Ad blocker interference detected!
Wikia is a free-to-use site that makes money from advertising. We have a modified experience for viewers using ad blockers
Wikia is not accessible if you’ve made further modifications. Remove the custom ad blocker rule(s) and the page will load as expected.
Individual differences |
Methods | Statistics | Clinical | Educational | Industrial | Professional items | World psychology |
In statistics, multidimensional analysis is a data analysis process that groups data into two or more categories: data dimensions and measurements. For example, a data set consisting of the number of wins for a single football team at each of several years is a single-dimensional (in this case, longitudinal) data set. A data set consisting of the number of wins for several football teams in a single year is also a single-dimensional (in this case, cross-sectional) data set. A data set consisting of the number of wins for several football teams over several years is a two-dimensional data set.
In many disciplines, two-dimensional data sets are also called panel data. While, strictly speaking, two- and higher- dimensional data sets are "multi-dimensional," the term "multidimensional" tends to be applied only to data sets with three or more dimensions. For example, some forecast data sets provide forecasts for multiple target periods, conducted by multiple forecasters, and made at multiple horizons. The three dimensions provide more information than can be gleaned from two dimensional panel data sets.
- ↑ Madalla, G.S., 2001. Introduction to Econometrics, New York: Wiley.
- ↑ Davies, A. and K. Lahiri, 1995. "A new framework for testing rationality and measuring aggregate shocks using panel data." Journal of Econometrics, 68(1), 205-227.
|This page uses Creative Commons Licensed content from Wikipedia (view authors).|