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[Measurement and Variables, 12 points] Researchers are trying to see if politica

ID: 2922297 • Letter: #

Question

[Measurement and Variables, 12 points] Researchers are trying to see if political opinion (Very Conservative to Very Liberal) has any effect on choice of college major (Science/Math, Social Science, Humanities, Business, Nursing,.. They look at primary major at graduation. 7. a. What are the measurement levels of the two variables involved? le for each of the following measurement levels: Nominal, Dichotomous, Discrete, Continuous. [Extra Credit, 2 pts] Why (in the real world) might someone consider the political opinion variable options flawed/useless? c.

Explanation / Answer

Ans:

a)very conservative to very liberal are political opinion listed in order,so have ordinal level of measurement.

Science/ math,Social science ,Humanities ,Business,Nursing are name of college majors have nominal level of measurements.

b)

Nominal variables are variables that have two or more categories, but which do not have an intrinsic order. For example, a real estate agent could classify their types of property into distinct categories such as houses, condos, co-ops or bungalows. So "type of property" is a nominal variable with 4 categories called houses, condos, co-ops and bungalows. Of note, the different categories of a nominal variable can also be referred to as groups or levels of the nominal variable. Another example of a nominal variable would be classifying where people live in the USA by state

Dichotomous variables are nominal variables which have only two categories or levels. For example, if we were looking at gender, we would most probably categorize somebody as either "male" or "female". This is an example of a dichotomous variable (and also a nominal variable). Another example might be if we asked a person if they owned a mobile phone. Here, we may categorise mobile phone ownership as either "Yes" or "No". In the real estate agent example, if type of property had been classified as either residential or commercial then "type of property" would be a dichotomous variable.

Discrete or Continous:

Age and Income are continuous numerical variables. (Although the recorded ages have been truncated to whole numbers, the concept of age is continuous.)

In general, a continuous variable is one that is measured, not counted. Height, for example, is measured. Weight is measured. Temperature, time, distance - all are continuous variables.

Number of children is a discrete numerical variable (a count).

The number of siblings a person has is a discrete variable, or a variable that has only certain values

c.Political opinion variable options may be considered flawed or useless,as theere may be biasing in meausring these variables due to their nature.

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