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Description
Methodology. European Journal of Research Methods for the Behavioral and Social Sciences
A platform for interdisciplinary exchange of methodological research and applications — Free of charge for authors and readers
Methodology is the official journal of the European Association of Methodology (EAM), a union of methodologists working in different areas of the social and behavioral sciences (e.g., psychology, sociology, economics, educational and political sciences). The journal provides a platform for interdisciplinary exchange of methodological research and applications in the different fields, including new methodological approaches, review articles, software information, and instructional papers that can be used in teaching. Three main disciplines are covered: data analysis, research methodology, and psychometrics. The articles published in the journal are not only accessible to methodologists but also to more applied researchers in the various disciplines.
Since 2020, Methodology is published as an open-access journal in cooperation with the PsychOpen GOLD portal of the Leibniz Institute for Psychology (ZPID). Both, access to published articles by readers as well as the submission, review, and publication of contributions for authors are free of charge!
Articles published before 2020 (Vol. 1-15) are accessible via the journal archive of Methodology's former publisher (Hogrefe). Methodology is the successor of the two journals Metodologia de las Ciencias del Comportamiento and Methods of Psychological Research-Online (MPR-Online).
Recent Articles
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A General Framework for Modeling Missing Data Due to Item Selection With Item Response TheoryPaul A. Jewsbury, Ru Lu, Peter W. van RijnSeptember 2024
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Modelling the Effect of Instructional Support on Logarithmic-Transformed Response Time: An Exploratory StudyLuis Alberto Pinos Ullauri, Wim Van Den Noortgate, Dries DebeerJune 2024
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Comparison of Lasso and Stepwise Regression in Psychological DataDi Jody Zhou, Rajpreet Chahal, Ian H. Gotlib, Siwei LiuJune 2024
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Which Robust Regression Technique Is Appropriate Under Violated Assumptions? A Simulation StudyJaejin Kim, Johnson Ching-Hong LiDecember 2023
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Scaling Metric Measurement Invariance ModelsEric Klopp, Stefan KlößnerSeptember 2023