Post by Glenn on Nov 17, 2008 17:56:50 GMT -5
Qualitative data
en.wikipedia.org/wiki/Qualitative_data
Qualitative data
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Not to be confused with Qualitative research.
The term qualitative is used to describe certain types of information. Qualitative data are described in terms of quality (that is, 'informal' or relative characteristics such as warmth and flavour). This is the converse of quantitative, which more precisely describes data in terms of quantity and often using a numerical figure to represent something in a statement.
Quantitative data falls into two broad categories: Discrete (or attribute) data and Continuous (or variable) data. Discrete data generally falls into three categories: Category data (eg. car type), Bi-nomial data (eg. pass/fail), and Count / Poisson data (eg. # of hairs on your head).
Qualitative data are generally (but not always) of less value to scientific research than quantitative data, due to their subjective and intangible nature.
It is possible to approximate quantitative data from qualitative data - for instance, asking people to rate their perception of a sensation on a Likert scale.
[edit] Examples
A quantitative way to report a particular room temperature would be "the temperature in this room is 23 degrees Celsius."
A qualitative way to report room temperature would be to say "this room is comfortably warm," or "this room is warmer than it is outside".
A quantitative way to describe the tree would be to say "The tree is 30 feet tall."
A qualitative way to describe a tree would be to say "the tree is taller than the building."
[edit] See also
Level of measurement
--139.80.123.36 (talk) 00:53, 17 October 2008 (UTC)
This statistics-related article is a stub. You can help Wikipedia by expanding it.
Retrieved from "http://en.wikipedia.org/wiki/Qualitative_data"
en.wikipedia.org/wiki/Qualitative_data
Qualitative data
From Wikipedia, the free encyclopedia
Jump to: navigation, search
This article needs additional citations for verification.
Please help improve this article by adding reliable references. Unsourced material may be challenged and removed. (March 2008)
This article or section is in need of attention from an expert on the subject.
WikiProject Statistics or the Statistics Portal may be able to help recruit one. If a more appropriate WikiProject or portal exists, please adjust this template accordingly. (November 2008)
Not to be confused with Qualitative research.
The term qualitative is used to describe certain types of information. Qualitative data are described in terms of quality (that is, 'informal' or relative characteristics such as warmth and flavour). This is the converse of quantitative, which more precisely describes data in terms of quantity and often using a numerical figure to represent something in a statement.
Quantitative data falls into two broad categories: Discrete (or attribute) data and Continuous (or variable) data. Discrete data generally falls into three categories: Category data (eg. car type), Bi-nomial data (eg. pass/fail), and Count / Poisson data (eg. # of hairs on your head).
Qualitative data are generally (but not always) of less value to scientific research than quantitative data, due to their subjective and intangible nature.
It is possible to approximate quantitative data from qualitative data - for instance, asking people to rate their perception of a sensation on a Likert scale.
[edit] Examples
A quantitative way to report a particular room temperature would be "the temperature in this room is 23 degrees Celsius."
A qualitative way to report room temperature would be to say "this room is comfortably warm," or "this room is warmer than it is outside".
A quantitative way to describe the tree would be to say "The tree is 30 feet tall."
A qualitative way to describe a tree would be to say "the tree is taller than the building."
[edit] See also
Level of measurement
--139.80.123.36 (talk) 00:53, 17 October 2008 (UTC)
This statistics-related article is a stub. You can help Wikipedia by expanding it.
Retrieved from "http://en.wikipedia.org/wiki/Qualitative_data"
