Question

Classify characteristics of the metrics for each subject (i.e. categorical, ordinal, interval or ratio)

Countries:

years 2014,2015,2016:

Survey scale:

Sample size:

month/day:

World:

Quality:

Ease of use:

Service:

Age:

What is your age?

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Education:

What is the highest level of education you have completed?

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Spending:

On average, how much do you pay for beauty and hygiene products or services per year?  
Include references to the following products: soap, deodorant, shampoo, conditioner, lotion,
perfume, cologne, make-up, chemical hair color, razors, skin care, feminine care, and salon services.

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Ad Frequency:

On average, how many beauty and hygiene advertisements, if at all, do you think you view or hear per day?  
Include references to the following advertisements: television, billboard, internet,
radio, newspaper, magazine, and direct mail.  

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Steriotype:

On average, how many of those advertisements, if at all, specifically subscribe to gender roles and stereotypes?

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Reinforcing: On the following scale, what role, if any, do these advertisements have in reinforcing specific gender stereotypes?

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Transform:

To what extent do you agree that empowerment advertising, which explicitly communicates the unique
differences in each individual, would help transform cultural gender stereotypes?

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Empowerment %: On average, what percentage of advertisements that you view or hear per day
currently utilize empowerment advertising?

Answer 1

Nominal Scale:

Nominal variable are categorical variables, whose categories are mutually exclusive.They can be simply viewed as labels.An observation can belong to only of the possible categories.

eg. Colour- Red, Green, Blue, Yellow.

Ordinal Scale:

Ordinal variables are similar to nominal variables in that they represent distinct categories.However they have a definite order.

eg. Level of satisaction- Very Satisfied, Satisfied, Not satisfied.

Interval or Ratio scale:

Variables measured in interval or ratio scale are continuous in nature.Difference of observation matters in interval scale, whereas ratio scale has an additional feature of a well defined absolute zero.

eg: Interval : Temperature (in degrees) - 0,10,30,40,60 (Here, zero doesn't mean no temperature)

Ratio: Income (in $) - 0,25,60,80,100 (However, here, zero clearly indicates no income)

From the given characterestics,( possible values given within braces)

We find that Sample size (100,150,240) , Age ( 9,25,42), Spending ($10,$25,$60), Ad frequency (12,8,5), Steriotype (6,3,1),Empowerment % ( 5%,9%,23%) are continuous variables.

They can be measured in either interval or ratio scale.

Variables like Countries, Years (2014,2015,2016), survey scale (3 point, 5 point, 7 point),Month /Day represent mutually exclusive categories, such that an observation can belong to any one of the possible categories.

They are measured in nominal scale.

The variables Quality (inferior/low, medium, superior/high) ,Ease of use (1,2,3 -in an increasing order of ease),Education levels,Reinforcing scale and Transform (Strongly agree, agree,neutral,disagree and strongly diasgree) indicates categories that are in a pre defined order.Here, one level is superior to the other in a specific order.

They are measured in ordinal scale.

Summarizing,