Featured Articles
Anonym
/ Categories: Items of Interest

New Home, New Lecture Schedule for CARMA

The CARMA Webcast Lecture Series was established in 2004 and continues as an annual event consisting of 10 live webcast lectures presented by nationally recognized methodologists. Dr. Paul Bliese led off this season’s events with a September 6 talk on panel data. Future webcasts include:

Date Topic                                                                     Presenter
Oct. 4 Dirty Data    Dr. Justin DeSimone, University of Alabama
Nov. 8  Big Data Concepts     Dr. Sang Eun Woo, Purdue University
Nov. 8  Big Data Analytics Dr. Fred Oswald, Rice University
Jan. 24 Exploratory/Confirmatory Factor Analysis Dr. Deborah Bandalos, James Madison University
Jan. 24  Neuroscience Methods and Organizational Research  Dr. David Waldman, Arizona State University
Feb. 21 Longitudinal SEM Dr. Le Zhou, University of Minnesota
Feb 21  Adapting Scales Dr. Erik Heggestad, University of North Carolina-Charlotte
Apr. 3 Grounded Theory/Discourse Analysis  Dr. Gail Fairhurst, University of Cincinnati
Apr. 3  Ethics and Research Methods     Dr. John Kammeyer-Mueller, University of Minnesota


Webcasts are delivered at 12:00pm ET. If two are scheduled the second begins at 1:15pm ET.

The Consortium for the Advancement of Research Methods and Analysis (CARMA) has moved to Texas Tech University's Rawls College of Business. CARMA Founding Director Dr. Larry Williams has joined the TTU faculty.  More information on this move, and the 2019-2020 Membership Programs, can be found at carmattu.com.

For more information on CARMA and how you can get involved, visit carmattu.com.

 

Previous Article Last Chance for SIOP Officer Nominations
Next Article Raise I-O Awareness Year-Round with #SmarterWorkplace Resources
Print
2250 Rate this article:
3.0
Comments are only visible to subscribers.

Categories

Information on this website, including articles, white papers, and other resources, is provided by SIOP staff and members. We do not include third-party content on our website or in our publications, except in rare exceptions such as paid partnerships.