Displaying results 1 - 9 of 9 (Go to Advanced Search)
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: The following contains the analytic code used to generate the findings reported in "Delay of Gratification and Adult Outcomes: The Marshmallow Test Does Not Reliably Predict Adult Functioning" in Child Development. We also report the means, standard deviations, and correlations among the key variables used in this analysis here.
Project
Description: We sought to understand the speech and language skills of children with nonsyndromic cleft palate with or without cleft lip (NSCP/L) by meta-analyzing results of the literature.
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.
Dataset
Part of Project: Speech and language skills in children with nonsyndromic cleft palate with or without cleft lip
Description: These data are from our third meta-analysis project. The speech-vocabulary analysis represented eight samples and the speech-mlu analysis represented four samples. The ages ranged from 18-months to 39-months.
Dataset
Part of Project: Speech and language skills in children with nonsyndromic cleft palate with or without cleft lip
Description: These data represent effect sizes comparing children with NSCP/L to non-cleft peers. There are 241 effect sizes from 31 studies. Children's ages ranged from 13-months to 104-months (8;7). The data are in long format as there were multiple effect sizes extracted per study.
Dataset
Part of Project: Speech and language skills in children with nonsyndromic cleft palate with or without cleft lip
Description: These data are descriptive codes for the studies included in the meta-analysis. There are 31 studies. Data are presented in wide format. There are 34 variables.
