Initial validation of a measure of decoding difficulty as a unique predictor of miscues and passage reading fluency.

ABSTRACT: Quantifying the decoding difficulty (i.e., 'decodability') of text is important for accurately matching young readers to appropriate text and scaffolding reading development. Since no easily accessible, quantitative, word-level metric of decodability exists, we developed a decoding measure (DM) that can be calculated via a web-based scoring application that takes into account sub-lexical components (e.g. orthographic complexity), thus measuring decodability at the grapheme-phoneme level, which can be used to judge decodability of individual words or passages. Here we report three experiments using the DM: two predicting children's word-level errors and one predicting passage reading fluency. Generalized linear mixed effect models showed that metrics from the DM explained unique variance in

SUBMITTER: Saha NM 

PROVIDER: S-EPMC8011635 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature