IBM SPSS Sample Power v3.0.1 | 68 MB

IBM SPSS SamplePower is packed with features designed to make finding accurate sample sizes easy. It has two interfaces – the “classic” interface for those familiar with power analysis and an “easy” interface that walks you through the more common procedures. Either interface explains terms and takes you through the steps necessary to determine an effective sample size – giving you clear, precise answers to move forward with your research.

Make Informed Decisions at Every Step
IBM SPSS SamplePower's
interactive guide, which
helps you determine an
effective sample size
step-by-step.IBM SPSS SamplePower's interactive summary panel gives you concise summaries of power and precision at any point, so you can see how each decision affects your results.

Compare Results Before You Begin Your Research

This illustration shows how the
sample size varies as other
settings, such as alpha, are
changed. Different combinations
of research parameters will
affect your statistical power.The stored scenarios tool gives you optimum control over the flow of your research. You can vary alpha level, power, effect size or sample size in the main screen and store your results as you continue.

See How Your Research Criteria Will Affect Power

Tables and graphs created with IBM SPSS SamplePower enable you to easily assess how different combinations of research parameters (such as proposed sample size, alpha levels and duration) will affect your statistical power.

Get Accurate Guidance with Cohen's Effect Sizes

IBM SPSS SamplePower guides
you through Cohen's effect
sizes.IBM SPSS SamplePower's Tool menu provides Cohen's effect size conventions, which allow you to determine effect sizes for particular tests by simply clicking on an icon. Cohen's effect size provides users with a "rule-of-thumb" for determining otherwise ambiguous "small," "medium" and "large" effect sizes. Plug these effect sizes into the main screen to see how varying the effect size affects power or precision.

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