Nominal Data Dataset: Difference between revisions
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A [[Nominal Data Dataset]] is a [[dataset]] with [[nominal | A [[Nominal Data Dataset]] is a [[dataset]] with [[nominal value]]s | ||
* <B>Example(s):</B> | * <B>Example(s):</B> | ||
** a [[Categorical Data Dataset]] (with [[categorical dataitem]]s). | ** a [[Categorical Data Dataset]] (with [[categorical dataitem]]s). | ||
* <B>See:</B> [[ | ** a [[Congressional Voting Records Data Set (1984)]][http://archive.ics.uci.edu/ml/datasets/Congressional+Voting+Records] | ||
* <B>Counter-Example(s):</B> | |||
** an [[Ordinal Data Dataset]]. | |||
* <B>See:</B> [[Binary Dataset]], [[Ratio Scale]], [[Dependent and Independent Variables]], [[Nominal Level]], [[Ordinal Scale]], [[Interval Scale]]. | |||
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== References == | |||
=== 2016 === | |||
* (Wikipedia, 2016) ⇒ https://en.wikipedia.org/wiki/Level_of_measurement#Nominal_level Retrieved:2016-9-14. | |||
** The nominal type differentiates between items or subjects based only on their names or (meta-)categories and other qualitative classifications they belong to; thus dichotomous data involves the [[Constructivist epistemology|construction of classification]]s as well as the classification of items. Discovery of an exception to a classification can be viewed as progress. Numbers may be used to represent the variables but the numbers do not have numerical value or relationship: For example, a [[Globally unique identifier]]. | |||
<references/> | |||
=== 2010 === | |||
* http://www.psychology.emory.edu/clinical/bliwise/Tutorials/CHTESTS/choose/nom.htm | |||
** QUOTE: The following [[statistical hypothesis test|test]]s can be used with [[Nominal Data Dataset|nominal data]]. Which test you select is determined by the number of samples and whether you are testing an hypothesis about group differences or the association between independent and dependent variables. If you are testing an hypothesis about group differences, you also must consider whether the groups/samples are independent or dependent <BR> <HTML><IMG SRC=http://psychology.emory.edu/clinical/bliwise/Tutorials/CHTESTS/choose/nomorg1.jpg></HTML> | |||
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[[Category:Concept]] | |||
Latest revision as of 07:32, 22 August 2024
A Nominal Data Dataset is a dataset with nominal values
- Example(s):
- Counter-Example(s):
- See: Binary Dataset, Ratio Scale, Dependent and Independent Variables, Nominal Level, Ordinal Scale, Interval Scale.
References
2016
- (Wikipedia, 2016) ⇒ https://en.wikipedia.org/wiki/Level_of_measurement#Nominal_level Retrieved:2016-9-14.
- The nominal type differentiates between items or subjects based only on their names or (meta-)categories and other qualitative classifications they belong to; thus dichotomous data involves the construction of classifications as well as the classification of items. Discovery of an exception to a classification can be viewed as progress. Numbers may be used to represent the variables but the numbers do not have numerical value or relationship: For example, a Globally unique identifier.
2010
- http://www.psychology.emory.edu/clinical/bliwise/Tutorials/CHTESTS/choose/nom.htm
- QUOTE: The following tests can be used with nominal data. Which test you select is determined by the number of samples and whether you are testing an hypothesis about group differences or the association between independent and dependent variables. If you are testing an hypothesis about group differences, you also must consider whether the groups/samples are independent or dependent
- QUOTE: The following tests can be used with nominal data. Which test you select is determined by the number of samples and whether you are testing an hypothesis about group differences or the association between independent and dependent variables. If you are testing an hypothesis about group differences, you also must consider whether the groups/samples are independent or dependent