This guide is concerned with some fundamental ideas of analysis of data from

surveys. Our aim here is to clarify the ideas that successful data analysts usually need to consider completing a survey analysis task purposefully.

An ill-thought-out analysis process can produce incompatible outputs and many

results that never get discussed or used. It can overlook key findings and fail to pull

out the subsets of the sample where clear findings are evident.

This workshop is intended to assist the research team in working systematically; it is no substitute for clear-sighted and thorough work by researchers. We believe that where participants can undertake basic survey analysis, our recommendations will help and encourage them to do so better.

Course Content

Preparing for the Analysis

• Data Types
• Data Structure
• Stages of Analysis
• Population Description as the Major Objective
• Comparison as the Major Objective
• When Weighting Matters
• Coding
• Ranking and Scoring

Doing the Analysis

• Approaches
• One-Way Tables
• Cross-Tabulation: Two-Way and Higher-Way Tables
• Tabulation and the Assessment of Accuracy
• Multiple Response Data
• Profiles
• Looking for Respondent Group
• Indicators
• Validity
• Summary