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.
Preparing for the Analysis
Stages of Analysis
Population Description as the Major Objective
Comparison as the Major Objective
When Weighting Matters
Ranking and Scoring
Doing the Analysis
Cross-Tabulation: Two-Way and Higher-Way Tables
Tabulation and the Assessment of Accuracy
Multiple Response Data
Looking for Respondent Group
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