Bridging Advanced Quantitative Methods and Applied Research in the Behavioral, Social and Health Sciences

BRIDGING ADVANCED QUANTITATIVE METHODS WITH APPLIED RESEARCH IN THE BEHAVORIAL, SOCIAL & HEALTH SCIENCES

Training

We currently offer workshops on Multilevel Modeling, Structural Equation Modeling, Structural Equation Models for Longitudinal Data, Mixture Models and Cluster Analysis, and Network Analysis. We also provide individually tailored instruction to groups with specific data analytic needs.

Consulting

We provide consulting services on each phase of the research process, from study design to the application and interpretation of quantitative methods. We offer several modes of consulting to suit a variety of needs.

Informing

We seek to provide you with the information and resources you need to be a knowledgeable user of quantitative methods, including tutorials on commonly used techniques, software demonstrations, discussion of common data analytic concerns, and updates on ongoing developments.

LATEST NEWS

What are modification indices and should I use them when fitting SEMs to my own data?

June 10, 2019
This is a great question and is one that prompts much disagreement among quantitative methodologists. Nearly all confirmatory factor analysis or structural equation models impose some kind of restrictions on the number parameters to be estimated. Usually, some parameters are set to zero (and thus not estimated at all), but sometimes restrictions come in the form of equality constraints or other kinds of structured relations among parameters. The model chi-square test reflects the extent to which these imposed restrictions impede the ability of the model to reproduce the means, variances, and covariances that were observed in the sample. Smaller chi-square values reflect that the estimated model is able to adequately reproduce the observed sample statistics whereas larger values reflect that some aspect of the hypothesized model is inconsistent with characteristics of the observed sample. (more…)