevel model. Bayesian probability studies presented include Bayes' theorem, Frequentist probability, Bayes factor and Prior probability.
The research on Structural equation modeling tackled can also make contributions to studies in the areas of Goodness of fit, Latent variable and Data mining. Studies on Sample size determination discussed in the journal link to the field of Monte Carlo method.
The journal articles mainly deal with areas of study such as Econometrics, Statistics, Structural equation modeling, Sample size determination and Statistical hypothesis testing. The published papers explore topics in Econometrics which can be helpful for research in disciplines like Latent variable, Regression analysis, Multilevel model and Statistical power. While work presented in the most cited articles provide substantial information on Statistics, it also covers topics in Correlation and Random effects model.
The journal primarily tackles PsycINFO, Statistics, Sample size determination, Econometrics and Structural equation modeling. The studies in PsycINFO featured incorporate elements of Cognitive psychology, Affect (psychology), Identification (information), Interpretation (philosophy) and Everyday life. Context (language use) and Interval (mathematics) are some topics wherein Statistics research discussed in the journal have an impact.
The concepts on Sample size determination presented in the journal can also apply to other research fields, including Statistical power, Mean squared error, Estimator, Statistic and Factor analysis. The journal held discussions to help close the divide between two different fields of study: Econometrics and Observational error. Structural equation modeling research featured in the journal incorporates concerns from various other topics such as Specification, Latent variable, Stability (learning theory), Range (statistics) and Categorical variable.
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 Psychological Methods (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 Psychological Methods (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, 50.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 34.48% were posted by at least one author from the top 10 institutions publishing in the journal. Another 13.79% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 13.79% of all publications and 37.93% 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.
For scholars who are engaged in studies in social psychology or psychology-related topics, there are diverse career opportunities in behavioral analysis that they can consider. Notably, one can become a Board Certified Behavior Analyst (BCBA). BCBAs can work in a variety of healthcare settings and use principles of learning theory to develop behavior intervention plans.
The journey to becoming a BCBA is both challenging and rewarding and requires a solid educational background, often at a master's or doctoral level, in psychology or education, and clinical experience. Furthermore, certification and licensure are key requirements in this career pathway.
For instance, if you are considering this career in Hawaii, certain specific steps need to be followed. You can read more about how to become a board certified behavior analyst in Hawaii.
It is important to understand that the study of psychological methods not only contributes to academic research but also opens doors to practical, impactful, and potentially rewarding careers such as becoming a BCBA.
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(2022)Daniel H. Baker;Greta Vilidaite;Freya A. Lygo;Anika K. Smith
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(2022)Daniel J Schad;Michael Betancourt;Shravan Vasishth
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(2020)Mijke Rhemtulla;Riet van Bork;Denny Borsboom
(2020)Lisa J. Jobst;Martina Bader;Morten Moshagen
(2021)Jonas M. B. Haslbeck;Oisín Ryan;Donald J. Robinaugh;Lourens J. Waldorp
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