Multivariate Analysis In Research
Multivariate Analysis is a set of statistical and computational techniques used in research to examine relationships among three or more variables simultaneously. It enables researchers to understand complex data structures, identify patterns, reduce dimensionality, and model interactions that cannot be captured by univariate or bivariate methods. Widely applied across natural sciences, social sciences, engineering, healthcare, economics, and data science, multivariate analysis supports robust decision-making, hypothesis testing, prediction, and data-driven discovery.
Multivariate analysis, Multidimensional data, Multivariate statistics, Multiple regression, Principal component analysis (PCA), Factor analysis, Cluster analysis, Discriminant analysis, Canonical correlation, MANOVA, Latent variable modeling, Dimensionality reduction, Data modeling, Pattern recognition, Statistical inference, Predictive analytics, Data interpretation
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