How to Test Interval-Null Hypotheses in JASP

As discussed on the Bayesian Spectacles blog, some statisticians have an visceral dislike of the point-null hypothesis, fueled in part by the conviction that the point-null is never true. Back in 1938, Berkson (pp. 526-527) already summarized the argument: “I believe that an observant statistician who has had any considerable experience with applying the chi-square test repeatedly will agree with…

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How to Do a Hierarchical Regression in JASP

The latest JASP version, 0.8.3, introduced a plethora of new features, including hierarchical regression. This blog post briefly describes this analysis. In traditional linear regression, predictors are selected that form a statistical model; this model is then compared to the null model that includes only the intercept term. Performance of the specified model is then assessed by metrics such as…

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Exact P-Values Upon Request: Breaking with an APA Guideline

The 6th edition of the APA style manual (American Psychological Association, 2010) states the following on the topic of reporting p-values: “When reporting p values, report exact p values (e.g., p = .031) to two or three decimal places. However, report p values less than .001 as p < .001. The tradition of reporting p values in the form p…

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The Mysterious VS-MPR

For its frequentist analyses, JASP offers familiar output: effect sizes, confidence intervals, and p-values. However, JASP also provides a more mysterious measure: the "Vovk-Sellke maximum p-ratio" or VS-MPR.

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