##Statistics Seminar##\\ Department of Mathematical Sciences
^ **DATE:**|Thursday, Month 31, 2017 |
^ **TIME:**|1:15pm -- 2:15pm |
^ **LOCATION:**|WH 100E |
^ **SPEAKER:**|Wangshu Tu, Binghamton University |
^ **TITLE:**|Analysis of out-of-school suspension in New York (2011-2015)|
\\
**Abstract**
Out-of-school suspension is defined as temporarily excluding a student
from school and school related activities. High suspension rate may
reflect poor education quality and unsupportive academic environment.
Differential suspension based on a student's characteristics, such as
race and social economic status is of great concerns, and efforts need to be
made to eliminate the differences. This preliminary analysis focuses on
investigating the effects of race, rate of economic disadvantage, and
grade levels on suspension rates over a 5-year period. Preliminary
results
showed that suspension rates, as well as corresponding rates of racial
and
economic disproportionality were relatively stable over 5-year period.
Logistic regression and mixed-effects model were used to explore the
relationship between suspension and other variables.