Heterogeneity and Publication Bias in Research on Test-Potentiated New Learning

نویسندگان

چکیده

Prior retrieval practice potentiates new learning. A recent meta-analysis of this test-potentiated learning (TPNL) effect by Chan, Meissner, and Davis (2018) concluded that it is a robust reliable finding (Hedges’ g = 0.44). Although Chan et al. discussed three different experimental designs have been employed to study TPNL, we argue their failed adequately distinguish the findings from these designs, acknowledge significance substantial between-study heterogeneity across all pooled effects, assess degree publication bias in sample. We conducted assessed separately applied appropriate corrections for bias. found studies using standard design yield weak evidence TPNL effect, pre-testing small but interleaving negative effect. Compared al.’s conclusions, reanalyses cast very light point pressing need preregistered experiments its reproducibility absence

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ژورنال

عنوان ژورنال: Collabra

سال: 2022

ISSN: ['2474-7394']

DOI: https://doi.org/10.1525/collabra.31996