QSG presents Xiaobei Li

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Location: 378 Corbett Family Hall

QSG this week features a talk by Xiaobei Li. The title of the the talk is “Regularized Structural Equation Modeling with Stability Selection“. The abstract for the talk is given below.

Regularized Structural Equation Modeling with Stability Selection by Xiaobei Li.

Regularized Structural Equation Modeling (RegSEM, Jacobucci, Grimm & McArdle, 2016) introduced regularization methods to the SEM framework to create simpler and more generalizable models. Since mediation models can be formulated under SEM framework, RegSEM could also be used to perform exploratory mediation analysis (XMed). Previous simulation results show that although most signals are detected by RegSEM, the false discovery rates is very high. Stability selection (Meinshausen and Buhlmann, 2009) is a very general technique designed to improve the performances of variable selection algorithms. It is based on resampling and has a very wide range of applicability. The proposed method combines stability selection with RegSEM to control false discoveries and improve generalizability. Two simulation studies are performed to compare the performance of p-value based techniques, RegSEM, RegSEM with stability selection, and RegSEM with bootstrapping. The first one is selecting among multiple predictors of a latent variable in a MIMIC model. The second one is selecting mediators in a multiple mediator model.

QSG meets on Thursdays from 3:30-4:45pm in Corbett 378. All are welcome, and we hope to see you there.

For a complete list of speakers for Spring 2019, please visit this link.

 

The primary objective of this group is to provide students the opportunity to develop their critical thinking skills, presentation abilities, and knowledge of the most recent developments in quantitative and statistical methods and techniques. The seminar format of this course is designed to stimulate and foster the intellectual environment of the program and department as well as to engage students at all levels. This is one of the required courses for non-quantitative students to get their minor in quantitative psychology. Quant minor requirements: https://psychology.nd.edu/graduate-programs/areas-of-study/quantitative/minor/