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Welcome to Psychology 830!
Recitation: Friday 3:00-3:50 in Peabody 306
Office Hours: Monday from 2:30-3:30 and Wednesday from 12-1 in Davie
357
My E-mail Address: gottfredson@unc.edu
The lab serves as a complement to the lecture. We will mainly deal
with computing related issues and your homework problems during lab sessions,
although if you have questions about material presented in the lecture please
feel free to ask me. Each week in recitation I will demonstrate how to
perform data analysis in SAS, SPSS, and R. The code for these
techniques will be posted on this page (hopefully, by Thursday night so you
can print it out for class), along with useful explanations about the code.
As to the computing required in this class, we recommend these three
programs: SAS, SPSS, and R. You may use any one of these programs to
complete your homework assignment. Note that you may not have to
type in the data for your assignment; the dataset comes with the CD in the
back of the textbook. Come see me if the book you bought does not have
the CD in it.
- UNC graduate students:
SAS and SPSS are available in the computer labs in Davie Hall; talk to
Hugh Merriwether or Walt Bowen in Davie 359 if you
would like to load it on your own computer for free. SAS is also
available through ATN software
acquisition for free. You can also obtain SPSS from software
acquisition, and it costs about $30 initially, and it requires annual
license renewal ($20). R is an open-source implementation of the S
language that can be downloaded for free from this site.
- Some useful resources
for learning these programs are short courses at the Odum
Institute and courses at the Center for
Instructional Technology. We would also recommend the
following books:
Spector, Paul E. (2001). SAS Programming for
Researchers and Social Scientists.
Delwiche, Lora D. (1998). The Little SAS Book.
DiIorio, Frank C. (1991). SAS Applications
Programming: A Gentle Introduction.
Hatcher, Larry and Stepanski, Edward J. (1994). A
Step-by-Step Approach to Using the SAS System for Univariate
and Multivariate Statistics.
Cody, Ronald P. & Smith, Jeffrey K. (1997). Applied Statistics and the
SAS Programming Language. 4th Ed.
Helpful sources for learning R:
R
introduction pdf
This website shows how
to make nice graphics
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