Data Generator Tips Part 1

SSI Web 8.2.0 comes with a new feature called the Data Generator.  The Data Generator can quickly generate lots of random synthetic data for a study.  It also has the ability to supply user defined answers instead of allowing the program to answer randomly.  For example: if a study contains restrictive screener questions, it may be virtually impossible for randomly generated answers to avoid screening out correctly. This post shows extra tricks that can be used to quickly and easily create defined values for answering screener questions.

When your study is ready to be tested, from SSI Web, click Test | Test Survey with Options… I prefer to see question names, see variable names, and ignore randomization so I can quickly identify the current question and not worry about looking for the answers that will allow me to proceed through the survey.   (Test Survey will also work if you are not concerned with this.)  I make sure Show Question NamesShow Variable NamesRemove Randomization, and Disable Terminate/Link Functionality are checked and click Test Survey

When the browser opens, proceed to take the study; answering so as to not get disqualified, or to take a specific path to test skip logic.  When finished, return to SSI Web and click Test | Admin Module.  Once the browser loads the Admin Module, under Data Management, click Download | Download Data to save a csv file with the answers from taking the study.  Take note of where the csv file was downloaded/saved.

In SSI Web, click Test | Generate Data, then click the Defined Values tab.  Check Use Defined Values, click on the Import Values button , and browse to the downloaded csv file, select it and click OK.  The specified answers from taking the survey manually have now been inserted as defined values for future data generation.

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Lighthouse Studio (formerly SSI Web) is our flagship software for producing and analyzing online and offline surveys. It contains modules for general interviewing, choice-based conjoint, adaptive choice-based conjoint, adaptive choice analysis, choice-value analysis, and maxdiff exercises.

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