Displaying results 1 - 9 of 9 (Go to Advanced Search)
Project
Description: This study is a meta-scientific systematic review of published research literature in the content area of reading in order to estimate the prevalence of participation in key open science practices amongst authors publishing on this topic. This study is a conceptual replication and extension of previous studies by Cook et al.
Project
Description: The analysis of narratives often accompanies comprehensive language assessments of students. While analyzing narratives can be time-consuming and labor-intensive, recent advances in large language models (LLMs) indicate that it may be possible to automate this process.
Project
Description: This study examined longitudinal outcomes of late-talking toddlers. Specifically, we included toddlers who participated in the Vocabulary Acquisition and Usage for Late Talkers (VAULT) treatment protocol.
Dataset
Part of Project: Automated Narrative Scoring Using Large Language Models
Description: Narrative language samples elicited using the ALPS Oral Narrative Retell and Oral Narrative Generation tasks from diverse K-3 students. The test data set was drawn randomly from the larger corpus of narrative language samples.
Dataset
Part of Project: Automated Narrative Scoring Using Large Language Models
Description: Narrative language samples elicited using the ALPS Oral Narrative Retell and Oral Narrative Generation tasks from diverse K-3 students. The training data set was drawn randomly from the larger corpus of narrative language samples.
Dataset
Part of Project: Automated Narrative Scoring Using Large Language Models
Description: Narrative language samples elicited using the ALPS Oral Narrative Retell and Oral Narrative Generation tasks from diverse K-3 students. The tworaters data set was drawn randomly from the larger corpus of narrative language samples. These samples were scored by two raters for reliability purposes.
Document
Part of Project: A Longitudinal Assessment of Late Talking Toddlers
Description: This codebook contains the information needed to understand the variable naming conventions and structure for the VAULT dataset from the larger Longitudinal Assessment of Late Talking Toddlers project. Information is available for all timepoints.
Document Type: Codebook
Document
Part of Project: A Longitudinal Assessment of Late Talking Toddlers
Description: This document serves as an adjunct for understanding the nature of the VAULT data and its accompanying codebook. Specific information and citations are provided for the individual measures used. Additionally, the timeline/protocol used within the project is detailed in this document.
Document Type: Other
Document
Part of Project: A Longitudinal Assessment of Late Talking Toddlers
Description: This file contains information on how to calculate the used D-scores from the raw data provided. Additionally, the contained dataset is in long-format, which may cause difficulties for performing certain operations/analyses on the data.
Document Type: Other
