Advanced Statistical Analysis

With a highly trained team of analysts we are able to employ advanced statistical techniques to help answer research questions. Common serviceses include

• Identifying latent groups.
• Finding the key drivers of an outcome variable (binary or continuous).
• Identifying statistical differences and effects sizes from experimental data.
• Finding optimal combinations of variables.
• Determining the best model fit.

Using a mix of our own software programs and commercial packages such as R, SPSS, and Minitab, we are able to provide methods including:

• ANOVA and general linear modeling
• Factor analysis
• Cluster analysis
• Reliability analysis
• Rasch modeling
• Logistic regression
• Multiple linear regression analysis
• Latent class analysis (LCA)
• Structural equation modeling (SEM)

The MeasuringU team can assist with analysis, formal write-ups (e.g. APA style), and explanations of the methods, assumptions, and guidance on interpretations and next steps.