Critical Analysis of Quantitative Data Institute 2009

June 30th - July 3rd, 2009

Critical Analysis of Quantitative Data Institute Registration.

Location: UCLA Campus

Email: Lhawkins@gseis.ucla.edu for more information

Early Bird Registration Fee is $600 by May 30, 2009
Regular Registration Fee is $650 by June 15, 2009

Participants will learn how to ask critical questions, use techniques that have evolved to better understand inequities across the intersection of race, ethnicity, socioeconomic and immigration status, institutional type, and recognize anomalies in the data when groups differ from traditional theories used in research. They will also have an opportunity to interact with others to advance the research in this area.

Ideally participants will have basic familiarity with correlation/regression and factor analysis and SPSS or Stata format for data. Participants are encouraged to bring with them data sets with witch they are working and a laptop, for part of the time will be spent applying methods to different substantive issues and problems.

Accommodations for participants have been arranged at Hotel Angeleno. The package rate for single occupancy is $139 per night. The package rate for double occupancy is $139 per night. Hotel Angeleno is a boutique hotel with spectacular panoramic views of LA. The rate includes free parking and free shuttle service within 3 miles of the hotel including UCLA, Getty Museum and Brentwood.

Participants may register for one of two sessions:

Session 1: Using Multilevel Modeling to Study How to Narrow the Equity Gap
This institute course will focus on the use and advantages of applying multilevel modeling techniques to study equity issues where data allows examination of effects within nested contexts (states, institutions, departments). Hierarchical Level Modeling (HLM) software will be used with examples and in applications to problems participants bring to the course. Data examples will include how higher education policies and resources at the state, institution, or department level influences the “relationship” between college student outcomes and student characteristics such as SES, race/ethnicity, and gender. More recently, because educational researchers have begun to employ propensity score matching to simulate experimental design and dynamic panel modeling techniques when utilizing time series/cross sectional data, an overview of these techniques will also be covered in the Institute. Instructor: Marvin Titus

Session 2: Using Structural Equation Modeling to Study Educational Equity Issues
This institute course covers use of a broad array of regression type approaches (path analysis, panel analysis, structural equation modeling, confirmatory factor analysis, regression discontinuity analysis, regression artifacts/effects) to examine plausibility of various conceptual models and to explore issues of causation for phenomena where the available data are quasi- or non-experimental. Attention will be focused on advantages of going beyond basic regression analyses, on how data can be used to address issues of public policy and practice, and on challenges in teasing out potential impacts of different variables when data are correlation. Available dat sets examine issues like what works in desegregated classrooms, antecedents of college remedial/developmental course taking, challenges of taking into account extraneous influences like regression effects when judging impacts of educational interventions, impacts of financial aid policy changes, and success of examination designed to go beyond what is assessed by standard K-12 norm-referenced assessments. Instructor: Geoffrey Maruyama

2009 Schedule

Wednesday, July 1, 2009 9:00am - 4:30pm Concurrent Sessions
6:00pm Reception & Dinner
 
Thursday, July 2, 2009 9:00am - 4:30pm Concurrent Sessions
 
Friday, July 3, 2009 9:00am - 12:00pm Concurrent Sessions
     

CANCELLATION POLICY

Registration, lodging and parking will be fully refundable until June 1, 2009. Anyone who cancels after June 1, 2009 will receive a registration credit for Critical Analysis of Quantitative Data Institute 2010 and, if applicable, be eligible for a parking refund. Lodging will not be refundable after June 1, 2009. If you are eligible for a credit and/or a refund, please call (310) 825-1925 or e-mail us at heri@ucla.edu.