Working-Memory-Behavioral/outputsAcrossTaskAnalysis at master · NPDL/Working-Memory-Behavioral · GitHub

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These are the results of correlating (pearson correlation) forward recall performance with backward recall performance:
The first row is for sighted. The second is for blind.
The first column is for % positions correct. The second is for % letters correct
Rho:
0.46105     0.43659
0.31376    0.091846
P-values:
0.035416    0.047841
 0.17794     0.70015
{Undefined function or variable 'h'.

Error in <a href="matlab:matlab.internal.language.introspective.errorDocCallback('analyzeAcrossTasks', '/Users/noraharhen/Desktop/Work/Research/WM/analyzeAcrossTasks.m', 148)" style="font-weight:bold">analyzeAcrossTasks</a> (<a href="matlab: opentoline('/Users/noraharhen/Desktop/Work/Research/WM/analyzeAcrossTasks.m',148,0)">line 148</a>)
if sum(h) == 1
}
opentoline('/Users/noraharhen/Desktop/Work/Research/WM/analyzeAcrossTasks.m',148,0)
if sum(hDiff) == 1
    disp('No signifigant difference in effect of manipulation for either positions correct or letters correct')
else
    disp('These was a signifigant difference of the effect of manipulation on these measures:')
    disp(measures(hDiff==1)) % display name of measure
    disp(num2str(pDiff(hDiff==1))) % display p-value
    disp(num2str(statDiff.tstat(hDiff==1))) % display t-value
end
These was a signifigant difference of the effect of manipulation on these measures:


%%% Simple and Complex Recall %%%
tasks = {'forward', 'backward'};
for t = 1:2
    disp(['These are the results of correlating (pearson correlation) simple ', tasks{t} ' recall' ...
        'performance with complex recall performance:'])
    disp('The first row is for sighted. The second is for blind. ')
    disp('The first column is for % positions correct. The second is for % letters correct')
    disp('Rho:')
    disp(num2str(rhoMixRecall(:,:,t)))
    disp('P-values:')
    disp(num2str(pMixRecall(:,:,t)))
end
These are the results of correlating (pearson correlation) simple forward recallperformance with complex recall performance:
The first row is for sighted. The second is for blind.
The first column is for % positions correct. The second is for % letters correct
Rho:
0.42025     0.58969
0.46882     0.36637
P-values:
0.057853   0.0049012
 0.03706     0.11211
These are the results of correlating (pearson correlation) simple backward recallperformance with complex recall performance:
The first row is for sighted. The second is for blind.
The first column is for % positions correct. The second is for % letters correct
Rho:
0.36142     0.55093
 0.4194     0.36801
P-values:
 0.10745   0.0096422
0.065652      0.1104

%%% Recognition %%%
disp(['These are the results of correlating (pearson correlation) non-verbal recognition performance' ...
    'with verbal recognition performance:'])
These are the results of correlating (pearson correlation) non-verbal recognition performancewith verbal recognition performance:
disp('The first item is for sighted. The second is for blind.')
The first item is for sighted. The second is for blind.
disp('Rho:')
Rho:
disp(num2str(rhoRecog))
0.22705     0.25215
disp('P-values:')
P-values:
disp(num2str(pRecog))
0.32228     0.28351

if writeToFile
    diary off
end