Wikia

Psychology Wiki

Multidimensional analysis

Talk0
34,140pages on
this wiki
Revision as of 08:38, September 28, 2012 by Dr Joe Kiff (Talk | contribs)

(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)

Assessment | Biopsychology | Comparative | Cognitive | Developmental | Language | Individual differences | Personality | Philosophy | Social |
Methods | Statistics | Clinical | Educational | Industrial | Professional items | World psychology |

Statistics: Scientific method · Research methods · Experimental design · Undergraduate statistics courses · Statistical tests · Game theory · Decision theory


This article is in need of attention from a psychologist/academic expert on the subject.
Please help recruit one, or improve this page yourself if you are qualified.
This banner appears on articles that are weak and whose contents should be approached with academic caution
.

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.[1] 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.[2] 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.

ReferencesEdit

  1. Madalla, G.S., 2001. Introduction to Econometrics, New York: Wiley.
  2. 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.

See alsoEdit


This page uses Creative Commons Licensed content from Wikipedia (view authors).

Around Wikia's network

Random Wiki