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Frequency tables and Crosstabulations
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Video examples of
Frequecy
table
,
CrossTabulation
and
Significance test
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SurveyMiner produces table results that communicate your message most effectively.
SurveyMiner lets you produce clearly labeled frequency and cross tabulation tables.
You can easily customize your reports to include the information you want to
see, descriptive statistics, confidence intervals, Chi-squared tests or t-tests
to identify significant differences between categories. Many tables can be
displayed on the same page. Special features let you create tables with a
variety of options and give you complete control over the percentage base,
labeling, missing cases, multiple response, test and several other options.
Moreover, SurveyMiner can produce many tables in one command.
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The crosstab analysis is used to study the relationship between two (or more)
categorical variables. SurveyMiner displays the relationship using frequencies and
percents, but also with the help of statistical tests.
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Complete significance testing can be performed and displayed in the tables,
including t-tests, Chi-square tests or frequency tests. SurveyMiner contains a
comprehensive descriptive statistics dialog box that lets you easily select the
statistics you want to see from a list of 26 parameters. These include measures
of central tendency, measures of dispersion, confidence intervals, measures of
normality, quartiles. Descriptive statistics for many variables can be displayed
on the same page. The breakdown analysis allows you to obtain descriptive
statistics, frequency and cross tabulation tables for a criterion variable
broken down by subgroups or subsets. It is a convenient way to display and
compare results for several groups of data. Researchers often use this technique
to examine a variable by a number of demographic subgroups. You can create an
unlimited number of subsets. Each subsets are defined by logical relation among
items of different variables (multiple responses variables or not).
SurveyMiner is one of the only packages that offers significance testing between
percents and means in the table itself. It's the most efficient way to compare
responses between different demographic groups. It offers also many variable
creation functionalities and scripts for automatic data coding procedures.
Graphics: 52 different graphic types: column clustered, stacked, bars,
lines, ...
Table formats : 16 different table formats
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Return
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