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In: Statistics and Probability

Are these measruements crorrect for SPSS? Gender : Nominal Number of services: scale Service: Ordinal Satisfaction:Ordinal...

Are these measruements crorrect for SPSS?

Gender : Nominal

Number of services: scale

Service: Ordinal

Satisfaction:Ordinal

Past phone provider: Nominal

Reason for leaving the service: Nominal

Features:Nominal

Cost per line: Scale

Age: Scale

If not please explain why?!

Solutions

Expert Solution

All these are correct scales of measurment for SPSS. Since

A variable can be treated as nominal when its values represent categories with no intrinsic ranking; for example, the department of the company in which an employee works. Examples of nominal variables include region, zip code, or gender of individual or religious affiliation. Nominal scale can also be coded by the researcher in order to ease out the analysis process, for example; M=Female, F= Female.

A variable can be treated as ordinal when its values represent categories with some intrinsic ranking; for example, levels of service satisfaction from highly dissatisfied to highly satisfied. Examples of ordinal variables include degree of satisfaction among the consumers, preference degree from very high to very low, and degree of concern towards the certain issue. Generally, it is preferable to assign numeric codes to represent the degree of something among respondents. For example 1=Highly satisfied, 2=satisfied, 3= neutral, 4= dissatisfied, 5= highly dissatisfied.

A variable can be treated as scale when its values represent ordered categories with a meaningful metric, so that distance comparisons between values are appropriate. Examples of scale variables include age in years, and income in thousands of Rupees, or score of a student in GRE exam. For example in a classroom of 60 students, each one would have given GRE entrance test, and therefore Scale is used to determine the average score for the class, or the highest and lowest score in the class so on and so forth.

orchestra answered 2 years ago
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