Introduction to Tabulation of Raw Data
Data processing is an intermediary stage of work between data collection and data analysis. Processing of data requires advance planning at the stage of planning the research design. This advance planning covers such aspects as categorization of variables and preparation of dummy tables. This should be done with the reference to the requirements of testing hypotheses/investigative questions. This type of preplanning ensures better identification of data needs and their adequate coverage in the tools for collection of data. Data processing consists of number of closely related operations that is (1) editing, (2) classification and coding, (3) transcription and (4) tabulation.
Tabulation
Data are summarized and arranged in a compact form for further analysis this process is called tabulation. So, tabulation is the process of summarizing raw data and displaying them on compact statistical tables for further analysis. It involves counting of number of cases falling into each of various categories. Tabulation can be done by hand or by mechanical or electronic devices. The choice depends on size and type of study, cost considerations, time pressures and the availability of tabulating machines or computers. Hand tabulation is suitable for the small and simple studies. Electronic/mechanical tabulation is more appropriate for large and complex studies.
Components of a Table
The major components of a table are:
A. Heading
1. Table Number
2. Title of the table
3. Designation of units
B. Body
1. Stub-head - heading of all rows or blocks of stub items.
2. Box-head - headings of all columns or main captions and their sub captions
3. Field or body - the cells in rows and columns
C. Notations
1. Footnotes, if necessary
2. Source
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