Etymology
Meaning
"Multivariate" means:
Origin
The term "multivariate" was first used in the 19th century in the field of statistics to describe data that had multiple variables. It gained widespread use in the 20th century in various scientific disciplines, including psychology, economics, and medicine.
In-Depth Explanation
Multivariate data refers to a dataset that contains observations of multiple variables measured for each individual or observation. Each variable represents a different aspect or characteristic of the observation. For example, in a psychological study, a multivariate dataset might include variables such as age, gender, personality traits, and cognitive abilities.
The analysis of multivariate data involves examining the relationships between the variables and identifying the factors that influence the dependent variable. Multivariate statistical techniques, such as regression analysis and factor analysis, are used to explore these relationships and extract meaningful insights from the data.
By considering multiple variables simultaneously, multivariate analysis provides a more comprehensive understanding of complex phenomena and allows researchers to identify patterns and make predictions that would not be possible with univariate analysis (analysis of a single variable at a time).
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