Under-representation in nationally representative secondary data

References

• APA (American Psychiatric Association) . 1980 . Diagnostic and statistical manual of mental disorders , 3 , Washington , DC : American Psychiatric Association .
   Google Scholar
• APA (American Psychiatric Association) . 2000 . Diagnostic and statistical manual of mental disorders , 4th ed. rev , Washington , DC : American Psychiatric Association .
   Google Scholar
• CDC (Centers for Disease Control and Prevention). 2010. Autism spectrum disorders homepage. http://www.cdc.gov/ncbddd/autism/index.html
   Google Scholar
• Curtin , C. , Anderson , S. E. , Must , A. and Bandini , L. 2010 . The prevalence of obesity in children with autism: A secondary data analysis using nationally representative data from the National Survey of Children's Health . BMC Pediatrics , 10 ( 11 ) http://www.biomedcentral.com/1471-2431/10/11
   PubMed Web of Science ®Google Scholar
• Frankel , M. 2010 . “ Sampling theory ” . In Handbook of survey research , Edited by: Marsden , P. and Wright , J. 83 – 138 . UK : Emerald Group .
   Google Scholar
• Graubard , B. I. and Korn , E. L. 1996 . Modeling the sample design in the analysis of health surveys . Statistical Methods in Medical Research , 5 : 263 – 81 .
   PubMedGoogle Scholar
• Kanner , L. 1943 . Autistic disturbances of affective contact . Nervous Child , 2 : 217 – 50 .
   Google Scholar
• Lee , L. C. , Harrington , R. A. , Chang , J. J. and Connors , S. L. 2007 . Increased risk of injury in children with developmental disabilities . Research in Developmental Disabilities , 29 ( 3 ) : 247 – 55 .
   Web of Science ®Google Scholar
• Lepkowski , J. and Couper , M. 2002 . “ Non-response in the second wave of longitudinal household surveys ” . In Survey non-response , Edited by: Groves , R. , Dillman , D. , Eltinge , J. and Little , R. 259 – 22 . New York , NY : John Wiley and Sons .
   Google Scholar
• Liptak , G. S. , Stuart , T. and Auinger , P. 2006 . Health care utilization and expenditures for children with autism: Data from US National Samples . Journal of Autism and Developmental Disorders , 36 ( 7 ) : 871 – 9 .
   PubMed Web of Science ®Google Scholar
• Montes , G. and Halterman , J. S. 2007 . Psychological functioning and coping among mothers of children with autism: A population-based study . Pediatrics , 119 ( 5 ) : 1040 – 6 .
   PubMed Web of Science ®Google Scholar
• NCES (National Center for Education Statistics). 2006. Early childhood longitudinal study-kindergarten cohort (ECLS-K) longitudinal kindergarden-fifth grade public-use data file and electronic codebook (NCES 2006035). US Department of Education, Institute for Education Sciences, Washington, DC: National Center for Education Statistics
   Google Scholar
• NCES (National Center for Education Statistics). 2009. Early childhood longitudinal study, birth cohort (ECLS-B) 9-month – kindergarten, 2007 restricted-use data file and electronic codebook (CD-ROM), (NCES 2010–010). US Department of Education, Institute for Education Sciences, Washington, DC: National Center for Education Statistics
   Google Scholar
• NSCH (National Survey of Children's Health). 2003. Maternal and Child Health Bureau of the Health Resources and Services Administration and the Centers for Disease Control and Prevention's National Center for Health Statistics. http://nschdata.org/Content/Default.aspx
   Google Scholar
• Schieve , L. A. , Rice , C. , Boyle , C. , Visser , S. N. and Blumberg , S. J. 2006 . Parental report of diagnosed autism in children aged 4–17 years – United States, 2003–2004 . Morbidity and Mortality Weekly Report , 55 ( 17 ) : 481 – 6 .
   Google Scholar
• Smith , E. 2008 . Pitfalls and promises: The use of secondary data analysis in educational research . British Journal of Educational Studies , 56 ( 3 ) : 323 – 39 .
   Web of Science ®Google Scholar
• Thomas , S. L. and Heck , R. H. 2001 . Analysis of large-scale secondary data in higher education research: Potential perils associated with complex sampling designs . Research in Higher Education , 42 ( 5 ) : 517 – 40 .
   Web of Science ®Google Scholar
• Thomas , S. L. , Heck , R. H. and Bauer , K. W. 2005 . Weighting and adjusting for design effects in secondary data analyses . New Directions for Institutional Research , 127 : 51 – 72 .
   Google Scholar
• Wing , L. and Potter , D. 2002 . The epidemiology of autistic spectrum disorders: Is the prevalence rising? . Mental Retardation and Developmental Disabilities Research Reviews , 8 ( 3 ) : 151 – 61 .
   PubMedGoogle Scholar
• Wolf , S. 2004 . The history of autism . European Child and Adolescent Psychiatry , 113 : 201 – 8 .
   Google Scholar