Some remarks by former students in this class, with this instructor:

 From a SCILS PH.D Student in LIS
I have built up my confidence in experimental design through this
interactive course. If you admire the well-designed experimental studies at
SCILS or other related disciplines, you don't want to miss this course.

From a SCILS Ph.D. in Communication

This is the kind of class where you will not just plan a study on paper, but
actually execute your plan, analyze the dataset in SPSS, write up your
results, and learn about every little detail of designing and conducting a
real experimental study. The class is very quantitatively oriented, and can
be demanding for those who lack in math/stat/programming background.
However, for me, the rewards were definitely worth the challenge. I highly
recommend this class to anyone who is here to be an independent researcher
after graduation because this is a chance for you to be one, with Paul's
guidance along the way.

 From a Computer Science PhD Student

"I am very happy I took this class. I learned quite a lot, although
the workload was very reasonable. I especially like the ANOVA
lectures, which I think is very important in social science studies.
The experiment class covering SPSS made me not only understand the
theory better, but also enabled me to conduct research immediately. I
definitely recommend this class."

 
From a SCILS Ph.D. Student in the LIS area.

My research involves relatively complex experiments that use a factorial
design. 619 was the only class I took in the PhD program that covered the
experimental paradigm in depth. It was my favorite class because it was
practical. The material covered and projects assigned were immediately
useful. The class covers the ~Swhy and how~T of experimentation using
exercises and discussion. The project in 619 is a great chance to design,
complete and report on a real ~Sdry run~T experiment. Dr. Kantor provides a
lot of guidance and teaching that directly addresses the students~R
interests. Most importantly, the exercises and projects teach you how to
relate the design of an experiment to the analysis that is planned.

Also, when I took the quantitative analysis class, the General Linear
Model was not covered in depth. The GLM is an important analysis tool for
the kind of complex experimental data gathered in the LIS field. 619 is a
great opportunity to learn about the practical application of the GLM to
this data. Again, because the analysis plan is essential to an effective
experimental design, this class is invaluable for any student who plans to
run an experiment.