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Author: Dirmyer, Richard
Resulting in 2 citations.
1. Dirmyer, Richard
Schley, Sara
Dummy Variables and the Relationship of Deaf and Hearing Growth Using SAS/GRAPH®
Presented: Pittsburgh, PA , Northeast SAS Users Group Conference, September 2008.
Also: http://www.nesug.org/proceedings/nesug08/sa/sa08.pdf
Cohort(s): Children of the NLSY79
Publisher: SAS Institute Inc.
Keyword(s): Child Health; Children, Academic Development; Disability; Modeling, Growth Curve/Latent Trajectory Analysis

Permission to reprint the abstract has not been received from the publisher.

Historically, deaf education in the United States has achieved poor results. An oft-quoted statistic is that on average, deaf students graduating from high school (at age 18-21) perform at the level of hearing 8-10 year olds in terms of reading and writing skills (Allen, 1994; Traxler, 2000). In this research, deaf children and their hearing siblings from a longitudinal database are tracked during their elementary and secondary school years. This presentation will focus on graphic displays of the longitudinal data, focusing on presenting individual data points and sub-group regression lines on a single graph (here, one regression line for the deaf sample, and one for the hearing siblings), tracking their school progress from K-12. These displays inform statistical data analysis. Detailed examples of code will be shared, as well as insights into the value of combining graphic displays with data analysis.
Bibliography Citation
Dirmyer, Richard and Sara Schley. "Dummy Variables and the Relationship of Deaf and Hearing Growth Using SAS/GRAPH®." Presented: Pittsburgh, PA , Northeast SAS Users Group Conference, September 2008.
2. Martino, Paul
Schley, Sara
Dirmyer, Richard
Graphing Longitudinal Data: Deaf Children in the "Children of the National Longitudinal Survey of Youth"
Presented: Orlando, FL, Paper 091-2007, SAS Global Forum, April 16-19, 2007.
Also: http://www2.sas.com/proceedings/forum2007/091-2007.pdf
Cohort(s): Children of the NLSY79
Publisher: SAS Institute Inc.
Keyword(s): Child Health; Children, Academic Development; Children, Illness; Disability; Home Observation for Measurement of Environment (HOME); Modeling, Growth Curve/Latent Trajectory Analysis; Modeling, Multilevel; Peabody Individual Achievement Test (PIAT- Math)

Permission to reprint the abstract has not been received from the publisher.

Historically, deaf education in the United States has achieved poor results. An oft-quoted statistic is that on average, deaf students graduating from high school (at age 18-21) perform at the level of hearing 8-10 year olds in terms of reading and writing skills (Allen, 1994; Traxler, 2000). Performing secondary analyses on the Children of the National Longitudinal Survey of Youth (NLSY) focusing on developmental and educational outcomes allows one to predict growth patterns in each for deaf and hearing children. Children were flagged as deaf by careful deliberation of multiple questions to indicate hearing status. A sibling of each deaf child was picked as a means of comparison, to control for home environment. The use of frequencies, means, and growth models disproves many past assumptions and raises some interesting questions.
Bibliography Citation
Martino, Paul, Sara Schley and Richard Dirmyer. "Graphing Longitudinal Data: Deaf Children in the "Children of the National Longitudinal Survey of Youth"." Presented: Orlando, FL, Paper 091-2007, SAS Global Forum, April 16-19, 2007.