StatsBusters consultants are thoroughly versed in the analysis of data for many different subject areas. We can develop mathematical models to virtually test any hypothesis. Drawing on extensive experience with analysis and presentation methods, our analysts are able to use descriptive statistics such as measures of central tendency and variation to present results in a concise and effective manner.
StatsBusters also utilizes a variety of inferential techniques, including hypothesis testing, linear, logistic, and random effects regression modeling; hierarchical linear modeling; reliability testing, factor analyses; multidimensional scaling; and cluster analyses. Brief definitions of some of these methods can be obtained by clicking the links to the right.
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