Contents
Can factor analysis be used on ordinal data?
There are currently three main approaches to perform FA (including PCA as its special case) on categorical ordinal or binary variables (read also this account about binary data case, and this consideration about what might be done with ordinal scale). Optimal scaling approach (a family of applications).
What is ordinal data Likert scale?
Individual Likert-type questions are generally considered ordinal data, because the items have clear rank order, but don’t have an even distribution. Overall Likert scale scores are sometimes treated as interval data. These scores are considered to have directionality and even spacing between them.
When to use Likert-type rating in factor analysis?
Traditional (linear) PCA and Factor analysis requirescale-level (interval or ratio) data. Often likert-type rating data are assumed to be scale-level, because such data are easier to analyze. And the decision is sometimes warranted statistically, especially when the number of ordered categories is greater than 5 or 6.
How to analyze Likert scale data-statistics?
The highlights of the debate over using each type of test with Likert data are as follows: 1 Parametric tests assume that the data are continuous and follow a normal distribution. Although, with a large enough… 2 Nonparametric tests are accurate with ordinal dataand do not assume a normal distribution. However, there is a concern… More
What is the difference between a Likert scale and an ordinal scale?
In other words, a Likert scale is a special type of ordinal data scale. Ordinal data don’t require those properties (balance, neutral value, and equal spacing), but in my mind, Likert scales do require those properties, but don’t require specifically 5-points.
When did Rensis Likert create the Likert scale?
Developed in 1932 by Rensis Likert to measure attitudes, the typical Likert scale is a 5- or 7-point ordinal scale used by respondents to rate the degree to which they agree or disagree with a statement (table). In an ordinal scale, responses can be rated or ranked, but the distance between responses is not measurable.