Ottenere la dimensione corretta del campione al primo tentativo
Sia gli statistici che i ricercatori meno o più esperti possono identificare facilmente la dimensione del campione appropriata, per ogni tipo di criterio di ricerca e in qualsiasi momento.
Se la dimensione del campione è troppo piccola, è possibile che manchino risultati di ricerche importanti. Se invece il campione è troppo grande, potrebbe aver richiesto uno spreco di tempo e risorse. Trova la dimensione corretta del campione di ricerca in pochi minuti e testa i possibili risultati prima di iniziare lo studio, con IBM SPSS SamplePower.
- Trova il giusto equilibrio tra livello di fiducia, affidabilità della statistica, dimensione effettiva e dimensione del campione
- Confronta gli effetti di diversi parametri dello studio utilizzando strumenti di analytics flessibili
- Accelera le attività con una guida interattiva e con le funzioni di supporto integrate
- SPSS SamplePower include le seguenti procedure: media e differenze nelle medie, proporzioni e differenze nelle proporzioni, correlazione, ANOVA (Analysis of Variance) unidirezionale e fattoriale, Analysis of Covariance (ANCOVA), regressione e regressione logistica, test di equivalenza e analisi di sopravvivenza
- Sistemi operativi supportati: Windows
Per saperne di più
Acquista SPSS SamplePower
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Get Precise Results Faster with Flexible, Efficient Tools
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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
Compare Results Before You Begin Your Research
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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
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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
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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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