The ReadFree tool for the identification of poor readers: a validation study based on a machine learning approach in monolingual and minority-language children.

ABSTRACT: In this study, we validated the "ReadFree tool", a computerised battery of 12 visual and auditory tasks developed to identify poor readers also in minority-language children (MLC). We tested the task-specific discriminant power on 142 Italian-monolingual participants (8-13 years old) divided into monolingual poor readers (N = 37) and good readers (N = 105) according to standardised Italian reading tests. The performances at the discriminant tasks of the "ReadFree tool" were entered into a classification and regression tree (CART) model to identify monolingual poor and good readers. The set of classification rules extracted from the CART model were applied to the MLC's performance and the ensuing classification was compared to the one based on standardised Italian reading tests. According t

SUBMITTER: Carioti D 

PROVIDER: S-EPMC10522748 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature