Latent Markov Models to Test the Strategy Use of 3-Year-Olds in a Rule-Based Feedback-Learning Task

L. Lichtenberg, I. Visser, M. E.J. Raijmakers*

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

This study is the first to investigate how 3-year-olds learn simple rules from feedback using the Toddler Card Sorting Task (TCST). To account for intra- and inter- individual differences in the learning process, latent Markov models were fitted to the time series of accuracy responses using maximum likelihood techniques (Visser et al., 2002). In a first, exploratory study (N = 110, 3- to 5-years olds) a considerable group of 3-year olds applied a hypothesis testing learning strategy. A second study confirmed these results with a preregistered study (3-years olds, N = 60). Under supportive learning conditions, a majority of 3-year- olds was capable of hypothesis testing. Furthermore, older children and those with bigger working memory capacities were more likely to use hypothesis testing, even though the latter group perseverated more than younger children or those with smaller working memory capacities. 3-year-olds are more advanced feedback-learners than assumed.

Original languageEnglish
Pages (from-to)1123-1136
Number of pages14
JournalMultivariate Behavioral Research
Volume59
Issue number6
Early online date10 Feb 2023
DOIs
Publication statusPublished - 2024

Bibliographical note

Publisher Copyright:
© 2023 The Author(s). Published with license by Taylor & Francis Group, LLC.

Keywords

  • 3-year-olds
  • Feedback-learning
  • hypothesis testing
  • latent Markov modeling
  • rule learning
  • working memory

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