Skip to main content

Normalizing Data

Edited by: Published: 2010
+- LessMore information
Download PDF

Researchers often want to compare scores or sets of scores obtained on different scales. For example, how do we compare a score of 85 in a cooking contest with a score of 100 on an IQ test? To do so, we need to “eliminate” the unit of measurement; this operation means to normalize the data. There are two main types of normalization. The first type of normalization originates from linear algebra and treats the data as a vector in a multidimensional space. In this context, to normalize the data is to transform the data vector into a new vector whose norm (i.e., length) is equal to one. The second type of normalization originates from statistics and eliminates the unit of measurement by transforming the data ...

Looks like you do not have access to this content.

Reader's Guide

  • All
  • A
  • B
  • C
  • D
  • E
  • F
  • G
  • H
  • I
  • J
  • K
  • L
  • M
  • N
  • O
  • P
  • Q
  • R
  • S
  • T
  • U
  • V
  • W
  • X
  • Y
  • Z

      Copy and paste the following HTML into your website