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Retiring Statistical Significance: Interpreting and Reporting P-Values and Confidence Intervals Without Significance Testing

February 8 @ 1:00 pm - 4:00 pm

The misuse of null hypothesis significance testing (NHST) and p-value thresholds, together with selective reporting of statistically significant results, have produced an inundation of overstated conclusions and unreplicable results in scientific research.  Many of these abuses come from misunderstandings of how to interpret p-values, confidence intervals, the words “statistical significance”, and the uncertainty in a statistical result.  The misuse is so widespread that the American Statistical Association is calling for the retirement of NHST and the words “statistical significance”.  In this workshop, you’ll learn current recommendations of how to interpret and report the results of statistical analyses to reflect the uncertainty in the findings and to make expectations of future replication more realistic.  Hopefully, the adoption of these methods will refocus the aims of research to find scientifically significant rather than statistically significant results.

sign up here    Zoom access information will be sent the day before the workshop.

Details

Date:
February 8
Time:
1:00 pm - 4:00 pm
UCLA OIT