Processing of research data
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This document outlines the key steps in processing research data: editing to gather accurate and complete data by finding and correcting errors; coding to organize data through assigning numerical values to categories to enable analysis; classification and distribution such as frequency, percentage, and cumulative distributions; and tabulation to present overall findings in a simplified way and facilitate comparison, trends, and further statistical computation.
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Processing of research data
- 1. PROCESSING OF RESEARCH DATA
- 2. EDITING NEED • To Gather Information • To relevant and appropriate data • To find errors and modified, • To Ensures that the information provided is accurate, • To establish the consistency of data • To determine whether or not the data are complete; • To obtain the best possible data available.
- 3. CODING NEED • It is necessary for efficient analysis • Its need to organize data code • To form structure for coding • To interpretation of data • For conclusions of data coded • To translating answers into numerical values • To assigning numbers to the various categories for data analysis.
- 4. CLASSIFICATION/DISTRIBUTION 1. 2. 3. 4. Frequency Distribution Percentage Distribution Cumulative Distribution Statistical Distributions
- 5. TABULATION Need/Usefulness • The present an overall view of findings in a simpler way. • To identify trends. • They display relationships in a comparable way between parts of the findings • It conserves space and reduces explanatory and descriptive statement to a minimum. • It facilitates the process of comparison. • It provides a basis for various statistical computations