How to find what's in a name: Scrutinizing the optimality of five scoring algorithms for the name‐letter task

  title={How to find what's in a name: Scrutinizing the optimality of five scoring algorithms for the name‐letter task},
  author={Etienne P LeBel and Bertram Gawronski},
  journal={European Journal of Personality},
  pages={85 - 106}
Although the name‐letter task (NLT) has become an increasingly popular technique to measure implicit self‐esteem (ISE), researchers have relied on different algorithms to compute NLT scores and the psychometric properties of these differently computed scores have never been thoroughly investigated. Based on 18 independent samples, including 2690 participants, the current research examined the optimality of five scoring algorithms based on the following criteria: reliability; variability in… 

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