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Methodology
H-index 7

Methodology

1614-1881

Published by: Hogrefe Publishing

https://www.hogrefe.com/us/journal/methodology

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Psychology 1048 14 17 5

Additional Metrics

Number of Best Scientists*: 24
Documents by Best Scientists*: 28
Top 100 Ranked Scientists*: 2
SCIMAGO H-index: 40
SCIMAGO SJR: 0.722
Impact Factor: 1.7

Overview

Top Research Topics at Methodology: European Journal of Research Methods for The Behavioral and Social Sciences?

The journal mainly deals with areas of study such as Statistics, Econometrics, Structural equation modeling, Sample size determination and Latent class model. The journal aims to form a more comprehensive understanding of the field by integrating disciplines like Statistics and Estimation. Econometrics research presented in it encompasses a variety of subjects, including Latent variable model, Regression analysis, Multilevel model and Type I and type II errors.

The studies tackled, which mainly focus on Regression analysis, apply to Standard error as well. Topics in Multilevel model explored in it were investigated in conjunction with research in Test validity, Cognitive psychology and Residual. The journal explores topics in Type I and type II errors which can be helpful for research in disciplines like Normality and Covariance.

While Structural equation modeling is the focus of it, it also provided insights into the studies of Big Five personality traits, Contrast (statistics) and Linear regression, Multicollinearity. In addition to Sample size determination research, Methodology: European Journal of Research Methods for The Behavioral and Social Sciences aims to explore topics under Mean squared error, Normality test, D'Agostino's K-squared test and Path coefficient. Latent class model research presented in the journal encompasses a variety of subjects, including Mixture model, Item response theory and Categorical variable.

  • Statistics (53.98%)
  • Econometrics (34.51%)
  • Structural equation modeling (15.93%)

What are the most cited papers published in the journal?

  • Sufficient Sample Sizes for Multilevel Modeling (2099 citations)
  • Tucker's congruence coefficient as a meaningful index of factor similarity. (637 citations)
  • Is It Really Robust (609 citations)

Research areas of the most cited articles at Methodology: European Journal of Research Methods for The Behavioral and Social Sciences:

The published articles primarily focus on research topics in Statistics, Econometrics, Sample size determination, Type I and type II errors and Principal component analysis. The journal papers with studies in Econometrics featured incorporate elements of Structural equation modeling, Regression analysis, Mean difference and Measurement invariance. The works on Regression analysis tackled in the journal articles bring together disciplines like Sample (statistics) and Standard error.

Papers citation over time

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 Methodology: European Journal of Research Methods for The Behavioral and Social Sciences (based on the number of publications) are:

  • Jeroen K. Vermunt (12 papers) absent at the last edition,
  • Hennie Boeije (4 papers) absent at the last edition,
  • Gordon Willis (3 papers) absent at the last edition,
  • Michael Eid (3 papers) absent at the last edition,
  • Klaas Sijtsma (3 papers) absent at the last edition.

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 Methodology: European Journal of Research Methods for The Behavioral and Social Sciences (based on the number of publications) are:

  • Tilburg University (15 papers) absent at the last edition,
  • Utrecht University (12 papers) absent at the last edition,
  • Ghent University (4 papers) absent at the last edition,
  • Goethe University Frankfurt (4 papers) absent at the last edition,
  • University of the Basque Country (3 papers) absent at the last edition.

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.

Publication chance based on affiliation

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, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 0.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 0.00% of all publications and 100.00% were from other institutions.

Returning Authors Index

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.

Returning Institution Index

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.

The experience to innovation index

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:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Implementing Research Methods in Practical Fields

There are several applicable fields where the research methods discussed in the journal can be implemented. Practical applications of research methods can derive resourceful insights and it gives a theoretical framework a practical shape. One such area where these research methods are beneficial is the field of School Psychology. Practicing as a school psychologist, one can effectively apply the principles of Statistics, Econometrics, and other mentioned methodologies to better understand the students' behavior and further assist in developing effective teaching strategies.

As a school psychologist, Regression Analysis, a form of econometrics research, becomes a powerful tool to predict student behaviors and performances by analyzing the past data, thereby helping to craft a suitable teaching method. Similarly, Structural Equation Modeling is an amalgamation of factor analysis and multiple regression analysis, which can provide great insights by exploring the structural relationships among measured variables and latent constructs. This form of research can prove very helpful in understanding the complex behavior among students and formulating effective educational strategies.

For anyone interested in practically implementing these research methodologies in the field of School Psychology, knowing how to become a school psychologist in Illinois could provide a start. This comprehensive guide provides a detailed step-by-step approach, starting from securing a bachelor’s degree to acquiring state licensure, that prospective school psychologists will find extremely beneficial. The focus is to merge the theoretical knowledge with practical application, creating a robust approach to School Psychology.

The use of these sophisticated research methods not only increases the standards of current school psychologists but also aids prospective psychologists to envision their future in this field. The ability to effectively integrate these research methods in this field offers a promising future for aspiring school psychologists and creates an exemplary success model for others to follow.

Top Publications

  • Visual Representations of Meta-Analyses of Multiple Outcomes: Extensions to Forest Plots, Funnel Plots, and Caterpillar Plots

    Belén Fernández-Castilla;Lies Declercq;Laleh Jamshidi;Susan Natasha Beretvas

    (2020)
    59 Citations
  • GIMME’s Ability to Recover Group-Level Path Coefficients and Individual-Level Path Coefficients

    Steffen Nestler;Sarah Humberg

    (2021)
    14 Citations
  • Parametric and semi-parametric bootstrap-based confidence intervals for robust linear mixed models

    (2021)
    8 Citations
  • Comparison of lasso and stepwise regression in psychological data

    (2024)
    5 Citations
  • The A Priori Procedure (APP) for estimating regression coefficients in linear models

    (2022)
    5 Citations
  • The A Priori Procedure for estimating the mean in both log-normal and gamma populations and robustness for assumption violations

    (2022)
    4 Citations
  • Bayesian tests of two proportions: A tutorial with R and JASP

    (2022)
    3 Citations
  • Quantile Regression-Based Multiple Imputation of Missing Values — An Evaluation and Application to Corporal Punishment Data

    Kristian Kleinke;Markus Fritsch;Mark Stemmler;Jost Reinecke

    (2021)
    3 Citations
  • Integrating informative hypotheses into the EffectLiteR framework

    (2021)
    3 Citations
  • The Inaccuracy of Sample-Based Confidence Intervals to Estimate A Priori Ones

    David Trafimow;Joshua Uhalt

    (2020)
    2 Citations

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Best Scientists Contributing to This Journal