Displaying results 1 - 10 of 10 (Go to Advanced Search)
Project
Description: Project KIDS aimed to rigorously combine data from several independent RCTs to explore individual differences in response to intervention, focused on cognitive, behavioral, contextual, and family history correlates of intervention response.
Project
Description: The Western Reserve Reading and Math Project (WRRMP) is a NIH funded longitudinal study on child development. The project has collected data annually for 15 years, with data on approximately 450 twin pairs collected during this time. The project has had several focal points throughout its history.
Dataset
Part of Project: Project KIDS
Description: These data are for each item on all achievement and behavioral assessments completed during the original intervention projects. The dataset is wide, with separate variable names for each wave of assessment. All participants (n= 4,038) are included. These data can be linked to the "total level" data using the PK_ID variable.
Dataset
Part of Project: Project KIDS
Description: This data set includes all total scores, demographics, home literacy environment, etc. for Project KIDS. Data are in wide format, with separate variables for each wave of assessments. All 4038 participants are represented in the data.
Dataset
Part of Project: Project KIDS
Description: These data include information on family demographics, home environment, health information, child diet and nutrition, BRIEF, SWAN, all at the item level. This is cross-sectional data. Data can be linked to other Project KIDS data through the PK_ID variable.
Dataset
Part of Project: Western Reserve Reading and Math Project
Description: This dataset contains all longitudinal data for the entirety of the WRRMP. This includes 10 waves worth of twin data, with extensive reading, math, behavioral, and environmental measures. Due to the twin nature of the data, data is presented as both long and wide, with each twin represented twice within the dataset.
Dataset
Part of Project: Support networks for instructional supervisors and special education teachers
Description: These data include demographic information on the participating coaches (n = 15) and their coaching context. These data are crosssectional and include specific ego-IDs that can be used to merge with Alter and Tie datasets.
Dataset
Part of Project: Support networks for instructional supervisors and special education teachers
Description: These data contain perceived demographic data on named alters (by Ego) and perceived support provision. These data can be combined with Ego level data to make a nested set using key ID variables.
Dataset
Part of Project: Support networks for instructional supervisors and special education teachers
Description: These data are ties between alters in the network. These data are needed to visualize the complete network using ego and alter data as well.
