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Dataset
Part of Project: Florida Twin Project on Reading, Behavior, and Environment
Description: This dataset contains results from the second wave of surveys sent to parents of twin pairs in 2014.
Dataset
Part of Project: Florida Twin Project on Reading, Behavior, and Environment
Description: This dataset contains results from the wave 2 survey completed by the twins who were 9 and older about themselves, administered in 2014. This contains measures related to the child's home and school environment, attitudes regarding books, home, school, and friends, and several behavioral surveys (PANAS, CADS, etc.).
Dataset
Part of Project: Florida Twin Project on Reading, Behavior, and Environment
Description: This dataset contains results from the wave 3 survey completed by the twins who were 9 and older about themselves, administered in 2016. This contains measures related to the child's home and school environment, attitudes regarding books, home, school, and friends, and several behavioral surveys (PANAS, CADS, etc.).
Dataset
Part of Project: Florida Twin Project on Reading, Behavior, and Environment
Description: This dataset contains measures from the second wave of data collection of the twins' achievement (collected in 2014). Data was collected via parent assessment using instructions sent in the mail.
Dataset
Part of Project: Florida Twin Project on Reading, Behavior, and Environment
Description: This dataset contains measures from the third wave of data collection of the twins' achievement (collected in 2016). Data was collected via parent assessment using instructions sent in the mail.
Dataset
Part of Project: Florida Twin Project on Reading, Behavior, and Environment
Description: This dataset contains information from the Florida Progress Monitoring and Reporting Network (PMRN) linked to the Florida Twin Project twins.
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.
