Displaying results 1 - 6 of 6 (Go to Advanced Search)
Dataset
Part of Project: Colorado Twin Project
Description: This is the Colorado Twin Dataset in Long Format
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: Phonological processing skills and their longitudinal relation to first and additional language literacy in isiXhosa and isiZulu speaking children
Description: This OSF Project contains the summary statistics and correlations for the variables included in the study. The raw data is not shared. The link includes information from bilingual Xhosa-English and Zulu-English children from South Africa assessed in first grade, and twice in third grade.
Dataset
Part of Project: Math Achievement, Attitudes, and Anxiety
Description: Mathematics achievement, attitudes, and anxiety were longitudinally assessed for 342 (169 boys) adolescents from 7th to 9th grade, inclusive, and Latent Growth Curve Models were used to assess the relations among these traits and developmental change in them.
Dataset
Part of Project: Developing connections between word problems and mathematical equations to promote word-problem performance among students with mathematics difficulty
Description: The purpose of this study was to explore the paths by which word-problem intervention, with versus without embedded pre-algebraic reasoning instruction, improved word-problem performance. Students with mathematics difficulty (MD;n304) were randomly assigned to a business-as-usual condition or 1 of 2 variants of word-problem intervention.
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.
