|Title:||Dyadic Data Analysis Workshop
|Instructors:||Deborah A. Kashy, Ph.D. (Michigan State University)
Robert A. Ackerman, Ph.D. (University of Texas at Dallas)
|Dates and Times:||July 8-11 (Monday-Thursday) 9:00 AM to 5:00 PM
July 12 (Friday) 9:00 AM to 12:00 PM for one-on-one consultation meetings only
|Contact Information:||Debby Kashy (email@example.com)
The workshop will focus on analyses for data in which both members of a dyad are measured on the same set of variables. Topics to be addressed include the measurement of nonindependence, the Actor-Partner Interdependence Model, the analysis of distinguishable and indistinguishable dyads, and the analysis of over-time dyadic data (e.g., dyadic growth curve models). The software package used in the workshop will be SPSS. Although the workshop does not require any prior knowledge or experience with multilevel modeling (a basic introduction to this analytic approach will be included during the workshop), participants are expected to have a working knowledge of multiple regression and analysis of variance, as well as SPSS.
This four-day workshop (with an optional ½ day on Friday) will include a lecture component with hands-on application of the material covered in lecture, as well as one-on-one consultation meetings concerning participants’ actual research and data analytic questions. There will be time for individual meetings with workshop instructors from 3:00pm to 5:00pm each afternoon, as well as on Friday morning 9:00-11:00. Participants are encouraged, but not required, to bring their own data so that they can apply these new methods to their own projects.
|• Day one:||Overview of issues unique to dyadic analyses. Topics covered will include data management and an introduction to multilevel modeling.
|• Day two:||Applying multilevel modeling to the dyadic case, estimating actor and partner effects using the Actor-Partner Interdependence Model. Users will apply this model to distinguishable and indistinguishable dyads, and instructors will discuss how to incorporate interactions between actor and partner effects into analyses.
|• Day three:||Continue with the Actor-Partner model and introduce over-time models of dyadic data.
|• Day four:||Continue with over-time models, including growth curve models, lagged models, and over-time actor-partner models.
|• Day five:||Individual meetings with instructors
The course is designed for faculty and professionals as well as for advanced graduate students in the social sciences who are comfortable with data analysis software (i.e., SPSS, SAS) and the use of multiple regression. We extensively discuss the use of multilevel modeling, but participants need not be familiar with this technique in advance. Instruction consists of lecture, computer applications, and individualized consultations. The emphasis will be practical with minimal emphasis on statistical theory, but those seeking more statistical information can arrange an individualized session with the instructors. Participants will learn how to analyze dyadic data, and be able to interpret the results from their analyses.
|Required Materials & Additional Information:
- Participants will need to bring a laptop computer with SPSS installed on it (Versions 17 through 21 will all work). PCs and Macs can both be used, but participants should be aware that the instructors are both PC users.
|Recommended Advance Reading:
- The book "Dyadic Data Analysis" by Kenny, Kashy, and Cook (2006), published by Guilford Press, will be used for the workshop. Participants would benefit from reading Chapters 1, 2, 3, 4, 7, and 13 of the book in advance. Copies of these chapters and other readings will be distributed at the workshop.
- Click on the "Register" button below. You will need an MSU ID to continue registration. Use the Create Account link in the top right corner to create a new registration account (linked to the e-mail address that you supply). Then login with your MSU Community ID and Password.
- You may then add this course to your Shopping Cart.
- When ready, click on the "Check out" button.
- You may then have to enter additional account information at this point.
- The system will ask if you want an Individual or Group registration. Use Individual.
- Next you will be asked for payment and billing information, and you may place your order.
- If you have any trouble with registration please contact the Help desk. They are available 24/7:
Local Help Line: (517) 355-2345
Toll Free Help Line: 1-800-500-1554
(North America and Hawaii)
- Space in the workshop is limited, and will be reserved on a first-come basis.
The nearest airport is Capital Region International Airport in Lansing (LAN), which is serviced by Delta Airlines, United Airlines, and Sun Country Airlines. The airport is about 15 minutes from MSU’s campus. The Bishop International Airport in Flint (FNT) is also reasonably close (about 45 minutes from MSU), and is serviced by AirTran, American Airlines, Continental, Delta, and Frontier. The Detroit Metro Airport (DTW) is also an option, but it is about 90 minutes away.
Taxi service is available at the Lansing airport. For individuals flying into Detroit, the “Michigan Flyer” bus (http://www.michiganflyer.com/
) offers an option to and from the airport.
There are several choices for housing accommodations for the workshop. One option is to stay at one of the hotels in the area near Michigan State University including the Kellogg Center or Candlewood Suites (see http://www.ctlr.msu.edu/cotravel/hotels_msulocal.aspx
). The other option is to go with housing provided by Michigan State University. This would be a single dorm room with a shared bathroom at Owen hall. The housing rate for this third option is inexpensive (Last year it was $35.00 per person per night for a single room – we have to work this out for this year still). Please note that these rooms are very basic and include the bare minimum (e.g., beds and linens); these rooms do not have air-conditioning, television, or a refrigerator.
Whatever the decision, workshop participants should plan to make their own arrangements for accommodations. If you would like to stay in the low-cost housing on campus, please email Debby (firstname.lastname@example.org).