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[[File:Interobserver Reliability and the Kappa Statistic.png|thumb|right|Interobserver Agreement and the Îș (Kappa) Statistic. Top: Conventional 2 x 2 table for Kappa calculation. Bottom: Sample problem, with observed agreement of 80%, chance agreement of 74%, and Kappa statistic of 0.23]]
[[File:Interobserver Reliability and the Kappa Statistic.png|thumb|right|Interobserver Agreement and the Îș (Kappa) Statistic. Top: Conventional 2 x 2 table for Kappa calculation. Bottom: Sample problem, with observed agreement of 80%, chance agreement of 74%, and Kappa statistic of 0.23]]


If two observers examine the same patients independently this can be displayed in a 2 x 2 table. Observer A finds a positive sign in w1 patients, and negative sign in w2 patients. Observer B finds a positive sign in y1 patients and negative sign in y2 patients. The two observers agree that the sign if positive in ''a'' patients, and is negative in ''d'' patients. The observed agreement (PO) is calculated:
If two observers examine the same patients independently this can be displayed in a 2 x 2 table. Observer A finds a positive sign in w1 patients, and negative sign in w2 patients. Observer B finds a positive sign in y1 patients and negative sign in y2 patients. The two observers agree that the sign if positive in ''a'' patients, and is negative in ''d'' patients. The observed agreement (''p{{sub|o}}'') is calculated:
:''PO ='' {{math|{{sfrac|(''a'' + ''d'')|''N''}}}}
:''p{{sub|o}}='' {{math|{{sfrac|(''a'' + ''d'')|''N''}}}}


To calculate the Îș-statistic the first step is calculating the agreement that would have occurred simply due to chance. Observer A found that among all patients W1/N have the sign. Observer B finds that the patients y1 have the sign, and among y1 patients Observer A would find the sign by chance in (w1y1/N) patients. This number represents the number of patients in which both observers agree by chance. Likewise, both observers would agree that the sign is negative by chance in (w2y2/N) patients.
To calculate the Îș-statistic the first step is calculating the agreement that would have occurred simply due to chance. Observer A found that among all patients W1/N have the sign. Observer B finds that the patients y1 have the sign, and among y1 patients Observer A would find the sign by chance in (w1y1/N) patients. This number represents the number of patients in which both observers agree by chance. Likewise, both observers would agree that the sign is negative by chance in (w2y2/N) patients.


The expected chance of agreement (PE) is the sum of these two values, divided by N.
The expected chance of agreement (''p{{sub|e}}'') is the sum of these two values, divided by N.
:''PE ='' {{math|{{sfrac|(''w''{{sub|1}}''y''{{sub|1}} + ''w''{{sub|2}}''y''{{sub|2}})|''N''{{sup|2}}}}}}
:''p{{sub|e}} ='' {{math|{{sfrac|(''w''{{sub|1}}''y''{{sub|1}} + ''w''{{sub|2}}''y''{{sub|2}})|''N''{{sup|2}}}}}}


If both observers agree that a finding is rare (approaching 0) or very common (approaching N) then the expected chance of agreement (PE) approaches 100%  
If both observers agree that a finding is rare (approaching 0) or very common (approaching N) then the expected chance of agreement (''p{{sub|e}}'') approaches 100%  


The Îș-statistic is the difference in observed agreement (PO) and the expected chance of agreement (PE) (PO-PE), divided by the maximal increment that could have been observed if the observed agreement (PO) was 100% (1 - PE)
The Îș-statistic is the difference in observed agreement (''p{{sub|o}}'') and the expected chance of agreement (''p{{sub|e}}'') ''x'' (''p{{sub|o}} ''-'' p{{sub|e}}''), divided by the maximal increment that could have been observed if the observed agreement (''p{{sub|o}}'') was 100% (1 - ''p{{sub|e}}'')


:''Îș ='' {{math|{{sfrac|(''PO'' − ''PE'')|(''1'' − ''PE'')}}}}
:''Îș ='' {{math|{{sfrac|(''p{{sub|o}}'' − ''p{{sub|e}}'')|(''1'' − ''p{{sub|e}}'')}}}}


The sample problem in the figure represents a fictional study of 100 patients with ischial tuberosity tenderness. Both observers agree that tenderness is present in 5 patients and absent in 75 patients.  
The sample problem in the figure represents a fictional study of 100 patients with ischial tuberosity tenderness. Both observers agree that tenderness is present in 5 patients and absent in 75 patients.  
:Observed agreement (PO) is (5 + 75)/100 = 0.8.  
:Observed agreement (''p{{sub|o}}'') is (5 + 75)/100 = 0.8.  
:By chance the observers would agree the sign was present in ((5+5) x (15+5))/100 patients = 2 patients
:By chance the observers would agree the sign was present in ((5+5) x (15+5))/100 patients = 2 patients
:By chance the observers would agree the sign was not present in ((75+15) x (75+5))/100 patients = 72 patients.  
:By chance the observers would agree the sign was not present in ((75+15) x (75+5))/100 patients = 72 patients.  
:Expected chance of agreement (PE) is (2 + 72)/100 patients = 0.74.  
:Expected chance of agreement (''p{{sub|e}}'') is (2 + 72)/100 patients = 0.74.  
:The Îș-statistic is (0.80 – 0.74)/(1 – 0.74) = (0.06)/(0.26) = 0.23.
:The Îș-statistic is (0.80 – 0.74)/(1 – 0.74) = (0.06)/(0.26) = 0.23.



Revision as of 19:20, 26 May 2021

This article is a stub.
Interobserver Agreement and the Îș (Kappa) Statistic. Top: Conventional 2 x 2 table for Kappa calculation. Bottom: Sample problem, with observed agreement of 80%, chance agreement of 74%, and Kappa statistic of 0.23

If two observers examine the same patients independently this can be displayed in a 2 x 2 table. Observer A finds a positive sign in w1 patients, and negative sign in w2 patients. Observer B finds a positive sign in y1 patients and negative sign in y2 patients. The two observers agree that the sign if positive in a patients, and is negative in d patients. The observed agreement (po) is calculated:

po= (a + d)/N

To calculate the Îș-statistic the first step is calculating the agreement that would have occurred simply due to chance. Observer A found that among all patients W1/N have the sign. Observer B finds that the patients y1 have the sign, and among y1 patients Observer A would find the sign by chance in (w1y1/N) patients. This number represents the number of patients in which both observers agree by chance. Likewise, both observers would agree that the sign is negative by chance in (w2y2/N) patients.

The expected chance of agreement (pe) is the sum of these two values, divided by N.

pe = (w1y1 + w2y2)/N2

If both observers agree that a finding is rare (approaching 0) or very common (approaching N) then the expected chance of agreement (pe) approaches 100%

The Îș-statistic is the difference in observed agreement (po) and the expected chance of agreement (pe) x (po - pe), divided by the maximal increment that could have been observed if the observed agreement (po) was 100% (1 - pe)

Îș = (po − pe)/(1 − pe)

The sample problem in the figure represents a fictional study of 100 patients with ischial tuberosity tenderness. Both observers agree that tenderness is present in 5 patients and absent in 75 patients.

Observed agreement (po) is (5 + 75)/100 = 0.8.
By chance the observers would agree the sign was present in ((5+5) x (15+5))/100 patients = 2 patients
By chance the observers would agree the sign was not present in ((75+15) x (75+5))/100 patients = 72 patients.
Expected chance of agreement (pe) is (2 + 72)/100 patients = 0.74.
The Îș-statistic is (0.80 – 0.74)/(1 – 0.74) = (0.06)/(0.26) = 0.23.

Bibliography

  • McGee, Steven R. Evidence-based physical diagnosis. Philadelphia: Elsevier/Saunders, 2012.