Eleanor L. Higgins|Marshall H. Raskind
Compensatory Effectiveness of Speech Recognition on the Written Composition Performance of Postsecondary Students with Learning Disabilities
California State University, Northridge
seventeen males twelve females wrote essays three conditions without assistance b using human transcriber c using speech recognition system students received higher holistic scores using speech recognition writing without assistance statistically significant level p048 order determine reasons superior scores essays written using speech recognition 22 measures fluency vocabulary syntax computed several measures showed strong correlation holistic score multiple regression revealed best predictor holistic score words seven letters ratio words seven letters total words differed significantly across conditions p0136 favor speech recognition compared receiving assistance factor analysis identified three factors accounted significant variation holistic score factor 1 measures related length essay p0001 factor 2 measures morphological complexity p003 factor 3 main verbs p021 authors suggest technology may successful encouraged use longer words powerful predictor holistic score