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MSELECT — Selects speech parameters and/or psychopathology scales
This program is used to define a subsample of cases for subsequent
analyses. Cases are selected through the specification of
study-numbers, group-numbers, proband-numbers, recording days,
and experimental conditions. A sequence of CSELECT-calls accumulates
cases, so that any problem-specific subsample of cases can
be assembled by a sequence of single steps. An existing
subsample of cases is deleted by means of the parameter RSET.
Specificationlist: MSELECT
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I4 SCAL 1 Default-value
I4 PROT 0 Default-value
I4 RSET 1 Default-value
01 SCAL Selects scale/instrument
02 PROT Controls output to display/printer
03 RSET Controls concatenation of cases
04 DEMO Examples that illustrate program function
- SCAL = 1: Speech parameters
= 2: Zurich Health Questionnaire (ZGF)
= 3: Coping Behavior (COPE)
= 4: Hamilton Depression Scale (HAMD)
= 5: Positive and Negative Symptom Scale (PANSS)
= 6: Syndrome Check List (SSCL16)
= 7: Syndrome Check List Axis V (SSCL16S)
- PROT = 0: No print output
1: Report of all selected instruments
- RSET = 0: Add instrument to list
= 1: Begin new list
- DEMO: Selecting scales for analysis (Speech, PANSS, HAMD, COPE)
Example
&&START MSELECT=Normative speech study zurich (study 600)
SCAL=1,PROT=0,RSET=1
&&START MSELECT=Normative speech study zurich (study 600)
SCAL=5,RSET=0
&&START MSELECT=Normative speech study zurich (study 600)
SCAL=4
&&START MSELECT=Normative speech study zurich (study 600)
SCAL=3
&&START MSELECT=Normative speech study zurich (study 600)
SCAL=2,PROT=1
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Fig. 13: Voice sound characteristics possess a distinct
"individuality" that allows one, for example, to identify persons
on the phone very quickly without speaking explicitly about the
identity of the speaker. In fact, voice sound characteristics
have a strong biological component in the range of 80% or higher.
The inter-individual differences of voice sound patterns between
unrelated subjects can be studied in detail by means of a
similarity function that quantifies between-subject similarities
and dissimilarities as a function of frequency (here: comparison
of two unrelated subjects). See Fig. 14 for a comparison of
repeated assessments on the same individual at 14-day intervals.
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