categories of classification in detail
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FEATURES OF A CLASSIFICATION
Precise and meaningful descriptors for categories - The content of each category in the classification should be clearly defined
Conceptually sound - The classification should have a conceptual basis and a logical structure
Statistically balanced - In general, survey responses should not fall heavily into one category and sparsely into the other categories
Operationally feasible - There is no point in having a classification that cannot be implemented in practice
Statistically robust - The classification should be able to be used for a number of years without revision
Internationally comparable - The classification should be comparable with any international standard classification
It is generally accepted that a standard classification will usually meet a number of requirements which are outlined below.
Exhaustive categories - All survey responses need to fit into the classification structure somewherePrecise and meaningful descriptors for categories - The content of each category in the classification should be clearly defined
Conceptually sound - The classification should have a conceptual basis and a logical structure
Statistically balanced - In general, survey responses should not fall heavily into one category and sparsely into the other categories
Operationally feasible - There is no point in having a classification that cannot be implemented in practice
Statistically robust - The classification should be able to be used for a number of years without revision
Internationally comparable - The classification should be comparable with any international standard classification
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