Unformatted text preview: rization should meet the information required
to test the hypothesis or investigate the questions.
Second, the scheme of classification should be exhaustive. That is, there
must be a category for every response. For example, the classification of
martial status into three category viz., “married” “Single” and “divorced” is
not exhaustive, because responses like “widower” or “separated” cannot be
fitted into the scheme. Here, an open ended question will be the best mode
of getting the responses. From the responses collected, the researcher can
fit a meaningful and theoretically supportive classification. The inclusion of
the classification “Others” tends to fill the cluttered, but few responses from
the data sheets. But “others” categorization has to carefully used by the
researcher. However, the other categorization tends to defeat the very
purpose of classification, which is designed to distinguish between
observations in terms of the properties under study. The classification
“others” will be very useful when a minority of respondents in the data set
Sikkim Manipal University Page No. 154 Research Methodology Unit 11 give varying answers. For instance, the reading habits of newspaper may be
surveyed. The 95 respondents out of 100 could be easily classified into 5
large reading groups while 5 respondents could have given a unique
answer. These given answer rather than being separately considered could
be clubbed under the “others” heading for meaningful interpretation of
respondents and reading habits.
Third, the categories must also be mutually exhaustive, so that each case is
classified only once. This requirement is violated when some of the
categories overlap or different dimensions are mixed up.
The number of categorization for a specific question/observation at the
coding stage should be maximum permissible since, reducing the
categorization at the analysis level would be easier than splitting an already
classified group of responses. However the number of categories is limited
by the number of cases and the anticipated statistical analysis...
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- Spring '10
- Mean, Manipal University, Sikkim Manipal University