BartonK.FinchH. (2004). Using DIF analysis to examine assumptions of unidimensionality across groups of students with disabilities, with accommodations, and English language learners. Paper presented at the annual meeting of the National Council for Measurement in Education, San Diego, CA.
2.
BielinskiJ.YsseldykeJ.BoltS.FriedebachM.FriedebachJ. (2001). Prevalence of accommodations for students with disabilities participating in a statewide testing program. Assessment for Effective Intervention, 26(2), 21–28.
3.
CahalanC.MandinachE. B.CamaraW. J. (2002). Predictive validity of the SAT I: Reasoning test for test-takers with learning disabilities and extended time (College Board Research Report 2002–5). Retrieved June 21, 2004, from http://www.collegeboard.com/repository/rr20025_11437.pdf.
4.
CrawfordL.HelwigR.TindalG. (2004). Writing performance assessments: How important is extended time?. Journal of Learning Disabilities, 37, 132–142.
5.
DestefanoL.ShrinerJ. G.LloydC. A. (2001). Teacher decision making in participation of students with disabilities in large-scale assessment. Exceptional Children, 68, 7–22.
6.
ElliottJ.BielinskiJ.ThurlowM.DeVitoP.HedlundE. (1999). Accommodations and the performance of all students on Rhode Island's performance assessment (Rhode Island Assessment Report 1). Minneapolis, MN: University of Minnesota, National Center on Educational Outcomes. (ERIC Document Reproduction Service No. ED 440 516).
7.
ElliottS.KratochwillT.McKevittB. (2001). Experimental analysis of the effects of testing accommodations on the scores of students with and without disabilities. Journal of School Psychology, 39, 3–24.
8.
ElliottS. N.McKevittB. C.KettlerR. J. (2002). Testing accommodations research and decision making: The case of “good” scores being highly valued but difficult to achieve for all students. Measurement and Evaluation in Counseling and Development, 35, 153–166.
9.
FuchsL. S.FuchsD. (2001). Helping teachers formulate sound test accommodation decisions for students with learning disabilities. Learning Disabilities Research & Practice, 16, 174–181.
10.
FuchsL. S.FuchsD.EatonS. B.HamlettC.BinkleyE.CrouchR. (2000). Using objective data sources to enhance teacher judgments about test accommodations. Exceptional Children, 67, 67–81.
11.
FuchsL. S.FuchsD.EatonS. B.HamlettC. L.KarnsK. M. (2000). Supplementing teacher judgments of mathematics test accommodations with objective data sources. School Psychology Review, 29, 65–85.
12.
HollenbeckK.LinderC.AlmondP. (2002). Statewide writing score comparability of various tools used by students with visual impairments (Accommodations Research Report 8). Eugene, OR: Behavioral Research and Teaching, University of Oregon.
13.
HollenbeckK.Rozek-TedescoM.TindalG.GlasgrowA. (2000). An exploratory study of student-paced versus teacher-paced accommodations for large-scale math tests. Journal of Special Education Technology, 15(2), 27–36.
14.
HollenbeckK.TindalG.AlmondP. (1998). Teachers' knowledge of accommodations as a validity issue in high-stakes testing. Journal of Special Education, 32, 175–183.
15.
HollenbeckK.TindalG.HarnissM.AlmondP. (1999). The effect of using computers as an accommodation in a statewide writing test. Retrieved May 18, 2004, from the University of Oregon Web site: http://brt.uoregon.edu/publications_archive.htm.
16.
Individuals With Disabilities Education Improvement Act of 2004, H. R. 1350 (2004).
17.
JablonskiB.EdgemonE. A.WileyA. W.LloydJ. W. (2005). Large-scale testing accommodations for students with disabilities: Literature review. Manuscript submitted for publication.
18.
JohnsonE.KimballK.BrownS. O.AndersonD. (2001). A statewide review of the use of accommodations in large-scale high-stakes assessments. Exceptional Children, 67, 251–264.
19.
KoretzD.HamiltonL. (2000). Assessment of students with disabilities in Kentucky: Inclusion, student performance, and validity. Educational Evaluation and Policy Analysis, 22(3), 255–272.
20.
MacArthurC. A.CavalierA. R. (2004). Dictation and speech recognition technology as test accommodations. Exceptional Children, 71, 43–58.
21.
MacArthurC. A.GrahamS. (1987). Learning disabled students' composing under three methods of test production: Handwriting, word processing, and dictation. Journal of Special Education, 21(3), 22–42.
22.
MeloyL. L.DevilleC.FrisbieD. (2002). The effect of read aloud accommodations on test scores of students with and without a learning disability in reading. Remedial and Special Education, 23, 248–255.
23.
MungerG. F.LoydB. H. (1991). The effects of speededness on test performance of handicapped and nonhandicapped examinees. Journal of Educational Research, 85, 53–57.
24.
OfieshN. S.HughesC.ScottS. S. (2004). Extended test time and postsecondary students with learning disabilities: A model for decision making. Learning Disabilities Research & Practice, 19, 57–70.
25.
PerlmanC. L.BorgerJ.CollinsC. B.ElenbogenJ. C.WoodJ. (1996, April). The effect of extended time limits on learning disabled students' scores on standardized reading tests. Paper presented at the annual meeting of the National Council on Measurement in Education, New York. (ERIC Document Reproduction Service No. ED 400 316).
26.
RagostaM.WendlerC. (1992). Eligibility issues and comparable time limits for disabled and nondisabled SAT examinees (College Entrance Examination Board Rep. No. 92–5). New York: Educational Testing Service. (ERIC Document Reproduction Service No. ED 349 337).
27.
TrimbleS. (1998). Performance trends and use of accommodations on a statewide assessment: Students with disabilities in the KIRIS on-demand assessment from 1992–93 through 1995–96 (Maryland—Kentucky Report 3). Retrieved June 16, 2004, from the National Center on Educational Outcomes, University of Minnesota, Web site: http://education.umn.edu/NCEO/OnlinePubs/MDKY_3.html.
28.
YsseldykeJ.ThurlowM.BielinskiJ.TrimbleS.HillK.WickheiserJ. (1999). Characteristics of students who participate in Kentucky's testing system under various conditions (Maryland—Kentucky Report 4). Retrieved June 16, 2004, from the National Center on Educational Outcomes, University of Minnesota, Web site: http://education.umn.edu/NCEO/OnlinePubs/MdKy_4.html.
29.
ZiomekR. L.AndrewsK. M. (1996). Predicting the college grade point averages of special tested students from their ACT assessment scores and high school grades (Report No. ACT-RR-96-7). Iowa City, IA: American College Testing. (ERIC Document Reproduction Service No. ED 405357).