PubMed · 7323679
The source did not provide an abstract. Follow the original record for more information.
Explore connections, maps & timelines
F Rudmin. 1981. SSW alignment study weaknesses.. https://doi.org/10.3109/01050398109076192
Cite the original work for its findings. Save a collection to share your selection of sources.
KEEP EXPLORING
Twenty-five self-professed left-handers and 21 self-professed right-handers were given a variety of performance tests to assess handedness, along with a preference inventory and a dichotic listening test of language lateralization. The performance tests included the Annett pegboard task, that Tapley and Bryden dot-filling tasks, and two procedures, the long pegboard and long dots tasks, that were intended to assess the point in space at which a particular unimanual movement became sufficiently awkward for one to shift to the other hand. All four of these performance tests differentiated between left-handers and right-handers, although the differences between handedness groups were somewhat larger when handedness was defined in terms of the preference inventory rather than on the basis of self-report. When the difference between preferred and non-preferred hands was examined, the best predictor of hand preference was the long pegboard task. Such a finding is consistent with the view that the long pegboard provides a behavioral measure of hand preference, while the pegs and dots tasks are more closely linked to specific skills. In addition, the correlations between individual preference items and the dichotic right-ear advantage suggest that language lateralization is related to rather different handedness measures than those usually used to define handedness. This finding would suggest that handedness and language lateralization are determined by somewhat different mechanisms.
This experiment tested listeners' ability to discriminate between two temporal patterns as a function of the time interval between the pattern onsets. The listener's task was to decide whether two arrhythmic sequences of nine tones had the same or different temporal patterns; the patterns were defined by the time intervals between the tones. According to the temporal pattern correlation model [R. D. Sorkin, J. Acoust. Soc. Am. 87, 1695-1701 (1990)], listeners extract information about the series of time intervals in each sequence and then compute the correlation between the two series. In the present experiment, the tones in the second sequence were presented at a different frequency than the tones in the first sequence. In one condition, all time intervals in the second sequence were compressed or expanded by a factor that varied randomly over trials. Performance was very good when the sequences did not overlap in time, but was poor when the sequences overlapped. Performance was generally consistent with a discrimination mechanism that cannot process more than one pattern at a time.
Explore the source record for details and available documents.