You are presented with ages of women who were seen at OPD ranging from 16 years to 65 years. There are two ways in which these ages can be listed, qualitatively or quantitatively. Discuss how you can list or present this data qualitatively.
I can present this data by qualitative data in two ways
i. Nominal
ii. Ordinal
Norminal: Variables that are “named”, i.e. classified into one or more qualitative categories that describe the characteristic of interest. categories can be listed in any order without affecting the relationship between them.
Ordinal: Variables that have an inherent order to the relationshipamong the different categories, meaning of different levels may not be the same for different individuals. E.g their level of Pain level (mild, moderate, severe).
Thank you for the comment. Basically, qualitative variables refers to what cannot be counted, so we can say young women, middle aged women and old women. Quantitatively we can take their ages the way they are.
well tried. However think of it this way, Nominal and ordinal are scales of measurement. Here you are expected to present the data qualitatively, that is without using numbers or counts like young women, middle aged women and old aged women.
I can present this data nominal and ordinal as scales of measurement:
The above two are qualitative variables also categorical variables.: 1.Nominal: that is a classificatory scale e.g we can classify this women by their marital status, or their race, or village it is a qualitative classification of equal value. 2.Ordinal: it is a qualitative classification which can be rank ordered. or a simply a ranking scale e.g we can say their severity ranks from Good/Better/ Best.
I can present this data by qualitative data in two ways
ReplyDeletei. Nominal
ii. Ordinal
Norminal: Variables that are “named”, i.e. classified into one or more qualitative categories that describe the characteristic of interest. categories can be listed in any order without affecting the relationship between them.
Ordinal: Variables that have an inherent order to the relationshipamong the different categories, meaning of different levels may not be the same for different individuals. E.g their level of Pain level (mild, moderate, severe).
Thank you for the comment. Basically, qualitative variables refers to what cannot be counted, so we can say young women, middle aged women and old women. Quantitatively we can take their ages the way they are.
ReplyDeleteI can present this as a list in order of magnitude from smallest age to the largest age in a list table. It is called ordinal.
ReplyDeleteI can also make a list of ages of the women with the same diagnosis together as a bar chart for this data to make sense. It called Nominal .
well tried. However think of it this way, Nominal and ordinal are scales of measurement. Here you are expected to present the data qualitatively, that is without using numbers or counts like young women, middle aged women and old aged women.
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DeleteI can present this data nominal and ordinal as scales of measurement:
DeleteThe above two are qualitative variables also categorical variables.:
1.Nominal: that is a classificatory scale e.g we can classify this women by their marital status, or their race, or village
it is a qualitative classification of equal value.
2.Ordinal: it is a qualitative classification which can be rank ordered. or a simply a ranking scale e.g we can say their severity ranks from Good/Better/ Best.