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2nd Annual OSU Statistics Workshop
Social scientists from disciplines such as sociology and psychology as well as applied disciplines such as Human Sciences and Business face similar methodological challenges. This Second Annual Statistics Workshop is designed to help doctoral students and research faculty become more familiar with cutting edge methods and current issues in empirical research. Some sessions will require participants to use statistical software during the class. The workshop registration will be limited due to space constraint in the computer labs. Register early to ensure your reservation!
May 15-16, 2017
Hosted by the College of Human Sciences
Oklahoma State University
Co-sponsored by the Center for Family Resilience
Monday, May 15th Morning (select one):
Modern Methods for Missing Data: Amanda Baraldi (OSU)
Multiple imputation & full-information maximum likelihood,
[or] Latent Mixture Modeling with Mplus: Isaac Washburn (OSU)
Discover distinct profiles of cases within a data set.
Monday, May 15th Afternoon (both, in sequence):
Progress and Promise from the Replicability Controversy: Barbara A. Spellman (Univ. of Virginia and former editor of Perspectives on Psychological Science)
From 2011-2015, Perspectives published over 100 articles related to the controversy and implemented a new procedure for mass replication of important studies.
Center for Open Science’s Reproducible Research Workshop: Courtney Soderberg
The Center for Open Science provides resources for greater transparency at every stage of the scientific process.
Tuesday, May 16th All day:
Ordered Regression Models: Andrew Fullerton (OSU)
Based on his 2016 book, Ordered Regression Models (CRC Press).
Cost: Early-bird registration by May 1: $200 (one day) $300 (both days)
May 2 – May 15 $250 (one day), $400 (both days) OSU Discounts available
Space limited to about 40 people for some sessions. A block of discounted hotel rooms is reserved through April 14th.
For further information, contact Robert Larzelere at email@example.com or (405) 744-2053.