Survey Analysis and Reporting in the Cloud

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Innovative Survey Reporting - The movie

Drobots introduction movie (2 min)

Why Drobots are the innovation in Survey analysis

Why drobots are created to analyze surveys

what Drobots Survey Analysis software does

Drobots versus other survey analysis software

Drobots Software Screenshots

Analyzing frequencies

Selecting your data for analysis

Calculating means

Detailed drill down on answers

Cross tables

Advanced Survey Statistics

Survey Reporting examples using Drobots

Customer Satisfaction Survey

e-Government Survey

Lingerie Branding Survey

Software updates, release notes

Software Revision 6

Advanced Survey Statistics
Created by Drobots on 10/23/2010 2:08:32 PM

Regression analyses calculates the unique contribution of each independent variable to the dependent variable. The “Impact diagram » Regression” analysis is used to represent the mean values various concepts. The higher on the vertical axis, the higher the mean score.

The unique part about this graph is that it also shows the strength of the causal relationship (or regression) with the dependent variable. (the horizontal axis) The more to the right, the higher the impact.

If there is more than one concept in the selected dataset, you can select the concept you want to evaluate at the top of the page. Next to “Select Dependent Concept:”.

Below the graph you are presented with a table that lists all concepts. For each of these concepts you can read their true value, the standardized OLS regression coefficient, and a conclusion.

An example:
A course satisfaction study (see “DEMO” dataset) is set up by a university to find out what students think about the quality of the education the school offers.

When analysing the results using a regression impact diagram, the researcher will conclude that in this particular survey, “Tests” scores best and “Material” and “Staff” have lesser results.(according to their vertical position) But also, very importantly, the researcher will see that “Staff” has the most impact on the “Global Satisfaction” split variable. So, one could say that since “Staff” has the biggest impact on the global satisfaction score; the “Staff”- aspect of this questionnaire (= quality of teachings, behavior of professors,…) is perceived as the most important aspect to help shape the global satisfaction with the school.

Seeing as the worst scoring facets have the biggest impact on the global satisfaction, one could say “the school has a big problem”. Or “the school should invest in improving the Staff and Material facets, to very quickly improve the global satisfaction of its students”.
Advanced Survey Statistics Graph

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