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Conference on Mediation Models in Prevention Research:
Statistical Methods to Determine How Prevention Programs
Achieve Their Effects
March 23 and 24, 1998
Arizona State Unversity
The following speakers presented at the conference:
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Dr. Irwin Sandler -- Importance of Mediation Models As a Linkage Across
Phases of Prevention Research
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Dr.
William Hansen -- The Law of Maximum Expected Potential Effect: Implications
for Program Design
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Dr.
David Kenny -- The Effect of Small Samples on Tests of Mediation
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Dr.
David MacKinnon -- Distribution of Products Approaches to Testing the
Significance of Mediation Effects
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Dr. Jenn-Yun Tein -- Testing of Mediation Effects with Two Mediators in
the Causal Chain
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Dr.
Amiram Vinokur -- The Direct and Indirect Mediational Effects of the
JOBS Intervention for Unemployed Job Seekers
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Dr.
William Bukoski -- Observations on the Identification of Mediating
Variables in Drug Prevention Research
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Dr. Michael Sobel -- Causality: New Ideas on Mediated Effects
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Dr. John Graham -- A Stage-Sequential Approach to Mediation
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Dr. Christopher Winship -- Multicollinearity and Model Mis-specification
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Dr.
Jennifer Krull -- Mediation in Multilevel Models
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Dr. Bengt Muthen -- Mediational Modeling Using Latent Trajectory Classes
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Booil Jo -- Estimation of Treatment Effects in Mediational Models:
Finite Mixture Modeling of Non-Compliance for Intervention Studies
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Dr.
Stephen West -- Toward Understanding Effects of Individual Components
in Multicomponent Interventions
Speakers were asked to contribute information on their presentation or
approve of notes taken at the conference by Jeanne Hoffman that could appear
on this page.
List of Attendees
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