Buy and Download - IBM SPSS SamplePower 3.0.1 plus Interim Fix 1 and 2

Year/Date Of Release: 2014
Version: 3.0.1
Developer: IBM
Bit depth: 32bit
Language: English
System requirements: Microsoft Windows XP/Vista/Windows 7/Windows 8, 100 Mb disk space

IBM SPSS SamplePower calculator for calculating sample size for the given values of effect significance levels and the power required by the criterion. As the rule is applied at the initial stages of the study before data collection or extraction of the sample.
IBM SPSS SamplePower allows you to quickly find the right sample size for your research and to test the possible results before the study began. Software provides advanced statistical techniques such as means and differences in means, correlation, one-way and factorial analysis of variance (ANOVA), regression and logistic regression, survival analysis and equivalence tests.
IBM SPSS SamplePower helps to compare the effects of different study parameters using analytical tools.

Key features:

Accurate and quick answers with flexible, efficient tools.
Providing functions easy to find the exact sample size.
The "classic" interface for those familiar with power analysis and simple interface that will guide you through normal procedures.
Explanation of terms and carrying out the steps of determining effective sample size allows you to move forward in the study.
Comparison of results using different combinations of the parameters of the study.
Interactive summary panel gives a brief overview of power and precision at each point so that you can see how each decision affects the results.
The scenarios tool allows you to monitor the progress of the study. You can change the significance level, power, effect size or sample size, and save the results as a continuation of the work.
Tables and graphs enable you to assess how different combinations of parameters of the study (such as the significance levels and duration) will affect statistical power.
Determination of sample sizes and their impact using the rules of the effect size of Cohen.
The use of the rule's effect size of Cohen, which allows to determine the size effect in concrete tests.
Use the empirical rule to determine the fuzzy small, medium or large effect sizes. You can change these effect sizes to see how they will affect the power or precision.
Easy determination of sample size with a power setting by default.
The flexibility to select different power settings used for comparison of results.

http://www-01.ibm.com/software/analytics/spss/products/statistics/samplepower/