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PRE-CONFERENCE
TRAINING
SPR provides
training opportunities in prevention
science during pre-conference
workshops scheduled for Tuesday,
May 29, 2007. All workshops require
registration.
Pre-Conference
#1
DATE: Tuesday, May 29, 2007 Hyatt
Regency Washington
TIME: 8:30 AM – 5:00 PM
(Lunch on your own)
Underlying
Mechanisms in Liability for Dysregulatory
Behaviors
Chairs: Dr. Jenae Neiderhiser,
George Washington University,
Dr. Diana Fishbein, RTI International
This
workshop will clarify how genetic
and environmental factors operate
together and to discuss the relevance
of this to prevention research.
Areas covered will be genetic
influences (both molecular and
quantitative) on relevant behaviors
(endophenotypes), interplay of
genes and the environment through
correlation and interaction, changes
in gene expression as a result
of changes in the environment
and vice versa, etc. The presentations
will be focused on describing
the methods and interpretation
of findings in each area and not
on presenting new research. Attendees
should expect to actively participate
throughout the day with the objective
of having a better understanding
of how to interpret and potentially
use findings in these areas in
their own work. More
details…
Pre-Conference
#2
DATE: Tuesday, May 29, 2007 Hyatt
Regency Washington
TIME: 8:30 AM – 5:00 PM
(Lunch on your own)
Analysis
Of Preventive Intervention Data
Using Mixture Modeling In Mplus
Presenter: Bengt Muthén,
UCLA
This
workshop discusses methods for
analyzing longitudinal data from
preventive interventions. Such
studies raise questions of how
to analyze: Individual differences
in growth over time; Non-normal
outcomes for rare behaviors; Intervention
effects on trajectories over time;
For whom an intervention is effective;
Selective drop-out; Intervention
effects in the presence of non-compliance;
The multilevel nature of an intervention;
The power to detect intervention
effects. More
details…
Pre-Conference
#3
DATE: Tuesday,
May 29, 2007 Hyatt Regency Washington
TIME: 8:30 AM – 5:00 PM
(Lunch on your own)
Application
of Mixed Models for Longitudinal
and Clustered Data Using SuperMix
Presenters: Donald Hedeker
and Robert Gibbons, University
of Illinois at Chicago, Stephen
du Toit, Scientific Software International,
Inc..
This
workshop will discuss and demonstrate
SuperMix. SuperMix combines the
functionality of four mixed-effects
programs, MIXREG, MIXOR, MIXNO,
and MIXPREG, developed by Donald
Hedeker and Robert Gibbons into
a single application to provide
estimates for mixed-effects regression
models.
Mixed-effects
models are also known as multilevel,
hierarchical, or random-effects
models. These models can be used
for the analysis of longitudinal
data, where each individual may
be measured at a different number
of occasions. They can also be
used for clustered data, such
as for patients within clinics.
More
details…
Pre-Conference
#4
DATE: Tuesday,
May 29, 2007 Hyatt Regency Washington
TIME: 8:30 AM – 5:00 PM
(Lunch on your own)
Using Tested
Programs in the Real World—Strategies
and Tools to Promote Implementation
Fidelity
Presenters: Sharon Mihalic,
M.A., Center for the Study and
Prevention of Violence, University
of Colorado, William B. Hansen,
PhD, President, Tanglewood Research,
Abigail A. Fagan, PhD, Social
Development Research Group, University
of Washington
As
SPR promotes the broad dissemination
of tested and effective programs
in real world settings, implementing
programs with fidelity becomes
even more important, for both
scientists and practitioners.
This workshop is designed to build
knowledge, skills and tools for
moving tested and effective programs
to real world application while
replicating their original study
design. The workshop targets program
developers and prevention researchers,
with the goals of ensuring that
participants will: (1) Understand
the importance of achieving implementation
fidelity of tested programs; (2)
Agree upon common elements of
implementation fidelity and discuss
ways of measuring these elements;
(3) Discuss the pros and cons
of when and how to adapt programs
to the local situation; (4) Identify
general models, tools and strategies
that promote implementation fidelity;
(5) Develop tools and strategies
to promote implementation fidelity
for specific programs.
More
details…
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