Michael M.
Granaas
Department of Psychology
University of South Dakota
414 E. Clark St.
Vermillion, SD 57069
michael.granaas@usd.edu
Walk-in Advising Spring 2010: No Appointment Necessary
I am continuing with my practice of posting open advising times and advising students on a "first come, first served" basis. No need to book an appointment, just show up during one of the times listed and we'll chat about your schedule.
Advising is best done a few days before you are scheduled to enroll. Since enrollment starts the last week in March I start advising in ernest the week of March 22nd. .
When you arrive if there is already someone in my office, make yourself known. Advising for most students is enhanced when 2-3 student are being advised at the same time. Often one student will ask a question or bring up an issue where the answer benefits another student.
I will have advising forms available
Remember to bring a copy of your Webadvisor program of study.
Advising Times:Office Hours: 1:30 to 3:00 T/Th
Coffee time: 10:00 am - 11:30am F @ MUC
Contents
SPSS Information and HandoutsA discussion on computational versus definitional formulas in statistics
A discussion on where research ideas come from
Key
responsibilities
Teaching and
research. My primary teaching
is in the area of research methods and statistics as they apply to
psychology. I teach
a range of courses
from the sophomore level Introduction to Research to the graduate
Multivariate.
My research interests are primarily congruent with my teaching
activities. See my current projects section for more
information. I also serve the
university on a variety of committees.
Department
Psychology, College of
Arts & Sciences,
Contact
Information
Electronic
mail address: michael.granaas@usd.edu
Regular mail:
Heimstra Research Labs
Department of
Office
phone: 605-677-5295
FAX:
605-677-6604
I am
interested in a variety of
methodological and statistical questions especially as they relate to
psychological research. I am currently focusing on modeling as an
alternative
to null hypothesis testing and on the interpretation of interactions in
Analysis of Variance.
I also have
some interest in
Human-Computer Interaction, but am not currently active in this line of research.
Finally, I
have an ongoing interest in
regression methods appropriate for data in which both predictor and
response
variables are measured with error. Combine this with my interest in
modeling as
an alternative to null hypothesis testing and my interest in Structural
Equation Modeling is easy to understand.
Ph.D. 1986,
M.A. 1984,
B.A. 1981, Gustavus
Adolphus College,
Psychology and Computer Science
Look for
interesting sites here sometime
in the future
