Multiple-Group Factor Analysis Alignment

Multiple-Group Factor Analysis Alignment

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Sparse group factor analysis for biclustering of multiple data sources

MOTIVATION Modelling methods that find structure in data are necessary with the current large volumes of genomic data, and there have been various efforts to find subsets of genes exhibiting consistent patterns over subsets of treatments. These biclustering techniques have focused on one data source, often gene expression data. We present a Bayesian approach for joint biclustering of multiple d...

Establishing Factorial Invariance for Multiple-Group Confirmatory Factor Analysis

What is factorial invariance? When conducting multiple-group confirmatory factor analysis, one should establish factorial invariance. If a researcher establishes factorial invariance, then he or she is measuring the same construct across groups or across time. Factorial invariance is assumed when making a comparison between groups or between time points. When doing multiple-group confirmatory f...

Multiple Group Multilevel Analysis

Bayesian Group Factor Analysis

We introduce a factor analysis model that summarizes the dependencies between observed variable groups, instead of dependencies between individual variables as standard factor analysis does. A group may correspond to one view of the same set of objects, one of many data sets tied by co-occurrence, or a set of alternative variables collected from statistics tables to measure one property of inte...