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#REDIRECT ] |
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'''Univariate analysis''' is the simplest form of ].<ref name=babbie>], ''The Practice of Social Research", 12th edition, Wadsworth Publishing, 2009, ISBN 0495598410, p. 426-433</ref> The analysis is carried out with the description of a single ] and its ]s of the applicable ].<ref name=babbie/> For example, if the variable age was the subject of the analysis, the researcher would look at how many subjects fall into a given age attribute categories. |
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{{rcatsh| |
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Univariate analysis should not be confused with the ] - the analysis of two variables simultaneously - or the multivariate analysis - the analysis of multiple variables simultaneously.<ref name=babbie/> Univariate analysis is also used primarily for descriptive purposes, while bivariate and multivariate analysis are geared more towards explanatory purposes.<ref name=babbie/> Univariate analysis is commonly used in the first stages of research, in analyzing the data at hand, before being supplemented by more advance, inferential bivariate or multivariate analysis.<ref>Harvey Russell Bernard, ''Research methods in anthropology: qualitative and quantitative approaches'', Rowman Altamira, 2006, ISBN 0759108692, </ref><ref>on A. Cooper, Tony J. Weekes, ''Data, models, and statistical analysis'', Rowman & Littlefield, 1983, ISBN 0389203831, </ref> |
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{{r sec}} |
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{{r hist}} |
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A basic way of presenting univariate data is to present a ] of the individual cases, which involves presenting the number of attributes of the variable studied for each case observed in the ].<ref name=babbie/> This can be done in a table format, of with a ] or a similar form of graphical representation.<ref name=babbie/> A sample distribution table for an univariate analysis is given below: |
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{{r wikidata}} |
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{| border=1 cellspacing=0 cellpadding=2 |
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!Age range |
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!Frequency |
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!Percent |
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| under 18 |
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|10 |
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|5 |
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|18-29 |
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|50 |
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|25 |
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|29-45 |
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|40 |
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|20 |
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|45-65 |
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|40 |
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|20 |
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|over 65 |
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|60 |
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|30 |
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| Valid cases: 100 <br> Missing case: 0 |
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There are several tools used in univariate analysis; their applicability depends on whether we are dealing with a ] (such as age) or a ] (such as gender).<ref name=babbie/> |
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In addition to frequency distribution, univariate analysis commonly involves reporting measures of ] (location).<ref name=babbie/> This involves describing the way in which ] tend to cluster around some value.<ref>Dodge, Y. (2003) ''The Oxford Dictionary of Statistical Terms'', OUP. ISBN 0-19-920613-9</ref> In the 'univariate analysis', the measure of central tendency is an ] of a set of ], the word average being variously construed as ], ], ] or other measure of location, depending on the context.<ref name=babbie/> |
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Another set of measures used in the univariate analysis, complementing the study of the central tendency, involves studying the ].<ref name=babbie/> Those measurements look at how the values are distributed around values of central tendency.<ref name=babbie/> The dispersion measures involve most commonly studying the ], ], and the ].<ref name=babbie/> |
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==See also== |
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*] |
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*] |
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==References== |
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{{reflist}} |
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] |
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