What are the different types of variables in research?

What are the different types of variables in research?

There are different types of variables and having their influence differently in a study viz. Independent & dependent variables, Active and attribute variables, Continuous, discrete and categorical variable, Extraneous variables and Demographic variables.

What are research variables?

A variable in research simply refers to a person, place, thing, or phenomenon that you are trying to measure in some way. The best way to understand the difference between a dependent and independent variable is that the meaning of each is implied by what the words tell us about the variable you are using.

What is the difference between nominal and ordinal variables?

Nominal scale is a naming scale, where variables are simply “named” or labeled, with no specific order. Ordinal scale has all its variables in a specific order, beyond just naming them. Interval scale offers labels, order, as well as, a specific interval between each of its variable options.

Is weight an ordinal variable?

An ordinal variable, is one where the order matters but not the difference between values. For example, you might ask patients to express the amount of pain they are feeling on a scale of 1 to 10. Variables like height, weight, enzyme activity are ratio variables.

What data type is zip code?

CHAR datatype

Is zip code a numerical variable?

Data are generally recorded values of variables. Some variables, such as social security numbers and zip codes, take numerical values, but are not quantitative: They are qualitative or categorical variables. The sum of two zip codes or social security numbers is not meaningful.

Is there any Ordinal sense to zip codes?

​b) Is there any ordinal sense to ZIP​ codes? Yes, since ZIP codes increase from east to west.

Is a zip code a discrete variable?

Nominal Variables : All nouns are nominal variables and come under discrete. That says, names of sales managers (people), geographies, countries, states and cities, even the addresses and zip codes (places), products and flowers (things) are discrete.

Is ZIP code continuous or discrete?

continuous Discrete Attribute Has only a finite or countably infinite set of values Examples from text: zip codes, counts, or the set of words in a collection of documents, binary data.

Is weight discrete or continuous?

Continuous random variables have numeric values that can be any number in an interval. For example, the (exact) weight of a person is a continuous random variable. Foot length is also a continuous random variable. Continuous random variables are often measurements, such as weight or length.