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| Describe FAQ/kappa here. | == Kappa statistic evaluation in SPSS == |
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| [CUT AND PASTE THE SYNTAX BELOW AND ADJUST DATA INPUT AS REQUIRED] | SPSS syntax available: |
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| {{{ * example data input template * * Rater 2 * Mild Moderate Severe * Mild 5 5 0 *Rater 1 Moderate 3 6 0 * Severe 1 1 0 |
* [:FAQ/kappa/kappans:Non-square tables where one rater does not give all possible ratings] |
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| set format f10.5. data list free / r1 r2 freq. |
* [:FAQ/kappa/multiple:More than 2 raters] |
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| begin data 1 1 5 2 1 3 3 1 1 1 2 5 2 2 6 3 2 1 end data. |
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| * * Syntax used for rectangular tables to compute kappa. * (David Nichols, ASSESS Newsletter 1996) * (recommended on P.104 of SPSS Reference manual, 1990): * * * Program uses Cohen's Kappa for agreement between a pair of raters * for a two way rectangular table of ratings (ie at least 2 ratings given by both raters) * * * Gives kappa and the asymptotic standard error of Everitt(1996) * P.292 Making Sense of Statistics in Psychology * * preserve. set printback=off mprint=off. save outfile='kap0.sav'. define kapparec (vars=!tokens(2) /num=!tokens(1) ). count ms__=!vars !num (missing). select if ms__=0. matrix. get x /var=!vars. get ff /var=!num. compute c=mmax(x). compute y=make(c,2,0). compute w=make(c,1,0). compute sume=make(c,1,0). compute ans=make(1,3,0). loop i=1 to nrow(x). loop k=1 to c. do if x(i,1)=k. compute y(k,1)=y(k,1)+ff(i,1). end if. do if x(i,2)=k. compute y(k,2)=y(k,2)+ff(i,1). end if. do if (x(i,1) eq k and x(i,2) eq k). compute w(k,1)=w(k,1)+ff(i,1). end if. end loop. end loop. loop k=1 to c. compute sume(k,1)= y(k,1) * y(k,2) / csum(ff). end loop. compute kstat= ( csum(w) - csum(sume) ) / (csum(ff) - csum(sume)). loop k=1 to c. compute ans(1,1)=(csum(ff)-csum(sume)) / csum(ff). compute ans(1,1)=ans(1,1)-(y(k,1)+y(k,2))*(csum(ff)-csum(w)) / (csum(ff))**2. compute ans(1,1)=(w(k,1) / csum(ff))*ans(1,1)*ans(1,1). compute ans(1,2)=ans(1,2)+ans(1,1). end loop. loop k=1 to c. loop j=1 to c. loop i=1 to nrow(x). do if (x(i,1) eq k and x(i,2) eq j and x(i,1) ne x(i,2)). compute ans(1,3)=ans(1,3)+ff(i,1)/csum(ff)*((y(k,2)/csum(ff))+(y(j,1)/csum(ff)))**(2). end if. end loop. end loop. end loop. compute ans(1,3)=ans(1,3)*(1-(csum(w)/csum(ff)))**2. compute ase=(csum(w)*csum(sume))/(csum(ff)*csum(ff)). compute ase=ase-2*(csum(sume)/csum(ff))+(csum(w)/csum(ff)). compute ase=ase**2. compute ase=ans(1,3)-ase. compute ase=ans(1,2)+ase. compute ase=sqrt(ase*(1/(csum(ff)*(1-(csum(sume)/csum(ff)))**4))). compute z=kstat/ase. compute sig=1-chicdf(z**2,1). save {kstat,ase,z,sig} /outfile='ka__tmp3.sav' /variables=kstat,ase,z,sig. end matrix. get file='ka__tmp3.sav'. formats all (f11.8). variable labels kstat 'Kappa' /ase 'ASE' /z 'Z-Value' /sig 'P-Value'. report format=list automatic align(center) /variables=kstat ase z sig /title "Estimated Kappa, Asymptotic Standard Error," "and Test of Null Hypothesis of 0 Population Value". get file='kap0.sav'. !enddefine. restore. |
'''Note:''' Reliability as defined by correlation coefficients (such as Kappa) requires variation in the scores to acheive a determinate result. If you have a program which produces a determinate result when the scores of one of the coders is constant, the bug is in that program, not in SPSS. Each rater must give at least two ratings. |
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| kapparec vars=r1 r2 num=freq. }}} |
* [:FAQ/kappa/magnitude:Benchmarks for suggesting what makes a high kappa] |
Kappa statistic evaluation in SPSS
SPSS syntax available:
- [:FAQ/kappa/kappans:Non-square tables where one rater does not give all possible ratings]
- [:FAQ/kappa/multiple:More than 2 raters]
Note: Reliability as defined by correlation coefficients (such as Kappa) requires variation in the scores to acheive a determinate result. If you have a program which produces a determinate result when the scores of one of the coders is constant, the bug is in that program, not in SPSS. Each rater must give at least two ratings.
- [:FAQ/kappa/magnitude:Benchmarks for suggesting what makes a high kappa]