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• W4381954278 abstract "A hallmark of behavior analytic research and practice is the collection, analysis, interpretation, and presentation of data aggregated above and beyond each single response occurrence. Unbeknownst to many behavior analysts, the previous sentence is the definition of “statistics.” Despite its often notorious reputation in behavior analytic circles, behavior analysts use statistics on a daily basis and in most (all?) of their applied and experimental work. In this chapter, we review what statistics are, why scientists and practitioners find them useful, the small branch of statistical analyses that should carry skepticism in null hypothesis significance testing, and common myths and misconceptions about statistics. Once the basics are reviewed, we outline how much of what statistics and data-based theory boils down to its comparisons of models about how an individual’s behavior is influenced by the environment in which they live. With this reframe about what statistics involve behind us, we then close the chapter by highlighting examples of statistics in applied behavior analysis to further drive home the point that behavior analysts do, in fact, use statistics with regularity and fervor." @default.
• W4381954278 created "2023-06-26" @default.
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• W4381954278 date "2023-01-01" @default.
• W4381954278 modified "2023-09-27" @default.
• W4381954278 title "The requisite boring stuff part I: Defining a statistic and the benefit of numbers" @default.
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• W4381954278 doi "https://doi.org/10.1016/b978-0-323-99885-7.00007-6" @default.
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