Displaying results 1 - 12 of 12 (Go to Advanced Search)
Project
Description: This longitudinal research study explores the perceived and physiological stress, stressors, and work characteristics of childhood educators in the Midwest across the academic year 2021-2022 (during COVID-19). Data collection occurred over four time points.
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.
Dataset
Part of Project: Headsprout Data Analytics
Description: Data from the Headsprout data analytics project. This dataset includes student progress monitoring data (DIBELS, TOWRE, CELF), data analytics from their engagement in Headsprout, and information about their home literacy environment (UFLI Home Literacy survey.
Dataset
Part of Project: Early Childhood Educators' Work and Stress
Description: These data are from time point 1 of the study and are in wide format.
Dataset
Part of Project: Early Childhood Educators' Work and Stress
Description: These longitudinal data contain information about hair cortisol in the participants across the first two time points of the study. Data are in wide format.
Dataset
Part of Project: Early Childhood Educators' Work and Stress
Description: These data are from time point 2 of the project. The data are in wide format. Data contain constructs of work characteristics, income, housing, economic hardship, food insecurity, personal stress, personal self-efficacy, depression, anxiety, and hair cortisol confounders.
Dataset
Part of Project: Early Childhood Educators' Work and Stress
Description: These data are for time point 3 of the study. Data are in wide format.
Dataset
Part of Project: Early Childhood Educators' Work and Stress
Description: These data are for time point 4 of the study. Data are in wide format.
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: Early Childhood Educators' Work and Stress
Description: This is the codebook accompanying all datasets for this project. It includes the data dictionary, information on item-level variables, citations of assessments, and total scores for variables.
Document Type: Codebook
