Application of Ordinal Data Measurement

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Applicationof Ordinal Data Measurement

Applicationof Ordinal Data Measurement

OrdinalData Measurement uses an ordinal scale to quantifyconceptsor variable that are non-numeric. It is based on a condition thereexists no information about the ranks between possible points placedon the pre-determined scale. Ordinal data is a type of categoricaldata which take into consideration the order of variable. The data isfurther separated into binary or non-binary (Torres, 2016). Thispaper describes the application of ordinal data measurement in mentalhealth behavioral agency.

Thedegree of illness for the patients is subjected to the non-binaryformat. The table below illustrates the range of illness exhibited bythe clients. The behavioral issues are ordered in regard todepression and withdrawal.

Table1: Behavioral Issue against Number of clients

Depression/Withdrawal.

Number of clients

Behavioral Score (D)

None

0

1

Mild

25

2

Moderate

17

3

Intense

18

4

Inthe above categorization, the condition measured is depression andwithdrawal. They are considered to the dependent variables. Sincethey cannot be ranked based on a precise scale. A statistician canuse their behavioral outcomes gauge their impact on an individual(Torres, 2016). The score can be used as a statistical notation undera letter ā€˜Dā€™fordepression. A similar system can be used for other issues that affectthe behavior of a person. For example, the clients exhibiting milddepression can be delineated as d1=0, d2=25, d3=17,d4=18. The sum of Diwilltotal the 60 clients. We can rank the prevalence ofdepression/withdrawal based on the number of people who are affected.

Inconclusion, it evident from the table that numerical numbers cannotbe used to determine the extent or severity of depression orwithdrawal, we, therefore, categorize them as mild, moderate orintense.

References

Torres,&nbspI.(2016). Ordering, Measurement, and Ordinal Measurement: APragmatic Perspective. Berkeley, CA.