Skip to main content
Top
Published in: Maternal and Child Health Journal 2/2013

01-02-2013

Computing Theoretical Rates of Part C Eligibility Based on Developmental Delays

Authors: Steven A. Rosenberg, Misoo C. Ellison, Bruce Fast, Cordelia C. Robinson, Radu Lazar

Published in: Maternal and Child Health Journal | Issue 2/2013

Login to get access

Abstract

Part C early intervention is a nationwide program that serves infants and toddlers who have developmental delays. This article presents a methodology for computing a theoretical estimate of the proportion of children who are likely to be eligible for Part C services based on delays in any of the 5 developmental domains (cognitive, motor, communication, social-emotional and adaptive) that are assessed to determine eligibility. Rates of developmental delays were estimated from a multivariate normal cumulative distribution function. This approach calculates theoretical rates of occurrence for conditions that are defined in terms of standard deviations from the mean on several variables that are approximately normally distributed. Evidence is presented to suggest that the procedures described produce accurate estimates of rates of child developmental delays. The methodology used in this study provides a useful tool for computing theoretical rates of occurrence of developmental delays that make children candidates for early intervention.
Appendix
Available only for authorised users
Literature
1.
go back to reference Rosenberg, S. A., Zhang, D., & Robinson, C. C. (2008). Prevalence of developmental delays and participation in early intervention services for young children. Pediatrics, 121(6), e1503–e1509.PubMedCrossRef Rosenberg, S. A., Zhang, D., & Robinson, C. C. (2008). Prevalence of developmental delays and participation in early intervention services for young children. Pediatrics, 121(6), e1503–e1509.PubMedCrossRef
3.
go back to reference US Department of Education. (2011). Office of Special Education Programs, Data Analysis System (DANS), OMB #1820-0557: Infants and Toddlers Receiving Early Intervention Services in Accordance with Part C, 2010. Table 8–16. Number and percentage of infants and toddlers, ages birth to three, receiving early intervention services under IDEA, Part C, by state: 2010. Cited December 16, 2011. Available at: https://www.ideadata.org/arc_toc12.asp#partcCC. US Department of Education. (2011). Office of Special Education Programs, Data Analysis System (DANS), OMB #1820-0557: Infants and Toddlers Receiving Early Intervention Services in Accordance with Part C, 2010. Table 816. Number and percentage of infants and toddlers, ages birth to three, receiving early intervention services under IDEA, Part C, by state: 2010. Cited December 16, 2011. Available at: https://​www.​ideadata.​org/​arc_​toc12.​asp#partcCC.
4.
go back to reference Shackelford, J. (2006). State and jurisdictional eligibility definitions for infants and toddlers with disabilities under IDEA. (NECTAC Notes No. 21). Chapel Hill: The University of North Carolina, FPG Child Development Institute, National Early Childhood Technical Assistance Center. Shackelford, J. (2006). State and jurisdictional eligibility definitions for infants and toddlers with disabilities under IDEA. (NECTAC Notes No. 21). Chapel Hill: The University of North Carolina, FPG Child Development Institute, National Early Childhood Technical Assistance Center.
5.
go back to reference Feinberg, E., Silverstein, M., Donahue, S., & Bliss, R. (2011). The impact of race on participation in Part C early intervention services. Journal of Developmental and Behavioral Pediatrics, 32(4), 1–8.CrossRef Feinberg, E., Silverstein, M., Donahue, S., & Bliss, R. (2011). The impact of race on participation in Part C early intervention services. Journal of Developmental and Behavioral Pediatrics, 32(4), 1–8.CrossRef
6.
go back to reference Chao, A., Tsay, P. K., Lin, S. H., Shau, W. Y., & Chao, D. Y. (2001). The applications of capture-recapture models to epidemiological data. Statistics in Medicine, 20(20), 3123–3157.PubMedCrossRef Chao, A., Tsay, P. K., Lin, S. H., Shau, W. Y., & Chao, D. Y. (2001). The applications of capture-recapture models to epidemiological data. Statistics in Medicine, 20(20), 3123–3157.PubMedCrossRef
7.
go back to reference Genz, A. (1992). Numerical computation of multivariate normal probabilities. Journal of Computational and Graphical Statistics, 1(2), 141–149. Genz, A. (1992). Numerical computation of multivariate normal probabilities. Journal of Computational and Graphical Statistics, 1(2), 141–149.
8.
9.
go back to reference Bayley, N. (2006). Bayley scales of infant and toddler development, third edition, technical manual, San Antonio, TX: Harcourt Assessment, Inc. Bayley, N. (2006). Bayley scales of infant and toddler development, third edition, technical manual, San Antonio, TX: Harcourt Assessment, Inc.
10.
go back to reference Newborg, J. (2005). Battelle developmental inventory, 2nd edn: Examiner’s manual. Itasca, IL: Riverside. Newborg, J. (2005). Battelle developmental inventory, 2nd edn: Examiner’s manual. Itasca, IL: Riverside.
12.
go back to reference Nord, C., Edwards, B., Andreassen, C., Green, J.L., & Wallner-Allen, K. (2006). Early childhood longitudinal study, birth cohort (ECLS-B), user’s manual for the ECLS-B longitudinal 9-month: 2-year data file and electronic codebook (NCES 2006-046). Washington, DC: US Department of Education, National Center for Education Statistics. Nord, C., Edwards, B., Andreassen, C., Green, J.L., & Wallner-Allen, K. (2006). Early childhood longitudinal study, birth cohort (ECLS-B), user’s manual for the ECLS-B longitudinal 9-month: 2-year data file and electronic codebook (NCES 2006-046). Washington, DC: US Department of Education, National Center for Education Statistics.
13.
go back to reference Bayley, N. (1993). Bayley scales of infant development (2nd ed.). San Antonio, TX: Psychological Corporation. Bayley, N. (1993). Bayley scales of infant development (2nd ed.). San Antonio, TX: Psychological Corporation.
14.
go back to reference Andreassen, C., & Fletcher, P. (2005). Early childhood longitudinal study, birth cohort (ECLS-B), psychometric characteristics. Volume 1 of the ECLS-B Methodology Report for the Nine-Month Data Collection (NCES 2005-100). Washington, DC: US Department of Education, National Center for Education Statistics. Andreassen, C., & Fletcher, P. (2005). Early childhood longitudinal study, birth cohort (ECLS-B), psychometric characteristics. Volume 1 of the ECLS-B Methodology Report for the Nine-Month Data Collection (NCES 2005-100). Washington, DC: US Department of Education, National Center for Education Statistics.
21.
go back to reference Salvia, J., Ysseldyke, J., & Bolt, S. (2007). Assessment: In Special and inclusive education (10th ed.). Boston: Houghton Mifflin Company. Salvia, J., Ysseldyke, J., & Bolt, S. (2007). Assessment: In Special and inclusive education (10th ed.). Boston: Houghton Mifflin Company.
22.
go back to reference Andersson, L. L. (2004). Appropriate and inappropriate interpretation and use of test scores in early intervention. Journal of Early Intervention, 27, 55–68.CrossRef Andersson, L. L. (2004). Appropriate and inappropriate interpretation and use of test scores in early intervention. Journal of Early Intervention, 27, 55–68.CrossRef
Metadata
Title
Computing Theoretical Rates of Part C Eligibility Based on Developmental Delays
Authors
Steven A. Rosenberg
Misoo C. Ellison
Bruce Fast
Cordelia C. Robinson
Radu Lazar
Publication date
01-02-2013
Publisher
Springer US
Published in
Maternal and Child Health Journal / Issue 2/2013
Print ISSN: 1092-7875
Electronic ISSN: 1573-6628
DOI
https://doi.org/10.1007/s10995-012-0982-2

Other articles of this Issue 2/2013

Maternal and Child Health Journal 2/2013 Go to the issue