BUiLD workshop: Power, Meta-Analysis and the Replication Crisis

BUiLD workshop: Power, Meta-Analysis and the Replication Crisis

By Faculty of Business and Law

Date and time

Thu, 28 Mar 2019 11:00 AM - 1:30 PM AEDT

Location

Sally Walker Building

Room AD3.131 (via VMP BL 3 39324.) Deakin University Geelong Australia

Description

Power, Meta-Analysis and the Replication Crisis

Tom Stanley, Professor of Meta-Analysis

This workshop is divided in two parts. The first part explores the replication crisis confronting researchers today, and the second part reviews statistical power. Attendees are welcome to attend one or both sessions. Lunch will be provided if four or more people register from Waterfront campus.

Understanding the Replication Crisis

11 am to 12.00 noon

The current replication ‘crisis’ in psychology and the social sciences confronts researchers with notable challenges and extraordinary opportunities. According to Wikipedia, “psychological research is, on average, afflicted with low statistical power.” This workshop will focus on the causes and implications of the replication ‘crisis’ and how we can transform the ‘crisis’ into a credibility revolution.

Lunch break

12.05 to 12.30 pm

Calculating Statistical Power—Retrospectively and Prospectively

12.30-1.15 pm

Statistical power is an important indicator of research quality. In this more technical presentation, Tom will demonstrate how to calculate retrospective and prospective statistical power, with an opportunity for questions. This talk will be an expansion and more detailed elaboration of this 10-min video.

Off-campus attendees are welcome to attend via VMP BL 3 39324.

Presenter

Prof Tom Stanley

Tom Stanley is Professor of Meta-Analysis at the School of Business, Deakin University. Since the 1980s, his research has focused on the development and application of meta-regression methods and the mitigation of publication bias. Prof. Stanley is Associate Editor of the Journal of Economic Surveys and Research Synthesis Methods. Tom is the convener of MAER-Net (Meta-Analysis of Economics Research Network) and a member of DeLMAR (Deakin Lab for the Meta-Analysis of Research).

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