Explain briefly the chief characteristics of a good classification.
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The characteristics of a good classification are: Comprehensiveness. Clarity. Homogeneity.
1. Clarity- Classification of data must be clear. There should be no confusion in classification of data.
2. No overlapping- The classification of data must be done in an exhaustive manner.
3. Suitability- Classification must be performed according to the subject matter of enquiry.
4. Flexible- A classification must possess flexibility so that the relevant changes can be made according to the situation.
5. Stability- The data must be classified on the basis of some criteria.
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Following are the essential characteristics of a good classification:-
- Clarity :There should be no uncertainty or ambiguity as to which class or group the collected data is to be kept in.
- Stability : To make the data suitable for comparison and to meaningfully compare the results, it is necessary that the classification has stability.
- Extensiveness : The various classes should be created in such an extensive manner that no data-item from the collected data is left out and is necessarily included in some or the other class. If required, a miscellaneous class can be created; i.e. while creating classes on basis of marital status, widower, widow, divorcee, etc. cannot be included in married and unmarried classes. Hence, classification should be complete and extensive.
- Suitability : Classes should be created in accordance with the objectives. As, in order to know the financial status or saving tendency of people, it would be suitable to create classes on basis of income.
- Flexibility : The classification should be flexible enough to accommodate change, amendment and inclusion in various classes in accordance with new situations.
- Homogeneity : Units of each class should be homogeneous. All the units (data-items) included in a class or group should be present according to the property on basis of which the classification was done.
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