Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

This study examined the predictive validity of formative assessments embedded in a Tier 2 intervention curriculum for kindergarten students identified as at risk for reading difficulty. We examined when (i.e., months during the school year) measures could predict reading outcomes gathered at the end of kindergarten and whether the predictive validity of measures changed across the kindergarten year. Participants consisted of 137 kindergarten students whose reading development was assessed four times from October to February. Measures aligned with content taught in the curriculum and assessed a range of phonologic, alphabetic, and word-reading skills. Results from structural equation modeling indicate that 36.3% to 65.2% of the variance was explained on the latent decoding outcome and 62.0% to 86.8% on the latent phonological outcome across the four time points. Furthermore, the predictive validity of specific skills increased over the kindergarten year, with more complicated tasks (e.g., word segmentation) becoming more predictive at subsequent measurement occasions. Results suggest that curriculum-embedded measures may be viable tools for assessing and predicting reading performance.

Download full-text PDF

Source
http://dx.doi.org/10.1177/0022219416664866DOI Listing

Publication Analysis

Top Keywords

predictive validity
16
curriculum-embedded measures
8
identified risk
8
risk reading
8
reading difficulty
8
kindergarten students
8
kindergarten year
8
predictive
5
measures
5
reading
5

Similar Publications

Background: Organizational virtuousness and just culture, which both foster justice, honesty, and trust, have a major impact on positive work environments in the healthcare industry. Strengthening nurses' emotional engagement and vocational commitment requires these components. With an emphasis on the mediating function of just culture, this study attempts to investigate the relationship between organizational virtuousness and nurses' vocational commitment.

View Article and Find Full Text PDF

Objective: This study aimed to identify key predictors of uterine fibroid (UF) recurrence following laparoscopic myomectomy (LM) in reproductive-age women and to construct a predictive nomogram to support individualized clinical decision-making.

Methods: This retrospective cohort study included 459 women who underwent LM. Recurrence of UFs and risk of recurrence were analyzed.

View Article and Find Full Text PDF

Background: Variants of uncertain significance (VUS) represent a major diagnostic challenge in the interpretation of genetic testing results, particularly in the context of inborn errors of immunity such as severe combined immunodeficiency (SCID). The inconsistency among computational prediction tools often necessitates expensive and time-consuming wet-lab analyses.

Objective: This study aimed to develop disease-specific, multi-class machine learning models using in silico scores to classify SCID-associated genetic variants and improve the interpretation of VUS.

View Article and Find Full Text PDF

The fruit fly Anastrepha fraterculus (Wiedemann) (Diptera: Tephritidae) is one of the main pests in apple orchards. Artificial neural networks (ANNs) are tools with good ability to predict phenomena such as the seasonal dynamics of pest populations. Thus, the objective of this work was to determine a prediction model for the seasonal dynamics of A.

View Article and Find Full Text PDF

Purpose: Accurate prediction of human clearance (CL) is essential in early drug development. Single Species Scaling (SSS) using rat pharmacokinetic (PK) data, particularly with unbound plasma fraction (f), is widely used. However, its accuracy declines for compounds with extremely low f, and no systematic method has addressed this limitation.

View Article and Find Full Text PDF