Statistical & Online Survey Advising
Statistical Advising and Online Survey Advising Services - Fall 2016
Advisers work only during the fall and spring semesters.
Advisers will answer basic, how-to questions about procedures and/or provide minimal interpretive help with the results of analyses when using Loyola-supported statistical applications.
Walk-in support is provided by statistical computing advisers in open access labs. Service is on a first-come, first-served basis and is designed to serve the needs of undergraduate and graduate students who have basic questions about particular procedures in the most commonly-used of Loyola's supported statistical analysis software packages: Minitab, R, SAS, and SPSS. The advisers are senior graduate students with backgrounds in research methods and quantitative research design and analysis and an excellent working knowledge of one or more supported statistical applications. Advisers work on a fixed schedule during class sessions.
|Day||Time||Adviser||Room Location||Campus||Application Specialties|
|Monday||8 am to 10:30 am||Ke Lian||CLC 732||WTC||SAS, R|
|Tuesday||2 pm to 8 pm||Ke Lian||CLC 732||WTC||SAS, R|
|Wednesday||8 am to 10:30 am||Ke Lian||CLC 732||WTC||SAS, R|
2 pm to 8 pm
|Friday||8 am to 10:30 am||Ke Lian||CLC 732||WTC||SAS, R|
|Saturday||No adviser on duty|
|Sunday||No adviser on duty|
During fall and spring semesters, if no statistical adviser is scheduled during regular business hours (9 am to 5 pm, Monday through Friday) email (preferred) or call: Lauree Garvin: email@example.com, (773) 508-7653.
Telephone support is available to students on week-days when there are no advisers on duty at the campus where a student is working. Call 773-508-2270 to reach an adviser at LSC; call 312-915-6652 to reach an adviser at WTC.
Advisers offer limited consultation for graduate students on thesis or dissertation research. The graduate student must have approval for such consulting from her/his thesis or dissertation chairperson. Assistance includes advice regarding the following: the selection of appropriate statistical models for analyzing data, data set design, statistical software programming, interpretation of program output to a degree appropriate to the research, and design of tables, graphs, and charts. Advisers will not run statistical analyzes for thesis or dissertation work nor assist with any writing activities.
Consulting is by appointment only. To schedule a consulting appointment contact Lauree Garvin at 773-508-7653, firstname.lastname@example.org.
There are two options for training:
- Teaching with Technology Clinics (TWTs) These are individual, hands-on sessions that last between 60 to 90 minutes. We will train faculty and graduate students actively involved in thesis/dissertation projects or in faculty research in the basics (getting started) of the following applications: IBM SPSS Statistics, NVivo, Opinio and SNAP. One week advance notice is required for TWT sessions.
- In-Class Demonstration/Hands-on Sessions Faculty can request a demonstration for their classes of the following applications: IBM SPSS Statistics or NVivo. Classes can be demonstration-only or involve some hands-on work. If hands-on is required the faculty member is responsible for booking a computer lab in which to hold the training. Two weeks advance notice is required for for in-class demonstrations/hands-on sessions.
Contact Lauree Garvin, email@example.com, 8-7653, to arrange TWT or In-Class sessions.