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Advances in Methods and Practices in Psychological Science is a peer-reviewed journal published by SAGE, covering Mental Health Research Topics, Meta-analysis and systematic reviews, Behavioral Health and Interventions.
| Publisher | SAGE |
|---|---|
| Reference style | Author–year (Harvard) Author–year — (Smith, 2023) in the text Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', Advances in Methods and Practices in Psychological Science, 12(3), pp. 45–58.
Formats any DOI in Advances in Methods and Practices in Psychological Science style. No sign-up. |
| Publishes research in | Mental Health Research Topics Meta-analysis and systematic reviews Behavioral Health and Interventions Advanced Causal Inference Techniques Social and Intergroup Psychology |
| ISSN | 2515-2459 |
| Citation impact (2-yr) | 7.04 |
| h-index | 71 |
| i10-index | 201 |
| Total citations | 27,042 |
| Open access | Yes |
| Top institutions publishing here | University of Amsterdam |
| Journal website | us.sagepub.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Effect sizes are underappreciated and often misinterpreted—the most common mistakes being to describe them in ways that are uninformative (e.g., using arbitrary standards) or misleading (e.g., squaring effect-size rs). We propose that effect sizes can be usefully evaluated by comparing them with well-understood benchmarks or by considering them in terms of concrete consequences. In that…
Psychologists must be able to test both for the presence of an effect and for the absence of an effect. In addition to testing against zero, researchers can use the two one-sided tests (TOST) procedure to test for equivalence and reject the presence of a smallest effect size of interest (SESOI). The TOST procedure can…
Correlation does not imply causation; but often, observational data are the only option, even though the research question at hand involves causality. This article discusses causal inference based on observational data, introducing readers to graphical causal models that can provide a powerful tool for thinking more clearly about the interrelations between variables. Topics covered include…
We conducted preregistered replications of 28 classic and contemporary published findings, with protocols that were peer reviewed in advance, to examine variation in effect magnitudes across samples and settings. Each protocol was administered to approximately half of 125 samples that comprised 15,305 participants from 36 countries and territories. Using the conventional criterion of statistical significance…
Twenty-nine teams involving 61 analysts used the same data set to address the same research question: whether soccer referees are more likely to give red cards to dark-skin-toned players than to light-skin-toned players. Analytic approaches varied widely across the teams, and the estimated effect sizes ranged from 0.89 to 2.93 ( Mdn = 1.31) in…
