Obtenga a la primera el tamaño de muestra correcto

Tanto si es un estadista o un investigador avanzado o principiante, identificará fácilmente el tamaño de muestra adecuado en cada momento y para cada criterio de investigación.

Si el tamaño de la muestra es demasiado pequeño, es posible que pierda conclusiones importantes de la investigación. Si es demasiado grande, podría desperdiciar tiempo y recursos valiosos. Encuentre el tamaño correcto para su investigación en cuestión de minutos y pruebe los posibles resultados antes de iniciar el estudio con IBM SPSS SamplePower.

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Get Precise Results Faster with Flexible, Efficient Tools


The "easy" interface prompts you
with a series of simple questions
and provides an executive
summary of the rationale for the
sample size, as well as a detailed
report.
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.

Find Sample Sizes in One Mouseclick


IBM SPSS SamplePower finds the
sample size for the default power
setting quickly and easily.
IBM SPSS SamplePower's Find N tool finds the sample size for the default power setting in one click. You also have the flexibility to choose different power size settings to compare results.

IBM SPSS SamplePower is the front end of a complete line of research and analysis software from SPSS, an IBM Company. Whether you’re an advanced or beginning statistician or researcher, you can easily identify the appropriate sample size – every time – with IBM SPSS SamplePower.

We highly recommend using IBM SPSS SamplePower with IBM SPSS Statistics Base.

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Operating systemHardware
Microsoft® Windows® 7, Windows® Vista®, Windows XP or Windows 2000 • Pentium-class processor
• 16 MB RAM
• 30 MB drive space
• SVGA monitor

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