Online Program

Understanding Change Through Different Methodological Lenses (303044)

Keywords: longitudinal data, repeated-measures ANOVA, paired t-test, multiple regression

The search for the best methods to study change using longitudinal data has been a major concern for analysts in most industries, in particular the retail industry. This poster offers different examples of available techniques to analyze the process of change. First, I give examples of how conventional models based on generalized linear models (GLM) can be fitted to longitudinal data using a variety of procedures, from paired t-test to repeated-measures analysis of variance (rANOVA). Second, I discuss similarities and differences between these techniques. The general purpose of this poster is to provide a demonstration of the study of change being analyzed through different methodological lenses. The most immediate goal is to help analysts implement these techniques as a useful way to examine change in their area of interest.