Dr. Lynette H. Bikos
Pacific University Oregon

Grad Psych Stats: Toward a socially responsive recentering

Lynette H. Bikos (she/her), PhD, ABPP (Counseling Psychology), is Dean of the College of Behavioral Sciences, Learning, & Leadership at Pacific University Oregon. For more than 20 years, she taught statistics, research methods, and psychometrics courses to graduate students in Clinical and Industrial-Organizational Psychology.  She is authoring the open educational resource, ReCentering Psych Stats, as a socially responsive pedagogy in statistics/research methods training.  Dr. Bikos’ research interests lie at the intersections of vocational, global, and activist psychology, with a methodological focus on plotting longitudinal growth trajectories and examining the simultaneous effects of individual and contextual factors.  Dr. Bikos has served on several editorial boards, including the Journal of Vocational Behavior, Career Development Quarterly, Journal of Counseling Psychology, and Journal of Career Development.  Dr. Bikos is a fellow of the American Psychological Association, APA’s Society of Counseling Psychology (Division 17), APA’s Division of International Psychology (52), and the Western Psychological Association.

Dr. Bob Calin-Jageman

Dominican University

Estimation and Fair Testing: How to Teach the Tools Our Students Need to Make Good Use of Data

Bob Calin-Jageman is a professor of psychology and director of the neuroscience program at Dominican University.  He completed his undergraduate degree in philosophy at Albion College, his masters and PhD in psychology at Wayne State University, and post-doctoral training in neurobiology with Paul Katz at Georgia State University. Bob has played an active role in in replication research, Open Science, and efforts to improve statistical inference.  Along with Geoff Cumming, Bob is co-author of Introduction to the New Statistics, the first undergraduate statistics textbook to emphasize Open Science, estimation, and meta-analysis (now in its 2nd edition).  

Bob is the lead developer for esci (https://rcalinjageman.github.io/esci/), an open-source package for R, jamovi, and JASP designed to make estimation statistics and meta-analysis accessible for undergraduate trainees (currently averaging over 2,000 installs per month).  Bob has written commentaries on statistical inference for The American Statistician, The Journal of Neuroscience, Teaching of Psychology, The Journal of Undergraduate Neuroscience. Bob blogs about statistics with Geoff Cumming at https://thenewstatistics.com and on Bluesky (https://bsky.app/profile/thenewstats.bsky.social).