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
|
