title: An Excel sheet for inferring children's number-knower levels from give-N data.
abstract: Number-knower levels are a series of stages of number concept development in early childhood. A child's number-knower level is typically assessed using the give-N task. Although the task procedure has been highly refined, the standard ways of analyzing give-N data remain somewhat crude. Lee and Sarnecka (Cogn Sci 34:51-67, 2010, in press) have developed a Bayesian model of children's performance on the give-N task that allows knower level to be inferred in a more principled way. However, this model requires considerable expertise and computational effort to implement and apply to data. Here, we present an approximation to the model's inference that can be computed with Microsoft Excel. We demonstrate the accuracy of the approximation and provide instructions for its use. This makes the powerful inferential capabilities of the Bayesian model accessible to developmental researchers interested in estimating knower levels from give-N data.
authors.affiliation: Department of Cognitive Sciences, University of California, Irvine, CA, USA. jnegen@uci.edu
authors.forename: James
authors.initials: J
authors.lastname: Negen
authors.forename: Barbara W
authors.initials: BW
authors.lastname: Sarnecka
authors.forename: Michael D
authors.initials: MD
authors.lastname: Lee
mesh_terms: D001499:Bayes Theorem; D002648:Child; D002657:Child Development; D002675:Child, Preschool; D003071:Cognition; D003210:Concept Formation; D006801:Humans; D008962:Models, Theoretical