The Effects of Special Education Support on Young Australian School Students

References

• Australian Bureau of Statistics. (2010). Schools Australia 2000–2009. Canberra: Author.
   Google Scholar
• Australian Government. (2011). Budget 2011–2012. Retrieved from http://www.budget.gov.au/
   Google Scholar
• Australian Government ComLaw. (2011). Disability discrimination act 1992. Retrieved from http://www.comlaw.gov.au/Series/C2004A04426
   Google Scholar
• Australian Institute of Family Studies. (2011a). Growing up in Australia: The longitudinal study of Australian children. Retrieved from http://www.aifs.gov.au/growingup/
   Google Scholar
• Australian Institute of Family Studies. (2011b). Publications: Technical papers. Retrieved from http://www.aifs.gov.au/growingup/
   Google Scholar
• Australian Institute of Family Studies. (2011c). Survey instruments. Retrieved from http://www.aifs.gov.au/growingup/
   Google Scholar
• Australian Institute of Family Studies. (2011d). Summarising children’s wellbeing: The LSAC Outcome Index. Retrieved from http://www.aifs.gov.au/growingup/
   Google Scholar
• Barth, R. P., Gibbons, C., & Guo, S. (2006). Substance abuse treatment and the recurrence of maltreatment among caregivers with children living at home: A propensity score analysis. Journal of Substance Abuse Treatment, 30, 93–104.10.1016/j.jsat.2005.10.008
   PubMed Web of Science ®Google Scholar
• Becker, A., Woerner, W., Hasselhorn, M., Banaschewski, T., & Rothenberger, A. (2004). Validation of the parent and teacher SDQ in a clinical sample. European Child and Adolescent Psychiatry, 13, 1–6.
   Google Scholar
• Berliner, D. C. (2002). Comment: Educational research: The hardest science of all. Educational Researcher, 31, 18–20.10.3102/0013189X031008018
   Google Scholar
• Caliendo, M., & Kopeinig, S. (2008). Some practical guidance for the implementation of propensity score matching. Journal of Economic Surveys, 22, 31–72.10.1111/joes.2008.22.issue-1
   Web of Science ®Google Scholar
• Carter, M., Stephenson, J., & Strnadová, I. (2011). Reported prevalence by Australian special educators of evidence-based instructional practices. Australasian Journal of Special Education, 35, 47–60. doi:10.1375/ajse.35.1.47
   Google Scholar
• Carter, M., & Wheldall, K. (2008). Why can’t a teacher be more like a scientist? Science, pseudoscience and the art of teaching. Australasian Journal of Special Education, 32, 5–21.10.1080/10300110701845920
   Google Scholar
• Cohen, J. (1992). A power primer. Psychological Bulletin, 112, 155–159.10.1037/0033-2909.112.1.155
   PubMed Web of Science ®Google Scholar
• Cole, C. M., Waldron, N., & Majd, M. (2004). Academic progress of students across inclusive and traditional settings. Mental Retardation, 42, 136–144.10.1352/0047-6765(2004)42<136:APOSAI>2.0.CO;2
   PubMedGoogle Scholar
• Daniel, L. G., & King, D. A. (1997). Impact of inclusion education on academic achievement, student behavior and self-esteem, and parental attitudes. The Journal of Educational Research, 91, 67–80.10.1080/00220679709597524
   Web of Science ®Google Scholar
• Delgado, C. E. F., & Scott, K. G. (2006). Comparison of referral rates for preschool children at risk for disabilities using information obtained from birth certificate records. The Journal of Special Education, 40, 28–35.10.1177/00224669060400010301
   Web of Science ®Google Scholar
• Dempsey, I. (2011). Legislation, policies and inclusive practices. In P. Foreman (Ed.), Inclusion in action (3rd ed., pp. 42–68). South Melbourne: Cengage.
   Google Scholar
• Dempsey, I., & Davies, M. (2013). National test performance of young Australian children with additional educational needs. Australian Journal of Education, 57, 5–18. doi:10.1177/0004944112468700
   Web of Science ®Google Scholar
• Donovan, M. S., & Cross, C. T. (2002). Minority students in special and gifted education. Washington, DC: National Academy Press.
   Google Scholar
• Freeman, S. F. N., & Alkin, M. C. (2000). Academic and social attainments of children with mental retardation in general education and special education settings. Remedial and Special Education, 21, 3–26. doi:10.1177/074193250002100102
   Web of Science ®Google Scholar
• Goodman, R. (1997). The strengths and difficulties questionnaire: A research note. Journal of Child Psychology and Psychiatry, 38, 581–586.10.1111/jcpp.1997.38.issue-5
   PubMed Web of Science ®Google Scholar
• Guo, S., & Fraser, M. W. (2010). Propensity score analysis: Statistical methods and applications. Thousand Oaks, CA: Sage.
   Google Scholar
• Hansen, B. B., & Klopfer, S. O. (2006). Optimal full matching and related designs via network flows. Journal of Computational and Graphical Statistics, 15, 1–19.
   Web of Science ®Google Scholar
• Hanushek, E. A., Kain, J. F., & Rivkin, S. G. (1998). Does special education raise educational achievement for students with disabilities. The National Bureau of Educational Research (NBER Working Paper No. 6690). Retrieved from http://www.nber.org/papers/w6690
   Google Scholar
• Hardiman, S., Guerin, S., & Fitzsimons, E. (2009). A comparison of the social competence of children with moderate intellectual disability in inclusive versus segregated school settings. Research in Developmental Disabilities, 30, 397–407.10.1016/j.ridd.2008.07.006
   PubMed Web of Science ®Google Scholar
• Hawes, D. J., & Dadds, M. R. (2004). Australian data and psychometric properties of the strengths and difficulties questionnaire. Australian and New Zealand Journal of Psychiatry, 38, 644–651.10.1080/j.1440-1614.2004.01427.x
   PubMed Web of Science ®Google Scholar
• Heckman, J. J., Ichimura, H., & Todd, P. E. (1998). Matching as an econometric evaluation estimator. Review of Economic Studies, 65, 261–294.10.1111/roes.1998.65.issue-2
   Web of Science ®Google Scholar
• Kavale, K. A. (1988). Learning disability and cultural-economic disadvantage: The case for a relationship. Learning Disability Quarterly, 11, 195–210.10.2307/1510764
   Google Scholar
• Lechner, M. (2002). Program heterogeneity and propensity score matching: An application to the evaluation of active labor market policies. Review of Economics and Statistics, 84, 205–220.10.1162/003465302317411488
   Web of Science ®Google Scholar
• Levine, D. I., & Painter, G. (2002). The schooling costs of teenage out-of-wedlock childbearing: Analysis with a within-school propensity-score-matching estimator. The Review of Economics and Statistics, 85, 884–900.
   Web of Science ®Google Scholar
• Louden, W., Chan, L. K. S., Elkins, J., Greaves, D., House, H., Milton, M., … Van Kraayenoord, C. E. (2000). Mapping the territory-primary students with learning difficulties: Literacy and numeracy. Vol. 2: Analysis. Canberra: Department of Education, Training and Youth Affairs.
   Google Scholar
• McCaffrey, D. F., Ridgeway, G., & Morral, A. R. (2004). Propensity score estimation with boosted regression for evaluating causal effects in observational studies. Psychological Methods, 9, 403–425.10.1037/1082-989X.9.4.403
   PubMed Web of Science ®Google Scholar
• Morgan, P. L., Frisco, M. L., Farkas, G., & Hibel, J. (2010). A propensity score matching analysis of the effects of special education services. The Journal of Special Education, 43, 236–254.10.1177/0022466908323007
   PubMed Web of Science ®Google Scholar
• National Centre for Education Statistics. (2008). Academic rating scale. Retrieved from http://nces.ed.gov/ECLS/kinderinstruments.asp
   Google Scholar
• National Early Childhood Technical Assistance Centre. (2011). The outcomes of early intervention for infants and toddlers with disabilities and their families. Retrieved from http://www.nectac.org/~pdfs/pubs/outcomesofearlyintervention.pdf
   Google Scholar
• NSW Department of Education and Training. (2011). School learning support program. Retrieved from http://www.schools.nsw.edu.au/studentsupport/programs/schoollearning/index.php
   Google Scholar
• NSW Government. (2011). NSW 2010–11 budget papers. Retrieved from http://www.budget.nsw.gov.au/
   Google Scholar
• NSW Legislative Council. (2010). The provision of education to students with a disability or special needs. Retrieved from http://www.parliament.nsw.gov.au/prod/parlment/committee.nsf/0/47F51A782AEABBABCA25767A000FABEC
   Google Scholar
• Odom, S. L., Brantlinger, E., Gersten, R., Horner, R. H., Thompson, B., & Harris, K. R. (2005). Research in special education: Scientific methods and evidence-based practices. Exceptional Children, 71, 137–148.10.1177/001440290507100201
   Web of Science ®Google Scholar
• Palmer, C. (2007). Teacher professional standards: The views of highly accomplished special education teachers. Paper presented at AARE 2006 International Education Research Conference, Adelaide. Retrieved from http://trove.nla.gov.au/work/153063706?versionId=166814742
   Google Scholar
• Peetsma, T., Vergeer, M., Roeleveld, J., & Karsten, S. (2010). Inclusion in education: Comparing pupils’ development in special and regular education. Educational Review, 53, 125–135.
   Google Scholar
• R Core Team. (2013). R: A language and environment for statistical computing. Retrieved from http://www.R-project.org/
   Google Scholar
• Rosenbaum, P. R. (1989). Optimal matching for observational studies. Journal of the American Statistical Association, 84, 1024–1032.10.1080/01621459.1989.10478868
   Web of Science ®Google Scholar
• Rosenbaum, P. R. (2002). Observational studies (2nd ed.). New York, NY: Springer.10.1007/978-1-4757-3692-2
   Google Scholar
• Rosenbaum, P. R., & Rubin, D. B. (1984). Reducing bias in observational studies using subclassification on the propensity score. Journal of the American Statistical Association, 79, 516–524.10.1080/01621459.1984.10478078
   Web of Science ®Google Scholar
• Rosenbaum, P. R., & Silber, J. H. (2001). Matching and thick description in an observational study of mortality after surgery. Biostatistics, 2, 217–232.10.1093/biostatistics/2.2.217
   PubMedGoogle Scholar
• Ross, S. (2009). A first course in probability (8th ed.). Upper Saddle River, NJ: Prentice Hall.
   Google Scholar
• Rothman, S. (2009). The LSAC academic rating scale score. Melbourne: Australian Council for Educational Research.
   Google Scholar
• SAS Institute Inc. (2013). SAS 9.3 software. Cary, NC: Author.
   Google Scholar
• Schaeffer, C., Petras, H., Ialongo, N., Poduska, J., & Kellam, S. (2003). Modeling growth in boys’ aggressive behavior across elementary school: Links to later criminal involvement, conduct disorder, and antisocial personality disorder. Developmental Psychology, 39, 1020–1035.10.1037/0012-1649.39.6.1020
   PubMed Web of Science ®Google Scholar
• Shadish, W. R., Cook, T. D., & Campbell, D. T. (2002). Experimental and quasi-experimental designs for generalized causal inference. Boston, MA: Houghton Mifflin.
   Google Scholar
• SPSS, I. B. M. (2013). SPSS version 21. New York, NY: Author.
   Google Scholar
• Stata Corporation. (2011). Stata release 11. College Station, TX: Author.
   Google Scholar
• Stephenson, J., & Carter, M. (2005). Student teachers’ perceptions of best practice in practicum with learners who have high support needs. Australasian Journal of Special Education, 29, 60–83.10.1080/1030011050290105
   Google Scholar
• Sullivan, A. L., & Field, S. (2013). Do preschool special education services make a difference in kindergarten reading and mathematics skills? A propensity score weighting analysis. Journal of School Psychology, 51, 243–260.10.1016/j.jsp.2012.12.004
   PubMed Web of Science ®Google Scholar
• Tindal, G. (1985). Investigating the effectiveness of special education: An analysis of methodology. Journal of Learning Disabilities, 18, 101–112.10.1177/002221948501800209
   PubMed Web of Science ®Google Scholar
• van Kraayenoord, C. E., & Elkins, J. (2004). Learning difficulties in numeracy in Australia. Journal of Learning Disabilities, 37, 32–41.10.1177/00222194040370010401
   PubMed Web of Science ®Google Scholar
• Wheldall, K., & Carter, M. (2008). A scientific approach to special education. Australasian Journal of Special Education, 32, 1–4.10.1080/10300110701851969
   Google Scholar
• Wiener, J., & Tardif, C. Y. (2004). Social and emotional functioning of children with learning disabilities: Does Special Education placement make a difference? Learning Disabilities Research & Practice, 19, 20–32.
   Google Scholar