AIR 2009 Statistics Webinar Series: Section II Registration Open

The AIR Professional Development Services (PDS) Committee is offering another section of the Statistics Webinar Series, "Intermediate Statistical Applications for Institutional Research". This section offers the same content and expert presenters, only the webinars are presented on additional dates. Space in the second section is limited to 100 participants each. Additional webinar dates and details are shown below.

Registration for the second section opened to members Tuesday (9/22) at noon. Half of the webinar spaces are already sold. Register Now to confirm your spot.

If you are not a current member but purchase a membership today, you will have the opportunity to register for the webinars during the member only registration period of September 22nd - 25th and receive the special member price of $125 per webinar, or $350 for the complete series ($175 less than the non-member price). The special price for members will be available until all webinars are sold.

On September 25th, non-members will have the opportunity to purchase any remaining spaces at the regular price of $175 per webinar, or $525 for the series.

Additional Details

Pricing
AIR member: $125 per webinar ($350 for all three) – register September 22nd at Noon (ET)
Non-member*: $175 per webinar (no discount for all three) – register September 25th at Noon (ET)
*Purchase an AIR membership ($125) today to register for the complete statistics webinar series at a $150 discount

*Computer Hardware & Software Requirements for viewing AIR Webinars

Correlation and Regression – the foundation for statistical analysis
Presented by: Robert K. Toutkoushian, Ph.D.
Tuesday October 20th, 1:00 - 2:30 p.m. (ET) – REGISTRATION OPEN
Tuesday, October 13th, 1:00 – 2:30 p.m. (ET) - SOLD OUT

In this webinar, Dr. Toutkoushian will explore the fundamental techniques used to examine the relationships between two or more variables. Participants will learn how to estimate the parameters in a simple regression model; understand the assumptions underlying the model; and examine some of the ways to apply these models in the IR office. Dr. Toutkoushian will also explain more complex models in which more than one independent variable is said to influence the dependent variable (i.e. multiple regression), as well as demonstrate how to expand the regression model framework to examine non-linear functional relationships.

Analysis of Variance (ANOVA) – powerful statistical tool for a variety of IR applications
Presented by: Robert J. Ploutz-Snyder, Ph.D.
Tuesday November 3rd, 1:00 - 2:30 p.m. (ET) – REGISTRATION OPEN
Tuesday, October 27th, 1:00 – 2:30 p.m. (ET) - SOLD OUT

In this webinar, Dr. Ploutz-Snyder will provide participants with the basic tools needed to start using ANOVA. Webinar participants will learn how to use ANOVA to test for differences among three or more groups, and more importantly, learn how to isolate and analyze the effects of multiple independent variables and interactions between two or more independent variables.

Advanced Regression - applications for the IR toolbox
Presented by: Victor M. H. Borden, Ph.D.
Tuesday November 17th, 1:00 - 2:30 p.m. (ET) – REGISTRATION OPEN
Thursday, November 5th, 1:00 – 2:30 p.m. (ET) - SOLD OUT

In this webinar, Dr. Borden will explore the regression techniques that are most appropriate when considering binary groups (e.g., retained, not retained), multiple groups (e.g., chosen major), or percentages (e.g., retention rates). Participants will learn about the special treatment required of multiple regression when looking at many of the outcomes of interest to IR practitioners (many of the tenets of standard Ordinary Least Squares regression is violated in typical IR studies). Dr. Borden will also demonstrate a practical application of probit regression and logistic regression models through exercises that use institutional research datasets and problems.