Is the Replicability Crisis Overblown? Three Arguments Examined

Is the Replicability Crisis Overblown? Three Arguments Examined.

We discuss three arguments voiced by scientists who view the current outpouring of concern about replicability as overblown. The first idea is that the adoption of a low alpha level (e.g., 5%) puts reasonable bounds on the rate at which errors can enter the published literature, making false-positive effects rare enough to be considered a minor issue. This, we point out, rests on statistical mi...

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Christine R . Harris Is the Replicability Crisis Overblown ? Three Arguments Examined

We discuss three arguments voiced by scientists who view the current outpouring of concern about replicability as overblown. The first idea is that the adoption of a low alpha level (e.g., 5%) puts reasonable bounds on the rate at which errors can enter the published literature, making false-positive effects rare enough to be considered a minor issue. This, we point out, rests on statistical mi...

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Harold Pashler and Christine R . Harris Is the Replicability Crisis Overblown ? Three Arguments Examined

We discuss three arguments voiced by scientists who view the current outpouring of concern about replicability as overblown. The first idea is that the adoption of a low alpha level (e.g., 5%) puts reasonable bounds on the rate at which errors can enter the published literature, making false-positive effects rare enough to be considered a minor issue. This, we point out, rests on statistical mi...

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Is the call to abandon p-values the red herring of the replicability crisis?

In a recent article, Cumming (2014) called for two major changes to how psychologists conduct research. The first suggested change—encouraging transparency and replication—is clearly worthwhile, but we question the wisdom of the second suggested change: abandoning p-values in favor of reporting confidence intervals (CIs) only in all psychological research reports. This article has three goals. ...

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Assessment of P-value variability in the current replicability crisis

Increased availability of data and accessibility of computational tools in recent years have created unprecedented opportunities for scientific research driven by statistical analysis. Inherent limitations of statistics impose constrains on reliability of conclusions drawn from data but misuse of statistical methods is a growing concern. Significance, hypothesis testing and the accompanying P-v...

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Is the Replicability Crisis Overblown? Three Arguments Examined

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