[PDF] Small is beautiful: In defense of the small-N design | Semantic Scholar Skip to search formSkip to main content> Semantic Scholar's Logo Search Sign InCreate Free Account You are currently offline. Some features of the site may not work correctly. DOI:10.3758/s13423-018-1451-8 Corpus ID: 3999637Small is beautiful: In defense of the small-N design @article{Smith2018SmallIB, title={Small is beautiful: In defense of the small-N design}, author={P. L. Smith and Daniel R. Little}, journal={Psychonomic Bulletin & Review}, year={2018}, volume={25}, pages={2083 - 2101} } P. L. Smith, Daniel R. Little Published 2018 Psychology, Medicine Psychonomic Bulletin & Review The dominant paradigm for inference in psychology is a null-hypothesis significance testing one. Recently, the foundations of this paradigm have been shaken by several notable replication failures. One recommendation to remedy the replication crisis is to collect larger samples of participants. We argue that this recommendation misses a critical point, which is that increasing sample size will not remedy psychology’s lack of strong measurement, lack of strong theories and models, and lack of… Expand View on Springer link.springer.com Save to Library Create Alert Cite Launch Research Feed Share This Paper 129 CitationsHighly Influential Citations 5 Background Citations 48 Methods Citations 17 Results Citations 6 View All Figures and Topics from this paper figure 1 figure 2 figure 3 Large Inference Sample Variance 129 Citations Citation Type Citation Type All Types Cites Results Cites Methods Cites Background Has PDF Publication Type Author More Filters More Filters Filters Sort by Relevance Sort by Most Influenced Papers Sort by Citation Count Sort by Recency Hypothesis-Testing Demands Trustworthy Data—A Simulation Approach to Inferential Statistics Advocating the Research Program Strategy Antonia Krefeld-Schwalb, E. H. Witte, F. Zenker Psychology, Medicine Front. 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