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CORR2 — Correlations between speech and psychopathology

Computes correlation coefficients (such as Pearson product-moment or Spearman rank coefficient) between speech parameters on the one hand, and psychopathology scales on the other (for fixed recordings and fixed experimental conditions). As an option, this program generates scatter plots thereby including the 2 regression lines y = y(x) and x = x(y). Such plots give a visual impression of the "strength" of the association between the two quantities under comparison: all points lying along the diagonal indicate perfect congruence, whereas, in the case of less perfect association, the angle between the 2 regression lines is inversely proportional to the correlation between the two quantities under comparison.

 
            Specificationlist:       CORR2
            ------------------------------
            I4 INST                      7  Default-value
            I4 MODE                      1  Default-value
            I4 PROT                      0  Default-value
            I4 PLOT                      0  Default-value
            I4 PMAX                      0  Default-value
            I4 LPRT                      6  Default-value
            I4 JNST                      0  Default-value
 
            01 INST Selects pschopathology instrument
            02 MODE Controls type of correlation analysis
            03 PROT Controls output to display/printer
            04 PLOT Controls graphic output
            05 PMAX Specifies maximum number of plot pages
            06 LPRT Logical unit number of plot-device
            07 JNST Selects 2nd pschopathology instrument (MODE=2)
            08 DEMO Examples that illustrate program function
 
 
            - INST = 0: Zurich Health Questionnaire ZGF
                   = 1: Coping Strategies Inventory COPE
                   = 2: Hamilton Depression Scale HAMD
                   = 3: Positive and Negative Syndrome Scale PANSS
                   = 4: SADS Syndrome Check List SSCL16
                   = 5: SADS Syndrome Check List Supplement SSCL-SUPPL
                   = 6: Scale for the Assessment of Negative Symptoms SANS
                   = 7: Speech parameters, age, education, height, weight
 
            - MODE = 0: Correlations between scales within instrument
                   = 1: Correlations between speech parameters and instrument
                   = 2: Correlations between instruments ("INSTR" vs "JNSTR")
 
            - PROT = 0: No print output
                   = 1: Basic statistics, correlation analysis
                   = 2: Details of analyses
 
            - PLOT = 0: No plot output
                   = 1: Scatter plots, no regression lines
                   = 2: Scatter plots, single regression line
                   = 3: Scatter plots, two regression lines
 
            - PMAX = q: Maximum number of plot pages
                   = 0: Unlimited number
 
            - LPRT = q: Logical unit number of plot-device (standard=6;
                        valid numbers are 46-96)
 
            - JNST = 0: Zurich Health Questionnaire ZGF
                   = 1: Coping Strategies Inventory COPE
                   = 2: Hamilton Depression Scale HAMD
                   = 3: Positive and Negative Syndrome Scale PANSS
                   = 4: SADS Syndrome Check List SSCL16
                   = 5: SADS Syndrome Check List Supplement SSCL-SUPPL
                   = 6: Scale for the Assessment of Negative Symptoms SANS
 
 
            - DEMO: Correlation between speech parameters and psychopathology
 
           

Example

 
 
            &&START CSELECT=Normative speech study zurich: males (study 600)
             STUD=600,ATAG=1,STAT=2,SEX=1,AMIN=20,AMAX=30,PROT=1,RSET=1
             POPU=MALES
              ?
            &&START CSELECT=Normative speech study zurich: females (study 600)
             SEX=2,RSET=0
             POPU=FEMALES
            &&START CORR2=Normative speech study zurich (study 600)
             PROT=1,PLOT=3,LPRT=66,MODE=0,INST=7
            &&START CORR2=Normative speech study zurich (study 600)
             MODE=1,INST=0
            &&START CORR2=Normative speech study zurich (study 600)
             MODE=2,INST=0,JNST=3
 
 
           
voxFig27
Fig. 27: Most of the speech parameters used to model speaking behavior and voice sound characteristics are inter-related to each other. This fact is reflected by statistically significant correlations. In consequence, single speech parameters explain only a small proportion of the observed variation of complex phenomena like speaking behavior or voice sound characteristics.

Partners:
Everis, Spain
ETH, Switzerland
UZH, Switzerland
Freiburg, Germany
MA Systems, UK
Bristol, UK
Xiwrite, Italy
Ultrasis, UK
Jaume, Spain
Valencia, Spain
Lanzhou, China

 

EU-Grant (FP7):
248544

[ Comments and suggestions to Webmaster ] k454910@bli.uzh.ch
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