Statistical infrequency as a definition of abnormality has useful practicalapplications.
Practical application + E
For example , statistical infrequency is used as part of formal diagnosis and as a way to assess the severity of an individual's symptoms.
Practical applications + E
This shows that the value of statistical infrequency criteria is useful in diagnostic and assessment processes.
Practical applications + L
This suggests that there are potential benefits to society of using this definition to classify abnormality.
Incomplete explanation - P
Not all abnormal behaviours are infrequent and rare , creating problems for this definition.
Incomplete explanation - E
For example , depression can be considered to be a common behaviour. 20% suffer a depressive episode at some point in their life. Yet a medicated approach is often an effective approach in treating these episodes.
Incomplete explanation - E
Failure to categorise depression as abnormal may prevent effective treatment strategies from being used, prolonging the sufferers experience.
Incomplete explanation - L
This implies that the definition of statistical infrequency does not fully account for all cases of psychopathology which may cause problems or delays in diagnosis and treatment.
Reliability + P
The objectivity that this definition allows for an impartial and fair assessment of abnormality.
Reliability + E
Having a cut off point for abnormality allows practitioners to see if behaviour is statistically rare.
Reliability + E
For example, one may say that an individual who has an IQ below or above the average level of IQ in society is abnormal.
Reliability + L
Overall, this improves the reliability of diagnosis, as conditions will not be subject to medical opinion or doctors subjective perceptions.