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Learning and Individual Differences

  • ISSN: 1041-6080

Editor-In-Chief: Greiff

Next planned ship date: May 2, 2024

  • 5 Year impact factor: 4.2
  • Impact factor: 3.6

Journal of Psychology and Education Learning and Individual Differences is a research journal devoted to publishing articles of individual differences as they relate t… Read more

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Next planned ship date:
May 2, 2024

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Journal of Psychology and Education

Learning and Individual Differences is a research journal devoted to publishing articles of individual differences as they relate to learning within an educational context. The Journal focuses on original empirical studies of high theoretical and methodological rigor that make a substantial scientific contribution and advance our knowledge on individual differences as they relate to cognitive and/or non-cognitive features across diverse learning contexts. The Journal receives submissions from different fields such as psychology, educational sciences, and the learning sciences and welcomes interdisciplinary research.

Learning and Individual Differences publishes original research. There are three types of original articles: Full length articles, brief reports, and multistudy reports. Full length articles should be no longer than 8000 words of primary text (not including abstract, educational relevance and implications statement, tables, figures, references, and other materials). Brief reports should be no longer than 4000 words of primary text (not including abstract, educational relevance and implications statement, tables, figures, references, and other materials). Multistudy reports should be no longer than 12000 words of primary text (not including abstract, educational relevance and implications statement, tables, figures, references, and other materials).

The core criteria for whether a manuscript is published are its scientific rigor and the new knowledge that it adds to the existing body of knowledge. To this end, we are particularly looking for manuscripts that report on longitudinal data analyses, include data on diverse (in the best case representative) or underrepresented populations, and combine several sources of information such as self-report and objective performance data. Inclusion of power calculations where appropriate is considered an advantage. Manuscripts that don't meet these criteria such as studies that are cross-sectional (in particular when they report mediation analyses), stem from highly specific samples, and include only self-reports need to make a strong case on why they advance our knowledge to a sufficient level for inclusion in the Journal and have a higher likelihood of not being considered for publication in Learning and Individual Differences.

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