With SPSS Exact Tests, you'll be able to reach correct conclusions and make better decisions. To determine if a relationship between variables exists, researchers often first look at p-values in crosstabs and nonparametric tests. Traditional methods for computing them are fine if your data meet the underlying assumptions. But, if you have a small number of cases, subset your data into fine breakdowns or have variables where 80 percent or more of the responses are in one category, then traditional tests could be incorrect. SPSS Exact Tests always gives you correct p-values, regardless of your data structure.
If you do survey research, medical research, biostatistics, social science research, market research or conduct any type of experiment, you need SPSS Exact Tests.
Use small samples credibly
With instances where a large sample size is impossible or cost-prohibitive, SPSS Exact Tests lets you conduct small studies and still feel confident about the results. You won't lose ground to competitors who have more resources to find new opportunities through larger research studies.
Get more value from your data
SPSS Exact Tests lets you slice and dice your data into breakdowns which can be as fine as you want, so you can learn more by extending your analysis to subgroups. With SPSS Exact Tests, you aren't limited by needing expected counts of five or more per cell for correct results.
Keep your original categories
Don't lose valuable information by collapsing categories to meet the assumptions of traditional tests. With SPSS Exact Tests, you can keep your original design or natural categories - for example, regions, income or age groups - and analyze what you intended to analyze.
Take the worry out of trusting traditional tests
There is no firm answer as to when traditional tests are reliable. Even if you have a large data set, certain situations still call for exact tests. SPSS Exact Tests are so easy to run, you can calculate them anytime with just a click of a button - during your original analysis or when you rerun it. You'll no longer have to worry about when to rely on traditional tests. Your results will decide for you.
Easily interpret and apply exact tests
With SPSS Exact Tests, there is no steep learning curve because you don't need to learn any new statistical theory or procedures. You simply interpret the exact tests results the same way you already interpret the result in SPSS.
Choose the right tool for the job
With SPSS Exact Tests, you always have the right statistical test for your data situation. Over 30 exact tests cover the entire spectrum of nonparametric and categorical data problems for small or large data sets. They include one-sample, two-sample and K-sample tests on independent or related samples, goodness-of-fit tests, tests of independence in RxC contingency tables and tests on measures of association.
What the experts say
"What impresses me most about exact tests is how they fill the deficiencies that many of the major statistics programs have in the area of nonparametric inference and hypothesis tests..."
- Vincent C. Arena, Ph.D., University of Pittsburgh, Graduate School of Public Health, Department of Biostatistics
"The ability to perform exact statistical calculations for nonparametric tests frees one from the nagging worries of the quality of asymptotic approximations..."
- Professor Charles E. McCulloch, Associate Professor of Biological Statistics, Biometrics Unit, Cornell University
