matlab adaptation of generalizability theory for inter-rater reliability ...

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end

if (var_rs

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end end end end end trsv=trsv+V(i,4); trs2=trs2+(trsp^2)+(trsv^2); srkt=(trs2/C)-df-rkt-skt; % calculation of sum of squares for lxrxs tlsrkt=tlsr-df-lkt-rkt-skt-lrkt-lskt-srkt % calculation of Mean Squares ms_lrs=tlsrkt/((n-1)*(C-1)); ms_lr=lrkt/(C-1); ms_ls=lskt/((n-1)*(C-1)); ms_rs=srkt/(n-1); ms_l=lkt/(C-1); ms_s=skt/(n-1); % estimates of the variance components var_lrs=ms_lrs; var_lr=(ms_lr-ms_lrs)/n; var_ls=(ms_ls-ms_lrs)/2; var_rs=(ms_rs-ms_lrs)/C; var_l=(ms_l-ms_lr-ms_ls+ms_lrs)/(2*n); var_r=(ms_r-ms_lr-ms_rs+ms_lrs)/(C*n); var_s=(ms_s-ms_ls-ms_rs+ms_lrs)/(2*C); if (var_lrs

end if (var_rs

Page 1 and 2: These methods are described in Erca
Page 3 and 4: After constructing the data matrixe
Page 5 and 6: % calculation of sum of squares for
Page 7: end end if (sb>(V(i,2)-1)) & (sb(P(

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