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What’s All the Buzz About Bayes?
For a practical example, imagine that one day while strolling around your house, you notice that your fine china display has been smashed into pieces. You suspect that a burglar broke into your home and destroyed your precious dishware. You figure doing a Bayesian hypothesis test could help you get to the bottom of what…
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Cautions of Mediation
Wait, before you mediate! Make sure you don’t fall into this common trap of mediation analysis.
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Analysis of Variance (ANOVA): Why look at variance if we’re interested in means?
If you aren’t familiar with a procedure called, “Analysis of Variance (ANOVA),” it’s basically used to compare multiple group means against each other and determine if they are different or not. We can determine how similar or dissimilar multiple groups’ means are from one another by asking the question, “How much of the difference is…
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What is a Sampling Distribution?
Sampling distributions are one of the most concepts in statistics. This article introduces the basic ideas of a sampling distribution of the sample mean, as well as a few common ways we use the sampling distribution in statistics.
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Signal Detection: Decision Making in Uncertainty
We all experience uncertainty: How did I do on that test? What do they think of me? Where did I leave my keys? Is my phone ringing? In these and other uncertain situations, we have to take the evidence we have and make our best guess about the answer. Sometimes we’re right, and sometimes we’re…
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An Illustrative Guide to Statistical Power, Alpha, Beta, and Critical Values
Want to learn more about statistical power? What alpha actually is, or beta? And even what critical values represent? Look no further than this popular piece using illustrative examples to explain!
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Mediating and Moderating Variables Explained
What is the difference between a mediator and a moderator?
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Python for the Social Sciences: Toolkit Essentials
Why Py? Why should psychologists, or social scientists more generally, care about programming? The fact is anyone who uses softwares for data analysis relies on programming and many wonderful tools exist to give researchers improved control over their data for more efficient workflow. Although learning programming may seem an insurmountable task, with the right…