Accommodations Bibliography

Search Results

672 results.
  • (N.d.) (Vol. 103, pp. 543–557).

  • Agarwal, N., & Kumar, V. (2017). An invisible student population: Accommodating and serving college students with lupus. Work, 56(1), 165–173. doi:10.3233/WOR-162477

  • Lin, P. Y., & Lin, Y. C. (2013). The impact of setting accommodation on large-scale assessment of English language learners with and without learning disabilities: Balanced vs. unbalanced data in latent class analyses. Journal of Studies in Education, 3(2), 1–19. doi:10.5296/jse.v3i2.3371

  • Medlin, S. A. (2016). 1:1 technology and computerized state assessments. Dissertation Abstracts International: Section A. Humanities and Social Sciences, 77(07)E. Retrieved from http://search.proquest.com/docview/1765393272/abstract

  • Steinberg, J., Cline, F., Ling, G., Cook, L., & Tognatta, N. (2008). Examining the validity and fairness of a state standards-based assessment of English-language arts for deaf or hard of hearing students. Journal of Applied Testing Technology, 10(2). Retrieved from http://atpu.memberclicks.net/journal-of-applied-testing-technology

  • Lee, D. L., & Zentall, S. S. (2002). The effects of visual stimulation on the mathematics performance of children with attention deficit/hyperactivity disorder. Behavioral Disorders, 27(3), 272–288. Retrieved from http://www.ccbd.net/publications/behavioraldisorders

  • Pommerich, M. (2004). Developing computerized versions of paper-and-pencil tests: Mode effects for passage-based tests. The Journal of Technology, Learning, and Assessment, 2(6). Retrieved from http://ejournals.bc.edu/ojs/index.php/jtla/article/view/1666

  • Alghazo, R. (2008). Disability attitudes of postsecondary faculty members and perspectives regarding educational accommodation. Dissertation Abstracts International: Section A. Humanities and Social Sciences, 69(06). Retrieved from http://search.proquest.com/docview/304474773/abstract

  • Bouck, E. C., Joshi, G. S., & Johnson, L. (2013). Calculating the value of calculators: Who uses it and does it help? Educational Studies in Mathematics, 83(3), 369–385. doi:10.1007/s10649-012-9461-3

  • McCollum, D., Nation, S., & Gunn, S. (2014). The effects of a speech-to-text software application on written expression for students with various disabilities. National Forum of Special Education Journal, 25(1), 1–13. Retrieved from http://www.nationalforum.com/Electronic%20Journal%20Volumes/McCollum,%20Dixie%20Effects%20of%20a%20Speech-to-Text%20Software%20NFSEJ%20V25%20N1%202014.pdf

  • Erin, J. N., Hong, S., Schoch, C., & Kuo, Y. (2006). Relationships among testing medium, test performance, and testing time of high school students who are visually impaired. Journal of Visual Impairment & Blindness, 100(9), 523–532. Retrieved from http://www.afb.org/jvib/jvib_main.asp

  • Higgins, E. L., & Raskind, M. H. (2005). The compensatory effectiveness of the Quicktionary Reading Pen II on the reading comprehension of students with learning disabilities. Journal of Special Education Technology, 20(1), 31–40. Retrieved from http://www.tamcec.org/jset/

  • Raskind, M. H., & Higgins, E. L. (1999). Speaking to read: The effects of speech recognition technology on the reading and spelling performance of children with learning disabilities. Annals of Dyslexia, 49(1), 259–281. doi:10.1007/s11881-999-0026-9

  • Wadlington, C., DeOrnellas, K., & Scott, S. R. (2017). Developing effective transition reports for secondary students: A nationwide survey of college and university disability support personnel. Exceptionality, 25(3), 207–215. doi:10.1080/09362835.2017.1283623

  • Quinlan, T. (2004). Speech recognition technology and students with writing difficulties: Improving fluency. Journal of Educational Psychology, 96(2), 337–346. doi:10.1037/0022-0663.96.2.337

  • Malcolm, M. P., & Roll, M. C. (2017). Assistive technology outcomes in post-secondary students with disabilities: The influence of diagnosis, gender, and class-level. Disability and Rehabilitation: Assistive Technology, 12(8), 857–867. doi:10.1080/17483107.2016.1277794

  • Garrett, J. T., Heller, K. W., Fowler, L. P., Alberto, P. A., Fredrick, L. D., & O’Rourke, C. M. (2011). Using speech recognition software to increase writing fluency for individuals with physical disabilities. Journal of Special Education Technology, 26(1), 25–42. doi:10.1177/016264341102600104

  • Bouck, E. C., & Yadav, A. (2008). Accessing calculators as assessment accommodations for students with disabilities. Assistive Technology Outcomes and Benefits, 5(1), 19–28. Retrieved from http://eric.ed.gov/?id=EJ884365

  • Bielinski, J., Sheinker, A., & Ysseldyke, J. (2003). Varied opinions on how to report accommodated test scores: Findings based on CTB/McGraw-Hill’s framework for classifying accomodations. Minneapolis, MN: University of Minnesota, National Center on Educational Outcomes. Retrieved from http://www.education.umn.edu/nceo/onlinepubs//synthesis49.html

  • Smith, D. W., & Amato, S. (2012). Synthesis of available accommodations for students with visual impairments on standardized assessments. Journal of Visual Impairment & Blindness, 106(5), 299–304. Retrieved from http://www.afb.org/JVIB/main.asp

Keywords
% of Sample with Disability
Intended audience
Data collection instrument(s)
Technique(s) used in data analysis