HIGHLIGHTS
- who: Martin Schu00f6fl from the at School Entry Department of Educational Sciences, University of Education Upper Austria, Linz, Austria, Research Institute have published the Article: Predicting Word Reading Deficits Using an App-Based Screening Tool at School Entry, in the Journal: (JOURNAL)
- what: The analysis of a broad battery of subtests aiming to predict word reading deficiencies at the end of first grade resulted in two models: a short one consisting of two subtests (AUC=0.77) and a broader one with five subtests (AUC=0.78). As in the present study, factors specific to . . .
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