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Though most innovations that are discussed revolve around new hardware, software, or services, it’s important to remember that there are still plenty of methodological innovations that are worth discussing in the frame of “innovation”. Recently, the Association for Psychological Sciences has posted a series of videos aiming to describe and familiarize researchers with statistical methods that go beyond simple Null Hypothesis Statistical Testing to more rigorously analyze data. Where their moniker of “the New Statistics” may be more marketing than it is content, the use of confidence intervals, effect size, power, and meta-analysis certainly go beyond simple ANOVA tests with p-value interpretation, and should be requirements for anyone in their understanding of statistical interpretation of data. If all of this sounds like a bunch of jargon, perhaps you should check out the first or second video, which focus more on the reasoning for having new statistical approaches in the first place, and how these statistical tools help.