Welcome to the Center for Research Methods and Data Analysis!
Knowing how to logically design a research study and properly analyze the gathered data are two of the most critical knowledge tools a student can acquire during his or her training. The Center for Research Methods and Data Analysis and the Quantitative Training Program at the University of Kansas are dedicated to the complementary missions of (a) training students at both the Undergraduate and Graduate levels in state-of-the-science methodology and data analysis and (b) providing best-practice support to students, staff, and faculty in the conduct of their research. These pages provide a portal to our quantitative training and support resources. On the side bar, you'll find information about the center and our training programs, including the new social and behavioral sciences methodology minor for undergraduates, our graduate training program, and our very popular summer institutes on advanced methods (affectionately referred to as the KUant 'Stats Camps'). You'll also find ample resources for support of your quantitative needs, including our friendly and useful KUant tools, KUant guides, and KUant links.
We encourage you to join our announcement list serve (Methods-L) so you can be informed of events and talks related to methodology. Specifically, Methods-L is an announcement list whereby we periodically inform the KU community about methodology related events or activities that may be of broad interest to researchers at KU. For more information on how to join the Methods-L list serve (or any KU list serve) click here.
Todd D. Little named AAAS Fellow
The world's largest general scientific society, the American Association for the Advancement of Science, has named Todd D. Little, director of the Center for Research Methods and Data Analysis and professor in the Department of Psychology, as a 2012 AAAS Fellow
Once upon a Monday dreary, while I pondered, weak and weary,
O’er many a line of LISREL code I wrote the night before —
Constant typing, never resting, at my Fraser 10 desk, nesting,
‘til I’m done invariance testing, testing how the loadings score.
"Some shared variance,” I requested, “psychometric properties galore —
- Some shared variance I seek, but nothing more."
Failed to find constructs’ emergence—many problems with convergence.
How I wish to rest, but now I must complete my chore.
Indicators I inspect, which can be parceled to detect
The latent constructs they reflect. “REJECT the null”—to say this, I implore!
But will these parceled items be the window (or screen door),
- Into the latent space I now abhor?
Although my office is dungeon, I find that I can’t begrudge an
Advisor whose name is known in quant journals of yore.
Parameters are not equivalent across these groups—the time I’ve spent
Upon a model not improved by one percent! Assent is given to ignore
The TLI that is so low it dangles near the floor:
- “Use the RMSEA, and nothing more.”
LISREL makes my mind erode, so in Mplus I shall code—
Only by a change in language shall attention be restored.
Complex model, how I try to correctly specify,
Yet I fail again! How loud I cry, "No more!
The way these constructs are defined, these indicators are so very poor
- That they shall reveal them nevermore!"
Center for Research Methods and Data Analysis
1425 Jayhawk Blvd., Room 470
Lawrence , KS 66045 -7556
Or e-mail: CRMDA