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Reserve a classroom


Schedule for
08/20/2008


Main Lab
140 Prospect St.
Room 101
No Events Today

Brewster Hall
124 Prospect St.
Room B-13
No Events Today

Consultant's Desk
140 Prospect St.
Room 100
10am- 1:30pm Foong Soon Cheong
1:30- 5pm Frank Limbrock


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Spring 2008 Workshops on statistical software

The Social Science Statistical Laboratory (StatLab) is pleased to announce our Spring 2008 software and statistics workshops. Each workshop will focus on quantitative analysis, research design, data management, statistics and/or relevant software titles.

These workshops are free and open to interested faculty and students of all disciplines, not only the social sciences. All Classes will be held in the Brewster StatLab, Fridays 10:00-noon. Classes may not take the entire two hours.

We have added a suggestions box to the registration form. If you have something in particular to cover, please let us know.

To register for our workshops, please send an email to stathelp@yale.edu expressing interest or come in to the statlab and let the consultant on duty know which workshops you'd like to attend.


Introduction to Matlab  MATLAB (MATrix LABoratory) is comprised of a high-level language and interactive environment with a relatively shallow learning curve when compared to traditional programming languages such as C, C++, and Fortran. MatLab is the de facto application for econometrics and visual modeling of algorithms. This class offers a very basic introduction to the application GUI and coding mechanisms. Basic statistical understanding is expected.

Intro MatLab Handout
February 29th
Intermediate R This is an introduction to statistical methods using the open source statistical software package R and how it compares with/compliments S-Plus. March 28th
Writing with Data
(aimed at Senior Thesis and dissertation proposal writers)
This workshop helps researchers figure out how to use quantitative analysis to strengthen a paper. Topics may include (depending on feedback): determining the question, basic survey design, statistical significance and inference, sample size, independent vs dependent variables, correlation vs. causation, and most importantly, tying the data to your thesis. Basic statistical understanding is not required or expected. April 4th
Intermediate SPSS Previous workshop feedback has suggested the need for a SPSS workshop that covered more than the basics. We welcome any questions/suggestions in advance so that they can be incorporated into the class design. Topics will include some (but not all) of the following: "more about the syntax editor", Missing Values Analysis (MVA), bivariate analysis, crosstabs, merging/splitting datasets, graphics, and working with large datasets. There will be a brief Q and A before the session to determine skill level of class. April 11th
Intermediate Stata Previous Stata workshop feedback has suggested the need for a Stata workshop that covered more than the basics. Topics will include some (but not all) of the following: different regression models, working with StatTransfer, Clarify, flow control, working with .do and .ado files, graphics, merging/splitting datasets, graphing and working with large sets of data. There will be a brief Q&A before and after the session to determine skill level of class. April 18th

See our previous Workshop Handouts.

After workshops, please give us Feedback. Thank you.

For more information send an email to stathelp@yale.edu or call (203) 432-3278.



©2007 Yale University
Social Science Statistical Laboratory
Certifying Authority: Themba Flowers
lm: Fri Feb 29 09:45:11 EST 2008