Displaying results 1 - 7 of 7 (Go to Advanced Search)
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: 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.
Dataset
Part of Project: Support networks for instructional coaches 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 coaches 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 coaches 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.
