Rating scale responses in a survey, such asLikert scales* *Note that sometimes a variable can work as more than one type! An ordinal variable can also be used as a quantitative variable if the scale is numeric and doesn’t need to be kept as discrete integers. For example, star ratings...
Principal compo- nents analysis and Factorial analysis to measure latent variables in a quantitative research: A mathematical theoretical approach. Bulletin of Society for Mathematical Service and Standars,, 2(3):3-14, 2013.Garcia-Santillan, A.; Escalera-Chavez, M.; Venegas-Martinez, F.; (...
Age is recorded on different measurement scales. We often have a choice of whether to record a given variable on either a quantitative or a categorical scale. How do we measure age quantitatively? Provide an example by which age can be measured categorica ...
Some examples of quantitative variables are height, weight, and shoe size.In the study on the effect of diet discussed above, the independent variable was type of supplement: none, strawberry, blueberry, and spinach. The variable "type of supplement" is a qualitative variable; there is nothing...
What is an example of a qualitative variable? Quantitative variables measure a quantity. They can be measured, so anything that can be measured or counted can be one. Ounces of soda, number of feet on a mammal, height of a tree. These are all quantitative variables. What are the types ...
Research papers will mention a variety of different variables, and, at first, these technical terms might seem difficult and confusing. But with a little practice, identifying these variables becomes second nature.
What is an example of a scientific bias? What are the two statistical challenges in cluster investigation? What two factors are considered in a quantitative diversity index? How do these factors differ from each other? What is the difference between preliminary and systematic library research? What...
Quantitativevariables in statistics can be ofdifferent types, but the most commonly used classification is that they can either be discrete or continuous. These types of variables have some inherent differences that the researcher needs to be aware of. ...
not 50% heads and 50% tails. The power of random sampling is that it can be analyzed reliably with quantitative statistical techniques such as those described in this chapter, allowing valid inferences about the entire population. Often these inferences are of the form ‘Aprobably is related toB...
Example You find that babies born to mothers who smoked during their pregnancies weigh significantly less than those born to non-smoking mothers. However, if you do not account for the fact that smokers are more likely to engage in other unhealthy behaviors, such as drinking or eating less hea...