The Basic Statistics software module of StatPac has everything you need to perform the most common statistical analysis reports and graphics. For most researchers, this is the only statistical analysis software they'll ever need.

The Basic Statistics Module contains:

Listing Data

Listing data is not actually a statistical analysis, but is helpful because it can be used to create customized reports in a variety of formats. It is especially handy for listing open-ended responses. While StatPac does contain open-ended response coding, it is also often desirable to see the actual verbatim answers in order to preserve the "flavor" of the responses. Sample

Frequency Analysis

Counts and percents are understood by nearly everyone. StatPac lets you produce clearly labeled tables and presentation-quality graphics. You can easily customize your reports to contain the information you want to see, including confidence intervals (sampling error) and t-tests to identify significant differences between the categories. Many frequency analyses can be displayed on the same page. Special features let you create tables in a variety of formats and give you complete control over the percentage base, labeling, missing cases and several other output options. StatPac will also report frequencies for multiple response and open-ended items. Sample

Open-Ended Response

Coding open-ended responses can be time-consuming and expensive. It can often take days to develop consistent categories and code respondents' answers. StatPac For Windows includes an artificial intelligence engine to automatically perform a content analysis and code open-ended responses. It will evaluate respondents' answers and automatically code them into consistent categories. You get a meaningful analysis without the high cost of manual coding. Verbatim Blaster cuts through the clutter of open-ended text to reduce coding time from days to minutes. You'll be amazed at how well it gets to the "core" of the respondents' comments. Analyze, sort, and revise the categories until you're satisfied, and then print or save the results. The entire coding process can be finished in a few minutes! The result is reliably coded responses that give you meaningful insight into your respondents' opinions, attitudes, and perceptions. Sample

Crosstab Tables

The crosstab analysis is used to study the relationship between two (or three) categorical variables. StatPac clearly displays the relationship using counts, percents and a variety of non-parametric statistics. Special options allow you to perform an interaction analysis, residual analysis, or print a contingency table of observed and expected frequencies. StatPac even has the power to equiweight data, an excellent technique to reduce distortions in most measures of association. (Also see Banner Tables). Sample

Banner Tables

Banners is an excellent marketing research tool to display the relationships of several variables in one table. It is a convenient way to combine multiple crosstab tables into one printout. StatPac is best known in the industry for its outstanding banner tables. You have complete control over the format and labeling of the printout so it's ready to be bound into a report. Special commands let you group multiple response data and print counts, percents, totals, means, and standard deviations anywhere on the table. Complete significance testing can be performed and displayed in the table, including t-tests and chi-square tests. Sample  Additional Samples

Descriptive Statistics

StatPac contains a comprehensive descriptive statistics software program that lets you easily select the statistics you want to see. These include measures of central tendency, measures of dispersion, confidence intervals, measures of normality, and quartiles (or any "iles"). Descriptive statistics for many variables can be displayed on the same page. Sample

Breakdown Analysis

The breakdown analysis allows you to obtain descriptive statistics for a criterion variable broken down by subgroups. It is a convenient way to display and compare descriptive statistics for several groups of data. Researchers often use this technique to examine a variable by a number of demographic subgroups. Sample

T-Tests

The t-test is used to determine if two mean averages are different from each other. It is often used in research to examine pre- and post-test differences or to discover if there is a difference between two groups. StatPac quickly performs t-tests for matched pairs or independent groups. For non-parametric data, you can select the Wilcoxon test for correlated samples or the Mann-Whitney U statistic for independent samples. Sample

Correlation

One of the most popular measures of association is the correlation coefficient. StatPac can calculate correlation matrices using either Pearson's product-moment formula or Spearman's rank-difference method for ordinal data. Tests for reliability include Cronbach's alpha, Spearman-Brown split half test, and KR21. You can custom design your report with the statistics you want to see. Sample

 

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