Quantitative Study Group

QSG meets every Thursday at 3:30 in 212 Haggar

Spring Semester 2008
April 4 Robert Perera
University of Notre Dame 		Discussion of power analysis: Two articles by G. R. Hancock
March 27 Chun-Ting Lee
University of Notre Dame
Determining the number of factors: eigenvalue-greater-than-one rule
revisited
March 20 Terri Pigott
Loyola University Chicago
 Current Methodological Issues in Meta-analysis
March 13 Yoshiyuki Ninomiya
Kyushu University, Japan
Selecting the Number of Factors in Exploratory Factor Analysis via Locally
Conic Parameterization
Feb. 28 Summer Zu
University of Notre Dame 		Using Robust Method to Test the Mediated Effect
Feb. 21 Stephen Tueller
University of Notre Dame 		SEM Structures within Classes
Feb. 14 Melissa Mitchell
University of Notre Dame 		Discussion of article by David Cole, Jeffery A. Ciesla, & James H. Steiger (Dec. 2007, Psychological Methods ) : The Insiduious Effects of Failing to Include Design-Driven Correlated Residuals in Latent-Variable Covariance Structure Analysis
Feb. 7 Manshu Yang
University of Notre Dame 		Regime-Switching Models with Time-Varying Transition Probability
Jan. 31 Nitesh Chawla
University of Notre Dame
Current Machine Learning and Data Mining Techniques

Fall Semester 2007

Nov. 28 Melissa Mitchell A Comparison of Item Score and Sum Score Analysis for Structural Equation Models
Nov. 14 Richard Gorsuch
Fuller Theological Seminary
Factor Analysis: Where We Are After 100 Years
Nov. 8 Robert Perera and Stacey Tiberio
University of Notre Dame
The Effects of Collinearity on Power with Dichotomous and Ordinal Outcomes
Nov. 1 Stephen Tueller
University of Notre Dame
The Effects of Cluster Separation and Separation Definition on Factor Mixture Models and Taxometric Models
Nov. 1 Danielle Cisler
University of Notre Dame
Model assignment and post hoc testing in factor mixture models: Effects of incorrect assignment on power
Oct. 12 Tenko Raykov
Michigan State University 		A Test for Stability in Measure Specificity in Multi-Wave Multiple Indicator Models
Oct. 4 Laura Lu
University of Notre Dame 		Classical multivariate results and later developments
Oct. 4 Manshu Yang
University of Notre Dame 		Simple State-Space Models in a Mixed Model Framework
Sept. 27

Summer Zu
University of Notre Dame

A Metropolis-Hastings Robbins-Monro Algorithm for Maximum
Likelihood Nonlinear Latent Structure Analysis
Sept. 20

Li Cai
University of North Carolina at Chapel Hill

A Metropolis-Hastings Robbins-Monro Algorithm for Maximum
Likelihood Nonlinear Latent Structure Analysis
Sept. 13 Metropolis-Hastings Robbins-Monro Algorithm discussion Article by Gu and Kong
NFS project description 		A stochastic aproximation algorithm with Markov chain Monte-Carlo method for incomplete data estimation problems

Sept. 6

 Ed Bensman, Center for Research Computing, University of Notre Dame Available Resources Presentation