Hi Diana and Jon,

 

Please consider this for posting on the listserv; I am a subscriber under
[log in to unmask] 

 

Thanks,

Steve Porter

 

****

Hi all,

 

Some of your graduate students might be interested in this workshop:

 

Data management using Stata 

http://www.percontor.org/upcoming-workshop/introduction-to-data-management-u
sing-stata/

 

Most quantitative methods courses teach students how to analyze datasets
that are ready for analysis. In real world, creating analysis datasets is
often more time consuming and challenging than conducting analyses. The
purpose of this workshop is to introduce participants to the core data
management skills necessary for creating analysis datasets. These skills
will help researchers save time while increasing data quality.

 

By the end of the workshop participants will be able to:

 

*         Create Stata datasets from Excel spreadsheets or data stored in
other formats

*         Investigate data structure, identify errors in data, fix data
errors, and confirm that variables have been created correctly

*         Create analysis datasets that merge data from multiple sources

*         Create longitudinal datasets that append data from multiple time
periods

*         Create variables that require calculations across observations
(e.g., create measure of student GPA from a dataset that has one observation
for each course the student took)

*         Reshape the structure of analyses datasets (e.g., convert a
dataset that has one row per person and one column for each year to a
dataset that has one row for each person-year)

*         Automate the creation of results tables that are suitable for
publication, but without manually entering results

*         Increase efficiency and reproducibility of results conducting all
steps of data analysis from within Stata do-files (reading in data;
investigating/cleaning data; creating analysis variables; running analyses;
and presenting results)

*         Increase productivity by learning how to automate iterative tasks
(e.g., reading in multiple years of data; running analyses on different
subgroups) rather than writing separate commands for each task

 

Cheers,

Steve Porter

 

 

Business website:  <http://percontor.org/> percontor.org
Personal website:  <http://stephenporter.org/> stephenporter.org

 


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