They are variables that can take quantitative - as opposed to qualitative values. For example, the colour of peoples' eyes is a qualitative variable, but their age or shoe size are quantitative variables.
The coefficient of determination, otherwise known as the r^2 value, measures the strength of the linear relationship between two quantitative variables. An r^2 value of 1 indicates a complete linear relationship while a value of 0 means there is no relationship.
This kind of data is qualitative, meaning it is an observation of a particular facet of the observed thing. Quantitative date is numerically-based.
Quantitative means it can be measured. Qualitative is something that is subjective meaning there is no way to really measure it. Example: Quantitative: 2=2=4 This is always true. Qualitative: Puppies are cute. (this is only an opinion. No facts)
It is quantitative.
Quantitative comes from the word "quantity" meaning an exact amount. A quantitative variable, or answer, is one where an exact numerical value is expected, such as, Liz has 4 dogs. 4 is the quantitative value. Contrast this with qualitative, where an amount is given but without exact numbers. i.e. Liz has MORE dogs than Sue. * * * * * Or even Liz has Labradors, while her parents have Great Danes.
They are variables that can take quantitative - as opposed to qualitative values. For example, the colour of peoples' eyes is a qualitative variable, but their age or shoe size are quantitative variables.
nominal and ordinal is wrong; those are the two types of qualitative variables. Ratio and interval are the two types of quantitative variables.
No, it is quantitative.
The answer depends on the nature of the variables: for a start, whether they are qualitative or quantitative.
Interval and ratio
Qualitative research does control some variables. Mediating variables are the type that researchers can intervene with during a quantitative study.
A scatter diagram.
A quantitative variable is numeric and therefore can be counted discretely or continuously. The other side of the spectrum is qualitative variables.
When forming a hypothesis for quantitative research, a declarative hypothesis states the expected relation between variables, whereas a null hypothesis states that there is no significant relation.
! ANOVA is generally computed for two or more QUANTITATIVE variables. If the quantitative variables are two or less in number, people prefer the t test (one sample t, paired t, or independent samples t) The Independent variable however is qualitative( for example, Girls and boys or Names of Schools.) It is the dependent variable that is Quantitative (for example, the ages - 2, 5 , 70, etc or weight or number of somethings). If you have 2 independent variables, you go for the two way ANOVA. Else, it's the one way ANOVA. !
Some times. At other times it uses mutually dependent variables (changes in each variable affect the other).
Data are values of qualitativeor quantitative variables, belonging to a set of items collected from the experiment.