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ERIC Number: ED197231
Record Type: Non-Journal
Publication Date: 1980-Sep
Pages: 19
Abstractor: N/A
Reference Count: N/A
Measuring Affect from Speech: The Mahl Speech Disturbance Indices.
Dush, David M.; Kaoukis, George
The measurement of personality characteristics via the analysis of verbal communication is of interest due to its unobtrusive, accessible, and objective nature. The Mahl Speech Disturbance Indices, a procedure for assessing anxiety on the basis of speech disturbance patterns, was examined to assess the nature and reliability of the indices and their validity as measures of anxiety. A battery of trait anxiety, state affect, and social desirability measures was administered to 96 college students in the context of an intelligence testing experiment. The Mahl indices were derived from audio recordings of speech from 78 subjects. The traditional "Non-Ah" anxiety index failed to correlate significantly with any of the criteria. A two-factor representation of the seven "Non-Ah" ratios yielded a significant canonical correlation with affect measures. Prediction was improved when quadratic and cubic "Ah" components were incorporated. Ultimately, canonical functions emerged which differentially predicted the anxiety, hostility, and depression measures via three linear combinations of the disturbance ratios. (Author/NRB)
Publication Type: Reports - Research; Speeches/Meeting Papers
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A