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.

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