Longitudinal data analysis methods revolutionize decision-making, transforming lives worldwide.
The article discusses traditional methods used in analyzing data collected over time. It covers descriptive approaches like time plots and paired t-tests, as well as meta-analysis. These methods help understand trends and effects but may not provide final conclusions due to hidden variables. The article also explains ANOVA and repeated measures ANOVA for analyzing data with multiple measurements. Lastly, it introduces MANOVA for analyzing multiple variables simultaneously. The article points out limitations of these classical methods in analyzing longitudinal data.