Effects of word prediction and location of word prediction list on text entry with children with spina bifida and hydrocephalus

References

• Adler, D. A. (1995). Cam Jansen and the triceratops pops mystery. New York: Viking Press.
   Google Scholar
• Amundson, S. J., & Weil, M. (1996). Prewriting and handwriting skills. In J. Case Smith & A. S. Allen (Eds.), Occupational ther-apy for children (pp. 524–543). St. Louis, MO: Mosby.
   Google Scholar
• Anderson, E. (1976). Handwriting and spina bifida. Special Edu-cation Forward Trends, 3(2), 17–20.
   PubMedGoogle Scholar
• Anson, D. (1993). The effect of word prediction on typing speed. The American Journal of Occupational Therapy, 47, 1039–1042.
   PubMed Web of Science ®Google Scholar
• Backman, C. L., Harris, S. R., Chisholm, J. M., & Monette, A. D. (1997). Single-subject research in rehabilitation: A review of studies using AB, withdrawal, multiple baseline and alternating treatments design. Archives of Physical Medicine and Rehabil-itation, 78, 1145–1153.
   PubMed Web of Science ®Google Scholar
• Barlow, D. H., & Hayes, S. C. (1979). Alternating treatments design: One strategy for comparing the effects of two treat-ments in a single subject. Journal of Behavior Analysis, 12, 199–210.
   PubMed Web of Science ®Google Scholar
• BigIan, A. W. (1990). Ophthalmologic complications of meningomyelocele: A longitudinal study. Trans America Oph-thalmologist Society, 88, 389–462.
   PubMedGoogle Scholar
• BigIan, A. W. (1995). Strabismus associated with myelomeningo-cele. Journal of Pediatric Ophthalmology and Strabismus, 32, 309–314.
   PubMedGoogle Scholar
• Briggs, D. (1970). The influence of handwriting on assessment. Educational Review, 13(1), 50–55.
   Google Scholar
• Briggs, D. (1980). A study of the influence of handwriting upon grades using examination scripts. Educational Review, 32, 185–193.
   Web of Science ®Google Scholar
• Brookshire, B. L., Fletcher, J. M., Bohan, T. P., Landry, S. H., Davidson, K. C., & Francis, D. J. (1995). Verbal and nonverbal skill discrepancies in children with hydrocephalus: A five-year longitudinal follow-up. Journal of Pediatric Psychology, 20, 785–800.
   PubMed Web of Science ®Google Scholar
• Bruininks, R. H. (1978). Bruininks-Oseretsky Test of Motor Profi-ciency examiner's manual. Circle Pines, MN: American Guid-ance Service Inc.
   Google Scholar
• Cambridge, J., & Anderson, E. (1979). The handwriting of spina bifida children. London, UK: Association for Spina Bifida and Hydrocephalus.
   Google Scholar
• Co:Writer 4000 [Computer software]. (2000). Wanconda, IL: Don Johnston Inc.
   Google Scholar
• Dabbagh, H. H., & Damper, R. I. (1985). Average selection length and time as predictors of communication rate. In Proceedings of the 8th Annual Conference on Rehabilitation Technology (pp. 404–406). Washington, DC: RESNA Press.
   Google Scholar
• Damper, R. I. (1984). Text composition by the physically disabled: A rate prediction model for scanning input. Applied Ergonomics, 15, 289–296.
   PubMed Web of Science ®Google Scholar
• Dennis, M., Fitz, C. R., Netley, C. T., Sugar, J., Harwood-Nash, D. C. F., Hendrick, E., Hoffman, H., & Humphrey, R. (1981). The intelligence of hydrocephalic children. Journal of Clinical and Experimental Psychology, 9, 593–621.
   Google Scholar
• Donders, J., Rourke, B. P., & Canady, A. I. (1991). Neuropsycho-logical functioning of hydrocephalic children. Journal of Clinical and Experimental Neuropsychology, 13, 607–613.
   PubMed Web of Science ®Google Scholar
• Edgington, E. (1995). Randomization tests. New York: M. Dekker.
   Google Scholar
• Fletcher, J. M., Dennis, M., & Northrup, H. (2000). Neuropsychol-ogy of early hydrocephalus: Sources of variability in outcome domains. In K. 0. Yeates, M. D. Ris, & H. G. Taylor (Eds.), Pediatric neuropsychology: Research, theory and practice (pp. 25–46). New York: Guildford Press.
   Google Scholar
• Fletcher, J. M., Francis, D. J., Thompson, N. M., Brookshire, B., Bohan, T. P., Landry, S. E., Davidson, K. C., & Miner, M. E. (1992). Verbal and nonverbal skill discrepancies in hydrocephalic children. Journal of Clinical and Experimental Neu-ropsychology, 14, 593–609.
   PubMed Web of Science ®Google Scholar
• Fry, E. (1977). Fry's readability graph: Clarifications, validity, and extension to level. Journal of Reading, 17, 242–252.
   Google Scholar
• Gale, A. G. (1993). Human response to visual stimuli. In W. R. Hendee & J. Willemse (Eds.), The perception of visual infor-mation (pp. 127–147). New York: Springer.
   Google Scholar
• Gibler, D. C., & Childress, S. D. (1982). Language anticipation with a computer based scanning communication aid. In Proceedings of the IEEE Computer Society Workshop on Computing to Aid the Handicapped (pp. 11–15). Charlottesville, VA: IEEE.
   Google Scholar
• Goodenough-Trepagnier, C., & Rosen, M. J. (1988). Predictive assessment for communication aid prescription: Motor-deter-mined maximum communication rate. The vocally impaired: Clinical practice and research (pp. 167–185). Philadelphia: G rune and Stratton.
   Google Scholar
• Herbst, K. B., Ottenbacher, K., & Harris, S. (1991). lnterrater reli-ability of therapists' judgements of graphed data. Physical Ther-apy, 71, 107–115.
   PubMedGoogle Scholar
• Heinisch, B., & Hecht, J. (1992). A comparison of six programs: Word prediction software. TAM Newsletter, 8(3), 4–8.
   Google Scholar
• Higginbotham, D. J. (1992). Evaluation of keystroke savings across five assistive communication technologies. Augmenta-tive and Alternative Communication, 8, 258–272.
   Google Scholar
• Higginbotham, D. J. (1993). Assessing augmentative and alterna-tive communication technology. Technology and Disability, 2(3), 42–56.
   Google Scholar
• Horstmann, H., & Levine, S. P. (1991). The effectiveness of word prediction. In Proceedings of the 14th Annual Conference on Rehabilitation Technology, Kansas City, MO. Washington, DC: RESNA Press.
   Google Scholar
• Hunt-Berg, M., Rankin, J. L., & Beukelman, D. R. (1994). Ponder the possibilities: Computer supported writing for struggling writ-ers. Learning Disabilities Research and Practice, 12, 188–194.
   Google Scholar
• Jansen, J., Taudorf, K., Pedersen, H., Jesen, K., Seitzberg, A., & Smith, T. (1991). Upper extremity function in spina bifida. Child's Nervous System, 7,67–71.
   PubMed Web of Science ®Google Scholar
• Karlser, B., & Gardner, E. F. (1995). Stanford Diagnostic Reading Test (4th ed.). San Antonio, TX: Harcourt Brace & Company.
   Google Scholar
• KeyREP© [Computer software]. (1998). Wooster, OH: Prentke Romich Company.
   Google Scholar
• Klund, J., & Novak, M. (1995). If word prediction can help, which program do you choose? Paper presented at the 18th Annual Conference on Rehabilitation Technology, Vancouver, BC, Canada.
   Google Scholar
• Koester, H. H., & Levine, S. P. (1994). Learning and performance of able-bodied individuals using scanning systems with and without word prediction. Assistive Technology, 6, 42–53.
   PubMedGoogle Scholar
• Koester, H. H., & Levine, S. P. (1996). Effect of a word prediction feature on user performance. Augmentative and Alternative Communication, 12, 155–168.
   Google Scholar
• Koester, H. H., & Levine, S. P. (1998). Model simulations of user performance with word prediction. Augmentative and Alternative Communication, 14, 25–35.
   Google Scholar
• Kump, A. (1992). Directions for scoring typing tests taken either on a typewriter or a computer [Data file]. Rockville, MD: U.S. Department of Education, Office of Educational Research and Improvement. (ERIC Document Reproduction Service No. ED 356 269.)
   Google Scholar
• Lafayette Instrument Co. (2000). Purdue Pegboard Test: instruc-tion and normative data for model 32020. Lafayette, IN: Author.
   Google Scholar
• Langer, S., & Hickey, M. (1999). Augmentative and alternative communication and natural language processing: current research activities and prospects. Augmentative and Alternative Communication, 15, 260–268.
   Google Scholar
• Lewis, R. B., Graves, A. W., Ashton, T. M., & Kieley, C. L. (1998). Word processing tools for students with learning disabilities: A comparison of strategies to increase text entry speed.
   Google Scholar
• Learning Disabilities Research and Practice, 13, 95–108.
   Google Scholar
• MacArthur, C. A. (1996). Using technology to enhance the writing processes of students with learning disabilities. Journal of Learning Disabilities, 29, 344–354.
   PubMed Web of Science ®Google Scholar
• MacArthur, C. A. (1998). Word processing with speech synthesis and word prediction: Effects on the dialogue journal writing of students with learning disabilities. Learning Disability Quarterly, 21, 151–165.
   Web of Science ®Google Scholar
• Mazur, L. M., Aylward, G. P., Colliner, F., Stacy, L., & Menelaus, M. (1988). Impaired mental capabilities and hand function in myelomeningocele. Zeitschrift fur Kinderchirurgie, 43, 24–27.
   Google Scholar
• Minns, R. (1984). The management of children with spina bifida and associated hydrocephalus. In N. Gordon & I. McKinley (Eds.), Neurologically handicapped children: Treatment and management (pp. 82–108). Oxford: Blackwell Scientific Publi-cations.
   Google Scholar
• Morris, C., Newell, A. F., Booth, L., Ricketts, I., & Arnott, J. (1992). Syntax PAL: A system to improve the written syntax of lan-guage-impaired users. Assistive Technology, 4, 51–59.
   PubMedGoogle Scholar
• Muen, W. J., & Bannister, C. M. (1997). Hand function in subjects with spina bifida. European Journal of Pediatric Surgery, 7\(Suppl. 1), 18–22.
   PubMedGoogle Scholar
• Newell, A. F., Arnott, J. L., Booth, L., Beattie, W., Brophy, B., & Ricketts, I. W. (1992). Effect of the "PAL" word prediction sys-tem on the quality and quantity of text generation. Augmenta-tive and Alternative Communication, 8, 304–311.
   Google Scholar
• Newell, A. F., Booth, L., Arnott, J. L., & Beattie, W. (1992). Increas-ing literacy levels through the use of linguistic prediction. Child Language Teaching and Therapy, 8,138–187.
   Google Scholar
• Newell, A. F., Booth, L., & Beattie, W. (1991). Predictive text entry with PAL and children with learning difficulties. British Journal of Educational Technology, 22(1), 23–40.
   Web of Science ®Google Scholar
• Nourbakhsh, M. R., & Ottenbacher, K. J. (1994). The statistical analysis of single-subject data: A comparative examination. Physical Therapy, 74, 23–40.
   Google Scholar
• Ottenbacher, K. J. (1986). Evaluating clinical change: Strategies for occupational and physical therapists. Baltimore, MD: Williams & Wilkins.
   Google Scholar
• Phelps, J., Stempel, L., & Speck, G. (1984). The children's hand-writing evaluation scale: A new diagnostic tool. Dallas: Texas Scottish Rite Hospital for Crippled Children.
   Google Scholar
• Remington, R. (1990). Methodological challenges in applying sin-gle case designs to problems in AAC. In J. Brodin & E. Björck-Akesson (Eds.), Proceedings from the First ISAAC Research Symposium in Augmentative and Alternative Communication (pp. 74–78). Stockholm: Swedish Handicap Institute.
   Google Scholar
• Richman, J. E., & Garzia, R. P. (1987). Developmental Eye Move-ment Test, Version 1 (DEM). Mishawaka, IN: Burnell.
   Google Scholar
• Sandler, A. (1997). Living with spina bifida: A guide for families and professionals. Chapel Hill, NC: The University of North Car-olina Press.
   Google Scholar
• Schunk, D. H. (1991). Learning theories: An educational perspec-tive. New York: MacMillan.
   Google Scholar
• Scull, J., & Hill, L. (1988). A computerized communication mes-sage preparation program that "learns" the user's vocabulary. Augmentative and Alternative Communication, 4, 40–43.
   Google Scholar
• Sergeant, J. (1996). A theory in attention: An information pro-cessing perspective. In G. R. Lyon & N. A. Krasnegor (Eds.), Attention, memory and executive function (pp. 57–69). Balti-more: Paul H. Brookes.
   Google Scholar
• Sheslow, D., & Adams, W. (1990). Wide Range Assessment of Memory and Learning. Wilmington, DE: Jastak.
   Google Scholar
• Soede, M., & Foulds, R. A. (1986). Dilemma of prediction in com-munication aids and mental load. In Proceedings of the 9th Annual Conference on Rehabilitation Engineering (pp. 357–359). Washington, DC: RESNA Press.
   Google Scholar
• Struck, M. (1996). Augmentative communication and computer access. In J. Case-Smith & A. S. Allen (Eds.), Occupational therapy for children (pp. 545–561). St. Louis, MO: Mosby.
   Google Scholar
• Swiffin, A. L., Arnott, J. L., Pickering, J. A., & Newell, A. F. (1987). Adaptive and predictive techniques in a communication pros-thesis. Augmentative and Alternative Communication, 3, 181–191.
   Google Scholar
• Tew, B., & Lawrence, K. M. (1975). The effects of hydrocephalus on intelligence, visual perception and school attainment. Devel-opmental Medicine and Child Neurology, / 7\(Suppl. 35), 128–134.
   Google Scholar
• TextHelp Read & Write 4 [Computer software]. (2000). Antrium, North Ireland: Lorien Systems.
   Google Scholar
• Treviranus, J., & Norris, L. (1987). Predictive programs: Writing tools for severely physically disabled students. In Proceedings of the 10th Annual Conference on Rehabilitation Engineering (pp. 130–132). Washington, DC: RESNA Press.
   Google Scholar
• Vanderheiden, G. C., & Kelso, D. P. (1987). Comparative analysis of fixed-vocabulary communication acceleration techniques. Augmentative and Alternative Communication, 3,196–206.
   Google Scholar
• Venkatagiri, H. S. (1994). Effect of window size on rate of com-munication in a lexical prediction AAC system. Augmentative and Alternative Communication, 10, 105–112.
   Google Scholar
• Wechsler, D. (1991). Wechsler Intelligence Scale for Children manual (3rd ed.) New York: Psychological Corp.
   Google Scholar
• Wills, K., Holmbeck, G., Dillon, K., & McLone, D. (1990). Intelli-gence and achievement in children with myelomeningocele. Journal of Pediatric Psychology, 15, 161–176.
   PubMed Web of Science ®Google Scholar
• WriteAway 2000 [Computer software]. (1999). St. John's, New-foundland: Information Services Inc.
   Google Scholar
• Yeates, K. 0., Enrile, B., & Loss, N. (1998). Spina bifida and hydro-cephalus. In C. E. Coffey & R. A. Brumback (Eds.), Textbook of pediatric neuro psychiatry. Washington, DC: American Psychi-atric Press.
   Google Scholar
• Ziviani, J., Hayes, A., & Chant, D. (1990). Handwriting: A percep-tual-motor disturbance in children with myelomeningocele. The Occupational Therapy Journal of Research, 10(1), 10–26.
   Google Scholar