2020 NERA Conference
Invited Speakers, Workshops, and Sessions
The theme for NERA 2020 is “Say it Loud, Say it Clear: Communicating Results and Driving Change.” We are thrilled to announce our invited speakers, workshops, and sessions that will help to bring this theme to life. It is our goal to have at least one featured session or workshop aligned to each of the following nine content areas supported by AERA:
|Measurement and Psychometrics||Research Methods||Education and Psychology|
|Policy and Politics||Teaching and Teacher Education||The Professions|
|Social Context in Education||Technology in Education||Graduate Student Issues|
We will update this page as new speakers are confirmed, so check back often and we’ll see you in Trumbull October 14-16th
. Invited Speaker
Keynote Speaker: Dr. Nathan Kuncel
Dr. Kuncel is the Marvin D. Dunnette Distinguished Professor of Psychology and a McKnight Presidential Fellow at the University of Minnesota. His research is focused on the measurement of human cognitive and non-cognitive characteristics and their relationship to important life outcomes, including academic and job performance.
A Practical Introduction to Extracting Linguistic Variables from Text
Victoria Yaneva, PhD, NBME
Christopher Runyon, PhD, NBME
Come to this three-hour workshop if you want to learn how to extract a variety of linguistic variables from text. We are going to present practical ways to do so and provide an example of how these can be used in a simple machine-learning model for predicting variables of interest (stay tuned for details). More broadly, this workshop will also be an introduction to techniques from the field of Natural Language Processing (NLP), which allow extracting rich linguistic data corresponding to multiple levels of linguistic processing.
Quasi-Experimental Research Designs within the Educational Context
S. Jeanne Horst, PhD, James Madison University
Beth A. Perkins, MA, James Madison University
It is the fortunate educational researcher who has the privilege of randomly assigning students to experimental conditions. Thus, within the context of educational research, quasi-experimental research designs are common. In this three-hour webinar, we will explore quasi-experimental research designs. The first hour will offer an overview of quasi-experimentation, including pros and cons of several quasi-experimental methods (e.g., regression discontinuity designs, propensity score matching, and generalized boosted models). The remaining two hours will offer applied examples of traditional and current quasi-experimental approaches. Resources, including R code, will be provided for participants’ use following the workshop.
New to R? A beginner's workshop starting with the basics
Derek Sauder, PhD, American Board of Internal Medicine
In this workshop, participants will be introduced to R assuming no previous knowledge. As such, the workshop is geared towards R novices. The workshop will cover topics such as: 1) what is R and why to use it, 2) how to get data into R, 3) how to manipulate data in R, 4) R packages, and more! Participants will be provided all R code used in the demonstration and be given the opportunity to practice with R during the workshop. A laptop with R installed will be required.
Panel: Validity Evidence Based on Testing Consequences
Kristen Huff, EdD (Panelist), Vice President, Assessment and Research, Curriculum Associates
Keith Markus, PhD (Panelist), Professor, CUNY
Steve Sireci, PhD (Panelist), Professor, Distinguished University Professor, UMass Amherst
Debbi Bandalos, PhD (Moderator), Professor, James Madison University
Coordinated Session: Using scores for multiple purposes in the professions
Carol L. Barry, PhD, (Panelist), Senior Psychometrician, American Board of Surgery
Daniel P. Jurich, PhD (Panelist), Manager, Psychometrics, NBME
Pamela K. Kaliski, PhD (Panelist), Senior Measurement Scientist, American Board of Internal Medicine