2007-02-26 07:16:52 · 7 answers · asked by Anonymous in Social Science ➔ Psychology
That's sad. A person with a clinical psychology degree don't know the difference between categorical and continuous data.
Categorical data places the subjects into categories. Good examples are male / female, black / white, yes / no, etc.
Continuous data is quantitative (can be expressed numerically). Examples are age, miles driven to work, hours of sleep, etc.
2007-02-26 08:51:30 · answer #1 · answered by michael.avery 3 · 0⤊ 3⤋
Nominal Data Psychology
2016-11-08 04:22:42 · answer #2 · answered by tani 4 · 0⤊ 0⤋
Categorical data is data which exists in distinct categories. An example of categorical data would be the number of people who have blue eyes, out of a sample of people. The figure is going to be a whole number.
Continuous data is data which exists along a continuum. An example would be the distance a person can jump on a long jump.
2007-02-26 09:10:34 · answer #3 · answered by nemesis 5 · 0⤊ 0⤋
This is a bit hard to explain in a text box, but here goes: it has to do with how many data points you have. Continuous means that you have output data on every possible input (at least between some defined minimum and maximum input) Discrete means there are a finite number of data points (sparse). There are some input data points that you don't have an output for.
2016-03-18 03:22:49 · answer #4 · answered by Anonymous · 0⤊ 0⤋
Categorical or discrete data is a type of data that can be easily quantified because its units of measurement cannot be split up. E.G. number of children. You cannot have 1.2 children
Continuous data can be split into smaller units of measurement. E.G. age of children. A child can be 8.2 years old because their age constantly changes as they continuously age.
It is like the difference between digital and analogue. In psychology, continuous data usually refers to time or patients' rating of their situation on a scale over time. For example in Shiffman et al (2006) study on smokers, the participants were provided with handheld computers that prompted them to rate their experiences by answering certain questions. The data obtained from this would be continuous because it is being updated over time and can be split into smaller values.
2007-02-26 07:42:43 · answer #5 · answered by queenbee 3 · 0⤊ 0⤋
Categorical data can easily be quantified. For example, the number of peanuts in a bag. Continuous data falls along a spectrum. For example, amount of water. You can measure continuous data by creating a scale. For water, we have volume. Now, replace water with intelligence and peanuts with number of people, and there you go.
2007-02-26 07:23:41 · answer #6 · answered by Dig a Pony 3 · 1⤊ 0⤋
Relationship to stimulus?
2007-02-26 07:22:04 · answer #7 · answered by ? 4 · 0⤊ 0⤋