Data analysis

You can limit and vary the responses you use

• Create derived variables in which you can present responses in different ways
• Set up filters so you only use subsets of the data
• Set up contexts variables to see data in different contexts (e.g., how results for an individual compare to the average of all results)

You can analyse the data and display the results in many different ways within Snap:

• see a quick summary of totals in the questionnaire summary
• set up tables, charts, maps, clouds and lists
• produce statistical analyses

set up smart reports

• Tabular analysis includes holecounts, cross-tabulations, frequency and grid tables.
• Graphical analysis includes 2D and 3D bar, pie, line, area, scatter, doughnut, Gantt, hi-lo charts, word clouds and graphical maps.
• Descriptive statistics available include: Mean, Mode, Median, Quartiles, Sum, Min, Max, Range, Standard Deviation, Variance, Standard Error, Skewness and Kurtosis.

Chi-Square tests, means and medians, standard deviation, standard error, confidence indicators, t-test, U-test and variance available for cross-tabulations.

The results can be expressed as row, column or total percentages or as expected or index values. Results can be ordered and zero suppressed

When you have created your analyses you can:

• Print the results
• Include the results in a report
• Save the results within the survey
• Export the results to htm pages for display on the Web
• Export the results to other software packages for further manipulation.

See Also Defining an analysis (table, chart, list, cloud or map) Defining tables Table appearance Charts in detail Maps in detail Lists in detail Word clouds in detail Using derived variables Analysing semantic scale questions Analysing open-ended questions Using weights Means and medians