The good news is that you probably don’t need to do the number crunching yourself (hallelujah!) but you do need to correctly understand and interpret the analysis created by your colleagues.

Regression analysis is a quantitative tool that is easy to use and can provide valuable information on financial analysis and forecasting.

A random-effects ordinal regression model is proposed for analysis of clustered or longitudinal ordinal response data. This model is developed for both the probit and logistic response functions.

Frequently, ordinal measurement scales are constructed either by coarse measurement of interval or ratio scales, or by assigning numeric scores to ordinal categories. When data on such scales are ...